The AI Times Monthly Newspaper

Curated Monthly News about Artificial Intelligence and Machine Learning

Neurons Global Network of Meet Up Groups

We are making really good progress on rolling out our global network of meetup groups. Especially considering we have only been growing the network this last few months. Its been amazing progress so far, and I expect to see a lot more activity next year.

We now have 14 groups setup with Chapter Leaders, and a plan to expand to over 22 groups by Q1 next year.

I was lucky enough yo join the Melbourne Chapter for their first meeting a couple of months ago, hosted at the Honey Bar, already planning the next meeting, and we now are setting up the Sydney Chapter. In addition we have partnered with NewZealand.AI to get our Auckland Chapter up and running as well.

Extended into Asia we have a Singapore and Bangalore Chapter planning their first meetings very soon.

From an Americas perspective, we have LA and SF Chapter Leaders, but would like to identify a New York Chapter Leader too. Also have our first Canada chapter setup in Ottawa.

We are also growing chapters into a number of cities within the UK and Europe.

Currently planning our out 2018 schedule, but as always please let us have feedback if you have any ideas or thoughts on what you would like to see and hear next year. Plus if you would like to speak at one of our events, please let us know, or if you would like to become a chapter leader, again please drop us an email at

Please keep an eye on our dedicated mini-site for our offline meetings at Chapters.Neurons.AI you can also join the newsletter and sign up to any of the groups that are close to you – these are also listed on the Chapters website.

Link to Full Article: Read Here

The Golden Age of Algorithms #GoldenAgeAI

It seems obvious that the future of wealth and prosperity will be driven by expertise with advanced algorithms. Some call it the next Space Race, others the next Arms Race, either way, we are entering the golden age of the algorithm. This is not only a national race, but also a commercial and individual race too. And calling this an Arms Race or Digital Warfare is probably more accurate than a Space Race.

We have already heard about an AI fighter pilot that is more performant and capable than the best of the best human test pilots, and AI applications are helping to defend against security cyber attacks. Computers are hacking computers. How is this not digital warfare?

But this isn’t just about traditional warfare, this is about business and commercial success too. Only those companies that embrace the benefits that advance algorithms can deliver will survive. This will be the new major differentiator for firms. One only has to look at some of the trailblazing firms to already see this happening. Business models are changing, dramatically, with global startups, unicorns, having defined the landscape of many traditional businesses.

Algorithms will have a massive impact on individuals too. In many cases they already are, from mortgage approvals, medical diagnosis, recommendations for purchases, to who you should date, they touch our lives in so many different and usually hidden ways that one can argue we are already being shaped and controlled by the power of the algorithm. We do this as we trust that data holds the universal truth and that we are making better decisions by putting our faith in the algorithms that analyse these huge datasets.

This raises alot of questions around AI Ethics, AI Governance and AI Safety, these are hot topics that many high profile advocate is highlighting a need for more investment and research on these subjects to support the rise of AI in general. Without these support frameworks the algorithms could spin out of control.

Are you ready for the golden age of algorithms?


Link to Full Article: Read Here

Join our Slack Workspace –


Some of our members requested this so we have just created a new Slack workspace for Neurons.AI members to join;


We hope our members find this new channel for collaboration an additional benefit of membership of this community.

Dont forget you can create Blogs, post on our Forums and message members directly on Neurons.AI.


Link to Full Article: Read Here

IoT Strategies for Elderly In-Home Care

The Internet of Things promises to streamline our lives in unprecedented ways. We are just beginning to see the emergence of the new, connected home. Smart thermostats, fridges, and even mirrors are emerging, joining our Nests and our Echos to make life a little simpler in this complicated age. As the physical and the online world continue their unstoppable merge, the landscape of the future is beginning to take on a whole new form.

We are living in a world with a rapidly ageing population. By 2050, it is expected that one in five people will be over the age of sixty. Already, that number is nearly one in ten. These figures are, of course, global – taking into account developing nations as well as the West. That’s not to say, however, that the problem isn’t as pertinent here as it is in other parts of the world.

In addition to more over sixties, we are also facing a crisis in elderly care. We know that the standard is not what it should be, and that human resources are limited in terms of carers and suitable homes for the elderly. Even in cases where people need professional help, they are understandably stubborn to leave their own homes, knowing full well that what they can expect may not be as as desirable a life as they are used to. With this crisis fully in mind, it is time to consider whether a better idea might be the use of smart home technology to help more people stay independent for longer.

The IoT strategies being discussed and gradually rolled out for elderly care vary from intelligent appliances to sensors and detection devices.

A home equipped with biosensors and infrared sensors to gather data which can be combined with the data held by physicians has the potential to give a much more rounded view of patient health and wellbeing. Monitoring carried out this way and data analysis performed by machine learning algorithms may be able to provide more informed information to family, carers, and medical staff to assist with accurate, personalised treatment. Data such as this will allow physicians to monitor patient condition and take steps where increments of decline are detected.

Embodying The Technology

Smart beds are available which are equipped with sensors that monitor pulse and breathing, as well as movement and presence itself. If a person fails to enter or exit the bed within a normal time window, or leaves in the middle of the night for example, an alert can be put out for the person to be checked on.

