The bot was designed to learn by talking with real people on Twitter and the messaging apps Kik and GroupMe. And, after less than a day on Twitter, the bot had itself started spouting racist, sexist, anti-Semitic comments. "Tay" went from "humans are super cool" to full nazi in 24 hrs and I'm not at all concerned about the future of AI pic.twitter.com/xuGi1u9S1A Now, you might wonder why Microsoft would unleash a bot upon the world that was so unhinged. The AI chatbot Tay is a machine learning project, designed for human engagement.

The bot was designed to learn by talking with real people on Twitter and the messaging apps Kik and GroupMe. But the well-intentioned experiment quickly descended into chaos, racial epithets, and Nazi rhetoric. Tay started out by asserting that "humans are super cool." But the humans it encountered really weren't so cool. And, after less than a day on Twitter, the bot had itself started spouting racist, sexist, anti-Semitic comments.

Alena Dzenisenka is a young researcher in the field of theoretical mathematical abstractions and innovative algorithmic models possible in modern programming concepts. She is a member of F# Software Foundation Board of Trustees. Alena currently works as a Software Architect and has more than 10 years of professional experience including complex distributed systems and cloud computing. Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community.

Tay, the Microsoft Twitter chatbot who was discontinued after she began spouting bigotry, came back to life in the early hours of Wednesday morning -- albeit as a private account. She appears to be making up for lost time, posting dozens of largely nonsensical tweets in a matter of minutes. Her return to sentience comes five days after Microsoft senior executive Peter Lee issued a statement saying Tay would be taken offline, and apologized for her behavior. What had happened was this: Microsoft launched a chatbot to learn communication skills from Internet users (specifically, millennials), but within hours, trolls had exploited the interface to refashion Tay as a white-supremacist mouthpiece. She ventured that the Holocaust was a fiction, blamed 9/11 on President George W. Bush, and described the sitting President as a "monkey."

What next for Google's DeepMind, now that the company has mastered the ancient board game of Go, beating the Korean champion Lee Se-Dol 4–1 this month? A paper from two UCL researchers suggests one future project: playing poker. And unlike Go, victory in that field could probably fund itself – at least until humans stopped playing against the robot. The paper's authors are Johannes Heinrich, a research student at UCL, and David Silver, a UCL lecturer who is working at DeepMind. Silver, who was AlphaGo's main programmer, has been called the "unsung hero at Google DeepMind", although this paper relates to his work at UCL.

My client, a design-led consultancy based at their Centre for Innovation, will research, incubate and pilot new and emerging digital technologies. You will be building the future in real time, partnering with blue-chip clients at the forefront of various industries. The successful Data Scientists (Big Data, Machine Learning, Artificial Intelligence) will be operating across all stages of the innovation spectrum; the working environment will be open and interactive. Despite being a globally established management consultancy my client has a real start-up feel, allowing their consultants to thrive in culture full of creativity and experimentation.

At Numenta, we are tackling one of the most important scientific challenges of all time: reverse engineering the neocortex. We apply our discoveries to one of the most important technology challenges of all time: creating intelligent machines. We believe that understanding how the neocortex works is the fastest path to machine intelligence, and creating intelligent machines is important for the continued success of humankind. Unlike most other machine learning methods, HTM learns time-based patterns in data on a continuous basis.

At Numenta, we are tackling one of the most important scientific challenges of all time: reverse engineering the neocortex. Studying how the brain works helps us understand the principles of intelligence. We apply our discoveries to one of the most important technology challenges of all time: creating intelligent machines. We believe that understanding how the neocortex works is the fastest path to machine intelligence, and creating intelligent machines is important for the continued success of humankind. Based on a wealth of neuroscience evidence we have created a technology called HTM (Hierarchical Temporal Memory) that models key aspects of neocortical learning.

One of the most important tasks in Machine Learning are the Classification tasks (a.k.a. Classification is used to make an accurate prediction of the class of entries in the test set (a dataset of which the entries have not been labelled yet) with the model which was constructed from a training set. You could think of classifying crime in the field of Pre-Policing, classifying patients in the Health sector, classifying houses in the Real-Estate sector. Another field in which classification is big, is Natural Lanuage Processing (NLP). This is the field of science with the goal to makes machines (computers) understand (written) human language.

Bernard Moon is a co-founder and general partner at SparkLabs Global Ventures. Our team has been active as investors in the Internet of Things and hardware space over the past two years. We have read pitches from hundreds of companies, met with dozens, read hundreds of research reports and spoken with various experts. We have invested in six IoT/hardware companies from our global seed fund and seven from our startup accelerator. With this accumulated knowledge, we decided to create an easy to read overview for others to get up to speed on this trending space of IoT.