In April 2016, Uber announced the acquisition of Otto, a San Francisco-based startup that has developed a kit that can turn any big rig into a self-driving truck. The Otto technology enables complete autonomy on highways: trucks can navigate, stay in their lane, and slow or stop in response to traffic conditions completely without human intervention. Otto's equipment currently costs about $30,000, but that is certain to fall significantly in the coming years. Otto is by no means alone. Massive automated vehicles are already commonly used to move materials for the Australian mining industry.

In the past, you needed specialized talent to put machine learning into action: "Quants" who are educated in the language and methods and "translators" who could bridge the disciplines of data, machine learning, and decision making to reframe complex results into executable insights. Now modern business applications take on the roles of data scientists. They feature user-friendly interfaces and integrated AI technology that let business users reap the rewards of machine learning – without extensive training, and often with the push of a few buttons.

There's been a lot of chatter in banking circles lately about chatbots. Of course, as with most things in nascent technology, that chatter is a bit divided on whether chatbots are ready for primetime. Barclays, Societe Generale, USAA, BBVA, and Capital One have begun actively experimenting with them. Bank of America has said it will roll out a chatbot named "erica" this year. As she demoed erica at Money 2020 this year, Michelle Moore, the bank's head of digital banking, said it will be "the trusted adviser to our 45 million households."

Lab A: Virtual, augmented & mixed reality Monday 15 – Friday 19 May 2017 Cambridge Junction, Cambridge UK - This lab will take a practical and theoretical approach, framed within a peer-to-peer environment. There will be taught sessions covering Unity software, HTC Vive, HoloLens, 360 video, use of sound and project workflow. This will be balanced with theoretical talks on virtual, augmented and mixed reality by artists and our industry partners. Lab B: Artificial intelligence Monday 12 – Friday 16 June 2017 Leverhulme Centre for the Future of Intelligence (University of Cambridge), Cambridge UK - Working with our partners, this lab will create a critical context for exploring AI from all perspectives, including the neighbouring areas of data culture and internet of things. There will be a mixture of taught sessions on how AI works, along with an AI'jungle' of devices such as Alexa, Siri, Cortana and WolframAlpha.

Reddit has tweaked its front page to show more different posts – and exclude those from political forums. New users to the site and those who aren't logged in will be treated to a range of different posts than before, after the site made a tweak to what it will show. The change appears to be a response to the site's growing popularity – and fears that same popularity might be warping the kind of things that get shared and seen on the internet. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Graduate degree (MS or PhD) in Computer Science, Mathematics, or related quantitative field, with specialization in speech recognition, natural language processing, or machine learning. Graduate degree (MS or PhD) in Computer Science, Mathematics, or related quantitative field, with specialization in speech recognition, natural language processing, or machine learning.

IBM is bringing machine learning to its flagship mainframes. The company said Wednesday that IBM Machine Learning, a platform for training models and ingesting data, will be available on its z Systems portfolio via its z/OS. The next wave of IT innovation will be powered by artificial intelligence and machine learning. We look at the ways companies can take advantage of it and how to get started. IBM's take is that mainframes hold much of the enterprise data globally so bringing machine learning to transactions makes sense.

I want to talk to you today about the concerns of Non-Equilibrium Information Dynamics and how an understanding of its features lead us to a better intuition about Deep Learning systems or learning systems in general. Allow me to recap my observation from a previous post on "Deep Learning in Non-Equilibrium Dynamics". In our study of Deep Learning, practitioners derive their intuition from the mathematics of physical systems. However, since these are not a physical system that we study but rather information systems, we apply information-theoretic principles. Now, information theory has its origins also in mathematics that describe physics (i.e.

Sounds like a self-help group for frustrated call center employees. Rather, it's a catch-all term for how companies manage customer interactions and data. It covers strategies involving everything from customer service to sales. Each incoming phone call or email may contain an overwhelming amount of data that a mere human in today's hyper-competitive, tech-intensive environment can't handle alone. Time to bring in some help with artificial intelligence.

Since the early 2000s, the cost of sequencing a human genome -- determining the precise order of nucleotides within DNA molecules that defines who we are -- has dropped sharply. A genome that cost $100m to sequence in 2001 can today be sequenced for roughly $1,000. This plummeting cost, along with the shortened timescales for sequencing DNA, has led to a revolution in biotechnology: gene hacking, or the ability to turn genes on and off, and to manipulate biology to our advantage. The most radical branch of this new technology is "gene editing" -- a process by which our DNA code can be cut and pasted using molecular "scissors" for a variety of applications, including curing diseases such as cancers and HIV. Until recently, swapping the code was an arduous process.