Cognitive assistance technologies, in the form of fall detectors, for example, will have a massive impact on elderly care. Falls are one of the greatest mortality risk factors for seniors, in terms of actual incidents and in the fears of individuals themselves. One particular device, developed by the Toronto Rehabilitation Institute, is a unit the size of a standard domestic smoke detector.

Advanced sensing capability combined with computer vision allow the unit to identify untoward movements and view the posture of the individual to assess whether a fall has taken place. To avoid error, the unit establishes a dialogue between itself and the individual to find out what has occurred. In the event of no response, or in the event of certain phrases or tone of voice, the unit will then send an alert to the appropriate party (emergency services, carer, or family member) for help.

This kind of unit is a significantly more effective device for fall detection than the standard wearable device currently favoured. These wearables can fail to be effective if the fall is severe, or if the patient is unwilling to use it.

Being able to detect motion in individuals is not only useful for fall detection. It also has applications for monitoring physical behaviours and for therefore detecting any anomalies. Such motion detectors can light rooms as the individual walks into them, and turn them off as the person leaves – a function that will also help to prevent accidents.

Then, of course, there is temperature monitoring and control. Smart devices, like those widely available on the general consumer market can monitor temperature within a home and keep it at a constant, healthy level. With so many elderly people suffering during cold winters, and in some cases dying from exposure, these devices will have an instrumental impact on in-home care.

Smart kitchens and smart shopping will be effective at ensuring that individuals eat well. Smart fridges that can tell you when food is out of date or when certain items need to be repurchased, and – in some cases – order those items automatically, are already available. Then there are smart hobs, ovens, and water systems that can prevent dangerous situations in the kitchen and also prevent flooding.

All of these IoT strategies are key examples of how we can improve elderly care through the use of technology. There are many more besides. One question, however, remains. As helpful as these devices are for keeping elderly people safe from harm and independent in their own homes, there is a risk that techphobic seniors may be unwilling to be monitored in this way. The answer to this, however, is to look at how attitudes change over time.

The elderly now have very different perceptions of technology to those which the older people of the future will have. Adoption will grow quickly as the benefits become ever clearer. However, the technology is here now, and for those seniors prepared to use it, the possibility of staying independent for longer will be enough of an incentive to put these potentially life-saving devices to use.

Link to Full Article: Read Here

Workshop – Practical AI techniques for Software Engineers

On November 15th, join us at RocketSpace London for an AI workshop hosted by ( They are bringing together top software engineers within the AI community to present their frameworks and research projects.

Location of Event (Country / City): London
Date of Event: November 15th 2017
Website of Event:

Link to Full Article: Read Here

Digital technology and automation: the end of capitalism or a new Lucas Plan?

Digital technology-driven automation and restructuring has been ongoing since the 1960s, most notoriously in the destruction of the printers’ unions by Rupert Murdoch in the 1980s.

Now, the impending ‘Fourth Industrial Revolution’ is creating widespread public anxiety about massive job losses caused by robots and software, and threats to workers rights as digital technology restructures the economy.  Some on the left have welcomed this trend, arguing that, with Universal Basic Income, automation can produce a post-work, or even ‘post-capitalist’ utopia.  Another left tradition, embodied by the Lucas Plan of the 1970s, argues for socially useful work and for putting human skills at the centre of production.

Location of Event (Country / City): London
Date of Event: 9th November 2017
Website of Event:

Link to Full Article: Read Here

Professional Services Robots Market To Surpass US$ 7,400 Mn By 2022

Professional Services Robots Market To Surpass US$ 7,400 Mn By 2022

The global professional services robots market is slated to touch a value of about US$ 7,400 Mn in the year 2022 and grow at a robust CAGR during the assessment period.

A rapid growth in the service industries and the pressing need to adapt to the changing demand of the consumers, market challenges and a rapid advancement in technology with a backdrop of cut throat competition are the factors responsible for the growth of the professional services robots market. Robots have made their presence felt already in the realm of industrial automation where they are employed for carrying out repetitive tasks. However, with advancements in the fields of machine learning, artificial intelligence, cognitive science and adaptive computing are enabling the robots to assist humans in a variety of tasks. The development of technologically advanced robots that have an improved intelligence and can perform touch-sensitive tasks in a better manner and in addition also have the ability to interact with humans seamlessly will help their better adoption in fields such as healthcare.

Professional services robots market is witnessing a sustained growth due to a variety of reasons. Some of these reason include improved usability, delivery of high quality and accurate services, reduced operational costs, reliability and no scope for human errors in the service robots. Professional service robots are used in various industries such as healthcare, defense and security, forestry, construction, agriculture, logistics and professional cleaning to name a few. On the other hand, personal service robots are used for entertainment and domestic purpose. Some of the other factors that influence the growth of professional services robots market include high cost of labor, increased investments in R&D, lack of a skilled workforce, a growing awareness regarding the benefits of using service robots and increased demand and levels of industrial automation. However, there are some restraints which are hampering the market growth of professional services robots such as high initial investments and concerns for the safety of humans.

North America Market Set to Dominate the Global Professional Services Robots Market in Terms of Revenue

The market in North America is set to dominate the global professional services robots market in terms of value and this trend is projected to sustain itself throughout the assessment period. North America professional services robots market is the most attractive market, growing at a robust CAGR over the forecast period.

