The idea that humans are on the verge of developing an artificial intelligence whose abilities far outstrip our own is ridiculous, said Chris Bishop, Microsoft's director of research at Cambridge, highlighting the many limitations of AI systems today. "This is a good moment for a little reality check," he told a public discussion hosted by The Royal Society in London this week. While recent breakthroughs in machine learning have allowed computers to become as adept as the average person at recognising faces and objects and to make huge strides in areas such as voice recognition, Bishop cautioned against assuming that machines are outstripping human performance across the board. "Yes, deep learning has achieved human-level performance in object recognition but what does that mean? It means the machine makes about the same number of errors as the human. "The reason the machine is as good as the human at this is because it can distinguish between 157 varieties of mushroom, whereas it makes all kinds of stupid mistakes that humans wouldn't make." Even some of the most celebrated examples of machine intelligence, such as a Google DeepMind system beating a world champion in the notoriously complex game of Go, need to be understood in context of the time and effort that went into building the system, he said. In 2015, GE inaugurated a new, Multi-Modal manufacturing facility in Chakan, India. If the company's ambitions for the space are realized, it could drive a massive change in global manufacturing. "[Take] the Go example, where the machine has just about crept ahead of the best human.

GWEN IFILL: Now we continue our series about artificial intelligence, A.I., where computers are able to make intelligent decisions without human input. As computing power gets stronger and people continue to generate massive amounts of data, A.I. is making its way into the marketplace and into your doctor's examination room. Hari Sreenivasan has the latest in series on breakthroughs in invention and innovation. HARI SREENIVASAN: Advances in artificial intelligence continue to push the boundaries between science fiction and reality, like this brain-controlled device at the University of Minnesota. It enables users to fly a model helicopter with only their thoughts.

Saqib Shaikh is a software developer from London, England who is currently working for Microsoft on the firm's Bing search engine. Shaikh lost his sight when he was seven years old. Microsoft Corporation (MSFT) has strived to be a leader in the artificial intelligence arena, developing advanced AI theories and applications that permit machines to learn, evolve and make independent decisions. Microsoft's AI research team is building … Microsoft certainly hasn't been scared off doing further experiments with artificial intelligence after the whole racist bot debacle. The tech firm is back with an AI powered API that can identify (or at least try) what's in a picture.

"It is our endeavor to create great value for every business through solutions built on our artificial intelligence technology and open, cloud platforms, to have Infoscions amplified by intelligent technology, to bring purposeful innovation to life, and in that sense, we are still very much at the beginning of this journey," he added.

This panel gives attendees an opportunity to see and hear how Intelligent Assistants evolve into resources – ranging from personal avatars to robots – that use natural language understanding and machine learning to improve aspects of our daily lives. Speakers: Shawn Edmunds, VP, North America, ValidSoft Alex Lebrun, Co-Founder, Wit.ai, Facebook Wally Brill, Principal Consultant, 21contact Doc Searls, Author, "The Intention Economy: When Customers Take Charge" From Intelligent Assistants Conference 2015 (Oct.

But on the whole it's pretty damn impressive and when it does go wrong you can kind of see how it got confused. The tool joins a growing suite of apps created by Microsoft's research team, that can do things like guess your age or emotion from a single photograph.

What are we trying to predict? How are we measuring if we are getting it right? Which departments are a part of this Data Science project? Who is my internal customer? When does this have to be completed?

We've long been fascinated with the idea of smart robots that serve human society. Think about Isaac Asimov's "I, Robot" short stories, Robby in the film "Forbidden Plant," and R2D2 or BB8 in "Star Wars." In these works, robots have some significant advantages over people. They are highly intelligent without being ruled by emotions. They act according to logical if-then processes.

DigitalGenius is announcing its Human AI customer service platform today, along with a 4.1 million seed investment. The work is to augment the process, while still keeping the human element decidedly at the center of things. It's interesting to note that Salesforce was part of the deal, as that could conceivably help the startup scale quickly in this space, thanks to Salesforce's massive distribution network and its suite of automation products ripe for AI. I talked to DigitalGenius chief strategy officer Mikhail Naumov to clarify what AI is and isn't. "It's important to decipher between Hollywood AI and practical AI you can use today," he said.

I like to pick roses on a summer's day and meeting friends. I dearly wish for world peace. I hope to work with children, just as soon as I have completed my doctorate in astrophysics. Not really, but I am in training. I am about to enter a beauty contest.