Interesting stuff of AI, Machine learning, and Deep Learning 2017–10#1
A List of Chip/IP for Deep Learning (keep updating)
1. AI hype has peaked so what’s next?
2017 has been the year of AI, reaching a fever pitch of VC and corporate investment. But, as with any hot technology, AI is outgrowing this phase of experimentation and hype. According to research firm Gartner, we’re past the “peak of inflated expectations.” Next up is a necessary recalibration of the space — one that will separate the winning AI-driven companies from all the noise.
2. Robots could destabilise world through war and unemployment, says UN
The UN has warned that robots could destabilise the world ahead of the opening of a headquarters in The Hague to monitor developments in artificial intelligence. From the risk of mass unemployment to the deployment of autonomous robotics by criminal organisations or rogue states, the new Centre for Artificial Intelligence and Robotics has been set the goal of second-guessing the possible threats.
3. Is AI Riding a One-Trick Pony?
Just about every AI advance you’ve heard of depends on a breakthrough that’s three decades old. Keeping up the pace of progress will require confronting AI’s serious limitations.
4. What It Will Take for Quantum Computers to Turbocharge Machine Learning
Quantum computers could give the machine learning algorithms at the heart of modern artificial intelligence a dramatic speed up, but how far off are we? An international group of researchers has outlined the barriers that still need to be overcome.
5. How Close Is Turing’s Dream of Conversational Machines?
When Alan Turing, the father of modern computing, racked his considerable brains for a test that would truly indicate that a computer program was intelligent, he landed on this area. If a computer could convince a panel of human judges that they were talking to a human — if it could hold a convincing conversation — then it would indicate that artificial intelligence had advanced to the point where it was indistinguishable from human intelligence.
6. Intel’s New Self-Learning Chip Promises to Accelerate Artificial Intelligence
As part of an effort within Intel Labs, Intel has developed a first-of-its-kind self-learning neuromorphic chip — codenamed Loihi — that mimics how the brain functions by learning to operate based on various modes of feedback from the environment. This extremely energy-efficient chip, which uses the data to learn and make inferences, gets smarter over time and does not need to be trained in the traditional way. It takes a novel approach to computing via asynchronous spiking.
7. We’re Waiting for the Peter Drucker of Machine Intelligence
AI will change everything, yeah yeah. We’ve heard it, and it’s so true we no longer hear it. Here’s the next big one: how leaders lead companies.
8. Announcing tools for the AI-driven digital transformation
Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Today, at Microsoft Ignite 2017, as we engage in conversations about digital transformation with over 25,000 customers and partners, I am pleased to share some of our latest and most exciting innovations in AI development platforms.
These announcements — which span Azure Machine Learning (AML), new Visual Studio tools for AI, Cognitive Servicesand new enterprise AI solutions — demonstrate our mission to bring AI to every developer and every organization on the planet, and to help businesses augment human ingenuity in unique and differentiated ways.
9. Facebook’s New ‘AI Camera’ Team Wants to Add a Layer to the World
With 2 billion users, Facebook has reorganized the teams responsible for coding the camera software in Instagram, Facebook, and Messenger into a new unit it calls “AI Camera.” The group started last year with a single person. Now, it has grown to 60 people. That includes Rick Szeliski and Michael Cohen who worked on Photosynth (among other things) at Microsoft. The AI Camera team also can draw on the expertise of top neural-network researchers like Yann LeCun and Yangqing Jia in other parts of the company.
10. Amazon is working on smart glasses to house Alexa AI, says FT
Amazon is working on building a pair of smart glasses to house its Alexa voice assistant, and a home security camera that could be linked to its existing Echo connected devices to further expand their capabilities, according to a report in the FT citing people familiar with the company’s plans.