The report has also included the profiles of some of the leading companies in the professional services robots market like Kuka AG, Robert Bosch GMBH, AB Electrolux, Northrop Grumman Corporation, Boston Dynamics, Inc., iRobot Corporation, Gecko Systems International Corporation, Daifuku Co., Ltd., Yujin Robot Co., Ltd, Aethon Inc. and Elbit Systems Ltd.

Report Overview with TOC @

Sherpa Forms World-Class Advisory Board to Realize Global Vision of AI-Based Personal Assistant Technology That Anticipates Your Needs

Sherpa Forms World-Class Advisory Board to Realize Global Vision of AI-Based Personal Assistant Technology That Anticipates Your Needs

CEO Xabi Uribe-Etxebarria will tap advisors’ diverse perspectives, networks, and experiences to expand into new markets, including the United States

Bilbao, Spain, November 02, 2017 – Sherpa announced today that it has formed a global Advisory Board and named its first advisors. Newly appointed advisors are British Airways Chairman and CEO, Alex Cruz; former Vice President and General Manager of Intel EMEA (retired July 2017), Christian Morales; technology analyst and former DEMO Conference Executive producer, Chris Shipley; and IDEO fellow and former Chief Strategy Officer at Apple and Palm, Doug Solomon. The Advisory Board will work with Sherpa CEO Xabi Uribe-Etxebarria to bring to market AI-based virtual personal assistant technology with predictive capabilities that enable virtual assistants to learn about users and anticipate their needs before they are asked. The Board will also assist the company as it expands into new markets, including the United States.

“Sherpa has a big vision for the future of predictive AI in virtual personal assistants,” said Uribe-Etxebarria. “A top-notch human personal assistant knows you well enough to anticipate your needs. To be truly valuable, virtual personal assistants should be no different. They should be able to learn facts about you, your preferences, and what you like to do. They should proactively deliver information, anticipate your needs, make helpful, timely suggestions—before being asked—and maintain a conversational thread. The people joining our Advisory Board share this vision, and have extensive experience and capabilities that will contribute to our success. Together, we will make it real.”

Sherpa technology is designed for manufacturers of consumer products, such as automobiles, intelligent ear speakers, in-home speakers and appliances, and wearables, seeking to add intelligence to their products and explore new business models based on offering digital services. Sherpa also makes a Spanish-language consumer app for smartphones and tablets. Preloaded on Samsung smartphones since 2016, the Sherpa app has been downloaded more than 1 million times and is the most widely used Spanish-language personal assistant app for consumers.

About the Advisors

Alex Cruz

Alex Cruz has spent his entire career in the aviation industry, having gotten his start at American Airlines and gained entrepreneurial experience as the founder of Clickair, a low-cost airline he started in 2006. Mr. Cruz led the merger of Clickair with Vueling, another low-cost airline, in 2009, and the acquisition of the airline by International Airline Group in 2013. He was appointed Chairman and CEO of British Airways in April 2016.

Christian Morales

For nearly 40 years, Christian Morales held senior international management roles at Intel, including most recently, Vice President and General Manager of Intel EMEA (retired July 2017). Mr. Morales has extensive experience in marketing and building brand awareness for new product segments as well as expanding and driving business into new and emerging markets. As Chairman of NeuroMem Technologies, he is helping bring to market technology inspired by the human brain that will allow everyday objects to have perception of their environment and interact with users through pattern learning and recognition.

Chris Shipley

Chris Shipley has worked at the crossroads of emerging technology and new companies throughout her career. As Executive Producer of the DEMO Conference for more than 15 years, and subsequently as an independent consultant, Ms. Shipley has been instrumental in bringing more than 1,500 startup companies and products to market. In 2002, Fortune Small Business Magazine cited her as a “most perfect board member;” in 2004, the San Jose Business Journal placed her at the top of its list of Most Influential Women in Silicon Valley; in 2009, the DEMO conference gave her a Lifetime Achievement Award; and in 2010, SVForum honored her with its Visionary Award.

Doug Solomon

Doug Solomon has more than 30 years’ leadership experience at the intersection of technology and people, and a special interest in collaborative approaches that enable people to innovate in ways they never thought possible. Dr. Solomon has led the design of products and services for Apple, Palm, and IDEO (as Chief Strategy Officer at both Apple and Palm and as Chief Technology Officer of IDEO). He also worked in the organizations of eBay founder Pierre Omidyar and Microsoft founder Paul Allen.

About Xabi Uribe-Etxebarria

Xabi Uribe-Etxebarria, Chief Executive Officer of Sherpa, is a serial entrepreneur, having founded Sherpa in 2011 and in 2009, Anboto Group, provider of customer engagement technology based on artificial intelligence and natural language processing. Uribe-Etxebarria has master’s degrees in Industrial and Organizational Engineering and Technical Industrial Engineering, specializing in Electronic Engineering, and Business Innovation from Deusto University, Bilbao, Spain, where he also did graduate work in Natural Language Processing. He is currently completing a master’s degree in Architecture. He also holds certificates in Entrepreneurship Development from MIT Sloan Management School, Negotiation from Monterrey TEC, and Digital Marketing from Harvard Business School. Uribe-Etxebarria holds a number patents, and has been recognized for innovation and entrepreneurship, including in the TR35, an annual list of the top innovators under the age of 35 published by MIT Technology Review and on the EL PAÍS “Top 100 of the Year” list of the most influential people in the Spanish-American world.

