Low-cost VR headsets could be the key to teaching industrial robots how to do more complex jobs in a shorter amount of time says Pieter Abbeel, president and co-founder of the startup Embodied Intelligence. Abbeel has the track record to back up those claims—the roboticist and UC Berkeley professor left the Elon Musk-backed research company OpenAI to start the venture, along with colleagues from Berkeley and the Musk lab.
Through the AI-based software the company is developing, industrial robot arms would learn to imitate motions that humans make while wearing a VR headset and controllers. If you want a robot to snake wiring through a car door, do the motion in VR, and the robot will attempt it in real life.
In response to the manifold problems related to cybersecurity and online crime, many companies are turning to artificial intelligence to pick up the slack. Ian Roncoroni (Next Caller) asks: are robocops ready for the job? He takes the reader through the cutting edge techniques that are being used and the problems they face, such as readying AI for first contact and preventing false positives.
While it’s possible that in the near future cybersecurity forces will consist mostly of bots, today humans remain critical in the fight against fraud and the pursuit of great customer experiences. Only we can recognise the “why” behind cybersecurity, define key metrics to monitor faults in our algorithms, and make game-time decisions on fringe-case false positives that don’t fit our AI models.
Research presented at the American Heart Association meeting in Anaheim Monday claims that, when paired with the right machine-learning algorithms, the Apple Watch’s heart-rate sensor and step counter can make a fair prediction of whether a person has high blood pressure or sleep apnea, in which breathing stops and starts repeatedly through the night. Both are common—and commonly undiagnosed—conditions associated with life-threatening problems, including stroke and heart attack.
The new study adds to evidence that the right algorithms might transform the Apple Watch from personal trainer to personal physician. Apple said in September that it is working on a study with Stanford that will test whether the gadget can detect atrial fibrillation, or irregular heartbeat, which can lead to stroke or heart failure.
Earlier this year, they open-sourced a research project called AirSim, a high-fidelity system for testing the safety of artificial intelligence systems. AirSim provides realistic environments, vehicle dynamics and sensing for research into how autonomous vehicles that use AI that can operate safely in the open world.
Yesterday, they shared an update to AirSim: They have extended the system to include car simulation, which will help advance the research and development of self-driving vehicles. The latest version is available now on GitHub as an open-source, cross-platform offering.
Bytedance, an AI-enhanced content platform, is acquiring Musical.ly, maker of a social music app, in a deal that has been estimated at more than $800 million.
“Upon closing of the transaction, Musical.ly will continue to operate as an independent platform, integrating Bytedance’s global leading AI technology and leveraging its reach in China and key markets across Asia to enhance Musical.ly’s offering to users, creators, and partners,” the acquirer said.
The new SpotMini looks much more polished and less grotesque. The new bot’s movement also looks incredibly fluid. It shows just how much progress Boston Dynamics is making on its goal of life-like, animal-inspired robots that can move and respond to the forces in the real world.
Andrej Karpathy (Director of AI, Tesla) sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you can use them to win Kaggle competitions. He argues that this interpretation completely misses the forest for the tree. Instead, neural networks are not just another classifier, “they represent the beginning of
a fundamental shift in how we write software. They are Software 2.0.”
Why should we prefer to port complex programs into Software 2.0? Clearly, one easy answer is that they work better in practice. However, there are a lot of other convenient reasons to prefer this stack, such as computational homogeneity, simple to bake into silicon, it is highly portable, and more.
I’m looking forward to moderating the vendor showcases and presenting hot vendors to leading professional services executives. I’ll also be chairing the morning AI Education Session with PWC and Thomson Reuters. At the UK’s largest AI event for professional services firms event, you’ll be able to connect with 350+ Professional Service firms to discuss how AI is impacting their businesses. They will share use cases and education on which AI tools are working and what’s not!
Calling all AI startups: We have secured a discounted rate for AI Startups, who are able to take advantage of an exhibition package priced at £249. To register to make an exhibition booking, please contact Steve.Parrott@alternativeevents.co.uk.