About Sherpa

Sherpa, based in Bilbao, Spain, is developing AI-based virtual personal assistant technology with predictive capabilities that enable virtual assistants to learn about users and anticipate their needs before they are asked. Sherpa technology is designed for manufacturers of consumer products, such as automobiles, intelligent ear speakers, in-home speakers and appliances, and wearables, seeking to add intelligence to their products and explore new business models based on offering digital services. Sherpa also makes a Spanish-language consumer app for smartphones and tablets. Preloaded on Samsung smartphones since 2016, the Sherpa app has been downloaded more than 1 million times and is the most widely used Spanish-language personal assistant app for consumers.
For more information, visit

Fable: Bots – The Future of Immersive AI

Bots mean business.

Cleo, the new bot you’ve been using, has been tracking your finances and tells you that you’re spending too much on going out to eat. To save money, you start to cook at home and turn to Jamie Oliver to help you find some new recipes. With the money that you’ve saved, you decide to treat yourself to a new lipstick. Unsure of what colour to go for, Estée Lauder Lip Artist helps you pick the perfect shade, even showing you what it looks like on before you purchase it.

Clever, right? If you aren’t already using Bots, you definitely will be soon. But what does the future hold? Imagine if there comes a time when you have a Bot to do all of the above, and more – book your holidays for you, pick the perfect wedding outfit, renew your insurance….we already share even the most personal of data as long as we see benefit in doing so – what could be better than your own personal ‘Bot’ assistant, who knows you better than you know yourself?

Is your business prepared for a future that is a reality?
Our latest Fable Digital Masterclass will reveal the role Bots will have in the future of your business – and how your brand needs to embrace this conceptual AI technology. Don’t wait for tomorrow.

Learn how:
To apply the right kind of AI to your brand
To bust myths surrounding bots and AI
Bots can understand and adapt to suit your business and brand needs
To stay ahead of your competitors with future technology
The exponential potential of AI
Our masterclass will be held at Barrio Soho, a pocket of Latin attitude in central London. Join us for fresh street food, tropical cocktails and plenty of bot discussion for an informal, relaxed and most importantly, fun learning experience.

Syd Lawrence; CEO, The Bot Platform
What are bots anyway? What are they not? What problems can they solve? Are they useful for business? Do people even want to chat to bots? How can companies and audiences benefit from bots? Syd Lawrence, co-founder of The Bot Platform and influential technology expert (Hospital Club 100), busts the many myths surrounding the AI phenomenon, arming you with everything you could ever want to know about Bots.
With over 14 years experience working with cutting edge technology, Syd has worked with global icons including The Rolling Stones, Coca Cola, Facebook, Microsoft, Samsung, Sony Music, Universal, Warner Music, and Greenpeace, winning a selection of awards along the way.

Adam Greenwood; CEO, Greenwood Campbell
A potent combination of big data, algorithms and processor power are truly enabling AI. How will this AI create a revolutionary new set of Bots that will not only change the lives of consumers – but how brands engage with them? Digital protagonist Adam Greenwood will introduce you to world where artificial intelligence will know you as well as you know yourself. Where you can live life in 360…and discover how you can use this conceptual cognitive AI to drive new experiences for your customers.

Further speakers to be confirmed

Timings & Venue
17.30 – Registration
18.00 – Talks
20.00 – Q&A and drinks reception

Barrio Soho, 6 Poland Street, Soho, London W1F 8PS
Nearest tube stations: Oxford Circus, Piccadilly Circus

This is an event for brands. Unfortunately we cannot accept attendee registrations from marketing or recruitment agencies.

Location of Event (Country / City): London, United Kingdom

Date of Event: 8th November 2017

Website of Event:

Link to Full Article: Read Here

How The Use of Natural Language Processing in Healthcare Can Revive The NHS

How The Use of Natural Language Processing in Healthcare Can Revive The NHS

Our healthcare system is already digital. Patient records have been electronic for decades now. When technology for the electronic recording of patient records was developed, it was a development that was already highly necessary.

For too long, hastily scribbled handwritten notes had been the only record of patients’ medical histories that existed. Digital records promised a new era, in which a more organised, streamlined healthcare system could emerge. Alas, the new technology simply created new problems. Doctors, always run off their feet, were liable to copy paste data and type notes that were almost as illegible as their infamous handwriting.

To counter the mess, systems were updated to try and simplify the note-taking process. Rather than leaving doctors free to input notes at random, it was reasoned that simply ticking boxes would make things quicker and easier to analyse. The result has still not solved the issue. Doctors now spend nearly half their time ticking boxes.

What the NHS needs is the streamlined approach that has long been dreamed of. These electronic records, whilst far from optimal, offer the potential for gathering strong, quantitative data that would have vastly beneficial applications across the healthcare sector.

We need electronic notes that go back years to have the capacity to be mined for key risk factors, or for other historical elements necessary to identify correlations and causations automatically. Such a development would remove the necessity to constrain searches to structured data fields (such as prescription lists).

We need data analytics capable of reviewing a patient’s clinical notes and suggesting medication based on a ‘patients like this responded best to drug A, rather than drug B’, in a kind of Amazon-style recommendation format. We could really do with analytics capable of predicting certain outcomes. If we had access to all of this, patient health could be vastly improved, processes could be optimised and clarified, and the NHS could save a lot of money.

These are solutions that experts working in the field of NLP in healthcare are creating.

Natural language processing offers the opportunity for us to effectively quantify case notes in a way that far exceeds the levels of accuracy of any other strategy the healthcare system has seen before. The sheer volume of patient records in existence means that untangling the data and turning it into useful and insightful information would be a costly and time-consuming business (to say the least!). If, however, computer scientists are able to develop natural language processing to a point at which an AI could process the data automatically, we will be in a strong position to make all these dreams a reality.

History has taught us that doctors prefer taking written case notes as opposed to using the automated functionality of the systems they are expected to use at present. Using artificial intelligence to ‘read’ these qualitative notes and transform them into quantitative data will allow doctors to carry on working in the way that they are most comfortable, whilst simultaneously providing the crucial data the healthcare system needs.

That’s not to say that the qualitative nature of doctors’ case notes aren’t a challenge for NLP researchers. It is the biggest struggle currently facing the effective realisation of the technology for practical use.

So what ways could this data be used?

  • Unlimited Data Samples: The data samples available are not limited by resource constraints and literally work from real-world data rather than trials and tests.
  • Retrospective Analysis: Quantified records can be worked through from the start, informing what treatments or other interventions would be most suitable.
  • Broad Outcome Measures: Factors not currently analysed, such as psycho-social factors and Quality of Life can be measured, contributing to a holistic view of patient condition and care.
  • Single Automated Data Entry: No manual coding; no human intervention required.
  • Independent Background Process: Analysis would be an ongoing background process separate to clinical workflow.
  • Direct Measures of Clinical Quality: Direct measures of clinical quality rather than metrics based on activity data. 
  • Undistorted Clinical Process: An alternative to activity-based KPIs and targets. Thus, less distortion of clinical process to meet targets.
  • Improved Efficiency: Greater clinical efficiency and a reduction in unnecessary interventions. 
  • Improved Clinical Decision-Making: Decision-making can be informed by the data to reduce rates of readmission, length of hospital stays, and so on.

One of the greatest problems facing the NHS is the factors taken into account by commissioners and trusts. Much to the irritation of those working at ground level in the hospitals and surgeries, the data that measures the quality of a hospital or other healthcare facility is often skewed. Rather than assessing exactly what takes place during a consultation, emphasis is placed on waiting times, length of stay, and readmission. Without context, this information is of little value – and yet, it is this information that decides how a healthcare establishment should be rated. It is these factors that contribute to negative public perception of the National Health Service, a perception that is largely driven by political motivations.

By using Natural Language Processing to provide clearer, more accurate data that is then automatically analysed to provide objective fact, there is no way out. The healthcare system can be assessed on a level, fair playing field, and budgeting and remedial measures can be enacted accordingly.

The NHS is already in dire straits. It is unquestionable that something needs to give. Experts are working frantically to mature NLP technology to offer a viable solution. The question, however, is whether it will be ready before the entire system is dismembered.

Link to Full Article: Read Here

The Call for Proposals is now open for Strata Data London

The O’Reilly Strata Data Conference in London is happening 21-24 May, 2018 and they’re looking for speakers to share their compelling data case studies, proven best practices, effective new analytic approaches, and exceptional skills with an audience of data scientists, analysts, and executives. Proposals will be considered for the following types of presentations:


    • 40-minute session


    • 3-hour tutorial


The deadline for submissions is 21 November.

Link to Full Article: Read Here

Artificial Intelligence: Redefining Healthcare Cybersecurity Practises

Artificial Intelligence: Redefining Healthcare Cybersecurity Practises

• AI will transform healthcare as we know it now. E.g. intelligent medical devices

• It also has the power to secure healthcare IT systems which are continually being attacked for patient/customer data

• Importance of risk management and being able to categorise risk of attacks in order to prioritise is key

• Security professionals require tools that help them react quickly to cyberattacks

• Reporting of cybersecurity at board level is now the norm

Cutting edge healthcare providers are using AI to improve the lives of patients, by deploying deep learning and machine learning to perform advanced medical functions. AI is being deployed to reduce the time and effort it takes to implement life-changing decisions. For example, IBM Watson launched a project called WatsonPaths to help physicians make more informed and accurate decisions faster and to cull new insights from electronic medical records (EMR). Actionable intelligence, driven by AI is helping people make healthier choices and decisions, as data is now far more accessible than ever before. The potential use cases for AI in healthcare are vast and we are going to see further adoption of the technology within the sector over coming months and years.

Similarly, AI is being used within cyber security to improve prevention, detection and cure of an ever-growing wave of cyberattacks. In cyber security, AI is being deployed in novel ways, such as; identifying anomalies in normal traffic patterns and proactively hunting potential threats that would ordinarily take years to process. Cyberlytic has joined the AI revolution to help make cyberspace a safer place to operate. Our software protects businesses by using AI to detect and triage attacks, allowing IT teams to resolve the most dangerous attacks first.

Cyberlytic’s web application security is particularly applicable to healthcare providers because of the data these organisations hold. Many health organisations have a public website which services citizens 24/7 and an online portal, making it imperative to secure the site and its personal data. This data is highly valuable to hackers and organised criminals, who will use sophisticated attacks to steal it. Our unique website and application security software uses AI to analyse huge volumes of data and instantly detects dangerous attack characteristics. Our analytics applies a patented approach to triage attacks and presents the organisation with actionable intelligence.

Contact us to arrange a free trial of our award-winning web application security (

Big Data Week Conference

The 2017 edition of Big Data Week Conference is fast approaching. Save the date: October 13th, and the place: etc. venues 155 Bishopsgate, right in the heart of London.

We’ve put together an extraordinary agenda, serving your big data and AI curiosity. Seasoned professionals from data-driven companies such as Uber, TransferWise, Financial Times, Thomson Reuters, First Utility, Microsoft, Exterion Media, and Transport for London will showcase innovative technologies and use cases, and will share their findings and expertise with our delegates, on October 13

Your Big Data Week ticket will give you full access to all sessions, lunch and coffee-breaks within a great networking area, and post-event access to slides and video recordings of the sessions.

You don’t want to miss this, and that’s why we’ve prepared a special offer. As a Informed AI group member, you can book your free ticket for the AI, Real-Time and IoT track using the AI_BDW code. Hurry up, we have a limited number of tickets available with this offer!

Link to Full Article: Read Here

Neuroinformatics view on neuron / brain basic activity

I would like to initiate a discussion on some topics, which I described in my book ( This is not a commercial message (a trial to accelerate selling of my book) – I just do not have better / simpler way to send you my book on cognitive / brain logic topic (mostly). The book is, in fact, the invitation to such a discussion:

I started to analyze the brain from the view 1 layer up of the hardware 🙂 (Layer 2 of the ISO OSI model of the network and up) i.e. on the basic cyber logic with consequences on “instruction level” of neurons (defining the “aminonics” approach / solution).

I proposed the theory of the evolution of species based on genetics which contradicts the Darwin’s theory (well, it moves the Darwin theory down to some 3% importance / effectivity in real life). The theory perfectly shows the mechanism of talent transfer from parents to childs based on genetics (I wonder if it was explained ever).

I proposed the proverbs as a form of differential equation to be basic way of neuronal activity. The instruction set of neuron could be aminoacid chemical reaction but on very low level of cyber operations – both input and output is information stored in atomic structure of the aminoacid. Data are coded on this level – not just on the level of 0s and 1s. Extremely fast processing – do you know how fast is a chemical reaction? Picoseconds? Fentoseconds? Attoseconds? Low power.

If you like my ideas, check it here: . I appreciate your comments. Thanks.

„Professor, I know that you are highly esteemed, but I really don’t envy that mess in your head“

Link to Full Article: Read Here

Please Support Neurons.AI – The Professional Network for AI Practitioners

Neurons.AI is part of the Informed.AI Group and is focused on supporting the AI community with both online and offline activities. Informed.AI,established 3 years ago, is the AI Knowledge & Community Platform that runs, Events.AI and the Global Achievement Awards for AI, Awards.AI.

Neurons started as a purely an online network, allowing members to build their own profiles with specific details of the areas within AI they are most interested in, plus members can create their own blog articles and share with the rest of the community as well as participating in the online forums too. We also provide a messaging capability allowing direct contact with other members too.

The Neurons platform has recently grown to include offline meet up groups for a number of different Cities around the globe. Just launched the Melbourne chapter in September, we have volunteer leaders for a number of other chapters which will be having their first meetings soon, including Los Angeles, San Francisco, Bangalore, Singapore and others.

We believe through this platform, bring people together with shared interests and knowledge helps to support each other and provide a rich environment in which we can all be successful. Our membership is diverse, from business professionals, startups, academics, students and researchers. We find value in such diversity and see opportunities coming from such mixed groups.

It couldn’t be easier to use Neurons.AI, simply login using one of your other social media logins, makes it simple and convenient to use time and again. Plus its now completely free for life for members who sign up now.

With such a fast paced industry we feel it is most important to provide a platform for sharing, and an opportunity for people to talk and exchange ideas. Help us build this into the best AI knowledge and community platform, by inviting your colleagues and friends, and sharing it on social media.

The Neurons platform is for its members, and mostly run by its members, and we are always looking for people to help run one of our chapters. If you would like to start a Chapter in your City please contact us and let us know. Visit the Chapters link at the top of your Neurons.AI homepage.

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Humane Humanoids vs. Mercantile Homo Sapiens 

The fear of intelligent machines draws analogies with luddites’ rejection of 19th century industrial methods, increasing production at the cost of human labour, and 21st century concerns over foreigners taking jobs.

The 4th Industrial Revolution’s intelligent technologies will execute many jobs we humans do, but much better, in all sorts of industries including financial, legal, education and transportation. Machines will observe the results of their behaviour, modify their own programmes “so as to achieve some purpose more effectively” (Turing, 1950, p.449). Such intelligent machines are not the biggest existential risk to our species. The mercantile human is and has been throughout history.

The human species is a mercantile breed for whom trade has eclipsed benevolence over the centuries. Past great empires were enriched on the backs of human slaves (Frankopan, 2016). Vegetarian Leonardo Da Vinci’s ingenuity included military designs that could throw inflammable materials causing serious injury to enemies of the 15th century Milanese (White, 2001).

Humanity’s penchant for personal pleasure through cruelty to others is viscerally captured in the new TV series Westworld (2016). It depicts a future game world in which wealthy guests, the outsiders are hosted by humanoids on whom the vilest acts can be perpetrated through depraved scenarios designed by the narrative department at the adventure park. Human visitors act out their desires inflicting pain, after which each robot’s memories are wiped to erase the suffering in a session: “these violent delights lead to violent ends” (Shakespeare, quoted in Westworld, 2016). We need only open a newspaper on any given day and learn what horrors we humans wreak on each other.

Nonetheless, “limitations of the human intellect” (Turing, 1950, p.445) require us to develop smart machines. Guidelines on future and emerging technologies (Palmerini et al., 2014), applied by multidisciplinary teams learning from and reducing mistakes of the “sufficiently elaborate” machines (Turing, 1951, p. 473; Shah, 2013), even if they do “outstrip our feeble powers” could ensure they do not “take control” (p. 475). Advances in intelligent technologies, through following instruction and learning from experience, will produce driverless vehicles reducing road casualties, enhance student engagement through deployment of bots in pedagogy, medics diagnosing accurately and sooner, surgical operations increasingly error-free, deep learning programmes improving performance for our savings and investments, conversational humanoids attending the elderly and the unwell for dignified living, sophisticated programmes helping us to harness nature and prevent damage from weather-related disasters, and all seeing machines (Person of Interest, 2015), monitoring to protect our privacy and secure us from cybercriminals. Why would we not want this future?

Anxiety over future machines intent on malfeasant behaviour is valid, but so is the dread of the Homo sapiens who have put aside humane actions to ensure competitive trade advantages for their own particular group. Cooperative interdisciplinary human teams constructing social, cultural, ethical, moral and legally-binding technologies could lead to equitable sharing of the planet’s natural resources. Artificial Intelligence does not have to be a threat to humankind, it can help us to preserve our species for longer.



Frankopan, P. 2016. The Silk Roads: A New History of the World. Bloomsbury Paperback, London UK.

Palmerini, E., Azzarri, F., Battaglia, F., Bertolini, A., Carnevale, A., Carpaneto, J., Cavallo, F., Di Carlo, A., Cempini, M., Controzzi, M., Koops, B.J., Lucivero, F., Mukerji N., Nocco, L., Pirni, A., Shah, H., Salvini, P., Schellekens, M. and Warwick, K. 2014. Guidelines on Regulating Robotics. Deliverable D6.2 EU FP7 RoboLaw project: Regulating Emerging Robotic Technologies in Europe-Robotics Facing Law and Ethics, SSSA-Pisa. Report accessible from

Person of Interest (2015).

Shah, H. 2013. Conversation, deception and intelligence: Turing’s question-answer game. Chapter in Cooper, S.B. and van Leeuwen J. (Eds), Alan Turing: His Work and Impact, pp. 614-620. Elsevier.

Turing, A.M. 1951. Intelligent Machinery, A Heretical Theory. In Copeland, B.J. (Ed). The Essential Turing: The ideas that gave birth to the computer age. Oxford University Press, UK

Turing, A.M. 1950. Computing Machinery and Intelligence. Mind, Vol 59(236), 433-460

Westworld. 2016. HBO:

White, M. 2001. Leonardo Da Vinci: The First Scientist. Abacus paperback edition, London, UK.


Huma Shah is an AI Research Scientist and Senior Lecturer in the School of Computing, Electronics and Mathematics at Coventry University. She has a PhD in ‘Deception-detection and machine intelligence in practical Turing tests’ earned from Reading University. She has designed and conducted original experiments based on the ideas of 20th century mathematician/codebreaker Alan Turing to explore the intellectual capacity of machines through question-answer interviews. She has over 30 peer-reviewed articles in fundamental machine intelligence published in journals and presented at international conferences. Huma has co-organised two Loebner Prizes for Artificial Intelligence (2006 at UCL-UK; 2008 at Reading University-UK). She organised and chaired a ½ day public workshop on the ‘Benefits of Artificial Intelligence’ in July 2016. Huma collaborated on the EU FP7 funded RoboLaw project: Regulating Emerging Robotic Technologies in Europe: Robotics Facing Law and Ethics. The project’s dissemination included a final report, Guidelines on Regulating Robotics ( Huma feels deep learning machines could assist humans with the biggest challenges facing the Homo sapiens. Widening the stakeholder group to ensure ethical, legal, moral and social issues are embedded in intelligent machines could ensure we don’t sleep-walk into a world of smart technologies enslaving or annihilating humanity.

Link to Full Article: Read Here

First Melbourne Meetup – 27th Sept.

Join Dr Andy Pardoe at the Neurons.AI Melbourne Chapter Meetup.

We are pleased to announce that the founder of Informed.AI will be joining the Melbourne Chapters first event held at the Honey Bar on the 27th September.

Speaking at the AI in the Enterprise Summit and the RPA Melbourne 2017 Conference, Dr Andy Pardoe is a regular international speaker on AI topics, and will be hosting the networking event on Wednesday 27th September at the Honey Bar 6pm to 9pm.

Come and chat with Andy and learn more about what is happening with AI and Machine Learning in London, UK.

For more details, check out Chapters.Neurons.AI or RSVP directly at the Meetup Group 

Link to Full Article: Read Here

What Watson and Einstein Mean for B2B Sales Teams

What Watson and Einstein Mean for B2B Sales Teams

What Watson and Einstein Mean for B2B Sales Teams

The introduction of AI-based capabilities into CRM systems such as IBM Watson and Salesforce Einstein is set to dramatically increase the effectiveness of B2B sales and marketing teams.

Machines are rising; and, therein lies an opportunity for sales leaders.

In March this year, Salesforce and IBM announced a deal that would integrate Salesforce Einstein with IBM Watson, a form of AI geared toward understanding unstructured information such as human language as opposed to computer language. For Marc Benioff, Salesforce’s CEO, the partnership caps a series of high profile acquisitions in the AI and workplace productivity spaces. His counterpart, IBM CEO Ginni Rometty, announced IBM was strategically investing in Bluewolf through a new practice to help clients deploy the combined IBM Watson and Salesforce Einstein solution.

AI for Everything versus AI for Everyone

While the depth and scope of IBM Watson’s capabilities have been described as “AI for everything”, Salesforce Einstein has been positioning itself as “Artificial Intelligence for everyone”. Within a year of its launch, the adoption of Salesforce Einstein has grown at a staggering pace and AI usage is increasing rapidly, in part thanks to its strategic collaboration with IBM. A study conducted by IDC suggests that over 80% of B2B sales teams are currently considering using artificial intelligence to improve the way they score leads and opportunities while 87% are looking at AI to enhance their reporting and forecasting. Einstein and Watson, though very different in their core functionalities, can act as a pair of virtual data scientists that connect to transform customer engagement across marketing, sales and customer service.

Currently a number of enterprises deploying AI in their sales and marketing processes are often placing “account-based everything” at the core of their automation. As CRM platforms incorporate AI into their automation capabilities, sales teams should expect their lead-to-revenue management tools to gain more teeth.

For example, the Einstein High Velocity Sales Cloud is frequently used by B2B sales teams to automate the capture of activity data or score leads. Einstein Analytics helps businesses make more informed decisions on campaign performance.  And this appears to be only the beginning. “AI is the next platform,” claimed Salesforce CEO Marc Benioff. “All future applications, all future capabilities for all companies will be built on AI.”

But IBM and Salesforce are not the only ones surfing the AI wave. An entire new generation of data-driven sales and marketing software vendors are leveraging AI to change the way businesses operate.

AI Assistants to Streamline Sales

Sales managers may choose from a variety of AI tools to improve or expedite their sales, from gatherings the latest news on a prospect, or detecting an event that may impact the course of a deal.

Toronto-based Nudge leverages machine learning to source news and social updates on both the individual and account-level decision makers by filtering data from across the web. This in turn helps sales reps have more informed conversations with their prospects and relate more effectively to a customer’s specific context.

Other AI assistants have made a niche for themselves by simplifying the tedious process of updating a CRM or facilitating sales training and coaching. for instance allows sales managers to record their teams sales calls. Moreover, San Mateo-based helps teams manage their time more effectively by applying natural language processing to emails, meetings and calls.

AI for Sales Leaders

Beyond automating workflows, simplifying tasks or recording activities, one, if not the most promising aspects of new AI platforms like Einstein and Watson are the way the allow sales leaders to leverage the predictive and prescriptive capabilities of AI. Sales leaders can derive valuable action-based insights on anything from resource allocation to compensation management and budget planning. For example Cien – a sales productivity app that complements Salesforce Einstein – goes beyond automating the capture of activity data or scoring leads. The app, which looks and behaves more like a fitness tracker for sales teams rather than a traditional business analytics tool, can calculate the optimal balance between inside and outside sales reps or measure the intangible, human factors that impact sales, feeding teams with personalized suggestions and actions that help a team achieve its goals.  

Beyond the Scope of Human Intelligence

As  Ray Wang, Principal Analyst and Founder of Constellation Research, points out, AI and machine learning demonstrate “the most potential in not only democratizing decisions, but also augmenting sales teams with actionable insight.” 

And whether it’s through platforms like Einstein and Watson or standalone apps like Nudge or Cien,  AI is poised to dramatically increase the effectiveness of B2B sales and marketing teams by going beyond the scope of human intelligence.

Neurons.AI (Australia – Melbourne) – First Event

Join Dr Andy Pardoe at the Neurons.AI Melbourne Chapter Meetup.

We are pleased to announce that the founder of Informed.AI will be joining the Melbourne Chapters first event held at the Honey Bar on the 27th September.

Speaking at the AI in the Enterprise Summit and the RPA Melbourne 2017 Conference, Dr Andy Pardoe is a regular international speaker on AI topics, and will be hosting the networking event on Wednesday 27th September at the Honey Bar 6pm to 9pm.

Come and chat with Andy and learn more about what is happening with AI and Machine Learning in London, UK.

For more details, check out Chapters.Neurons.AI or RSVP directly at the Meetup Group 


Link to Full Article: Read Here

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