MIT researchers have presented the Eyeriss chips that have 10 times more power than mobile GPUs and use deep learning for local AI functions.
Category: robotics/AI – Page 2,825
Don’t trust this lipstick-applying robot with your face
We can safely say that the position as a make up artist is safe from AI for now.
A mini factory-style robot arm tries its mechanical hand at applying makeup. The results aren’t pretty.
New Microchip Could Increase Military Intelligence Powers
More news on DARPA’s new deep learning microchip for the military.
A military-funded breakthrough in microchips opens the door to portable deep learning.
Investment platforms must get back in the game
Good article and perspective. And, I believe areas like Finance and Legal will be addressed over the next 5 to 7 years with AI. However, much of our critical needs are in healthcare particularly medical technology and Infrastructure (including security); and these need to get upgraded and improved now.
I recently read a thought provoking article by Klaus Schwab, called ‘The Fourth Industrial Revolution: what it means, how to respond’. At the beginning of the article Schwab describes the first three industrial revolutions, which I think we’re all fairly familiar with:
1784 – steam, water and mechanical production equipment.
Your only choice is to build better artificial intelligence tech than others: Brad Templeton
Brand’s view and concerns about hacking driverless cars are valid. And, I do believe in time that government will eventually catch up in passing some laws that will make companies ensure that their technology is safe for consumer usage and are safe for the public. I just hope that the pendulum does swing too far to the other side of over regulation.
It is not easy to slot Brad Templeton. What do you make of a person who is not only the networks and computing chair at Singularity University in Silicon Valley but also a software architect, a director of the Foresight Nanotech Institute, board member of the cyberspace watchdog Electronic Frontier Foundation, the first person to have set up an Internet-based business, a futurist lecturer, hobby photographer, artist, as well as a consultant on Google’s driverless car design team?
In a phone interview from the US, Templeton, who will be in India this month as a key speaker during the SingularityU India Summit (to be held in association with INK, which hosts events like INKtalks—a platform for the exchange of cutting-edge ideas and inspiring stories), shared his views on driverless cars, the perceived threat from intelligent machines and censorship of the Internet. Edited excerpts:
Driverless cars are not hacker-proof and may find it difficult to navigate chaotic traffic. How are we addressing such issues?
It’s absolutely true that people are concerned about security of these cars, but it is wrong to presume that people in the media learnt about this before those who built the driverless car. The people who built the car are working to make the car secure. They won’t be able to do it perfectly, but they are going to get there. The Google team certainly has the most miles to its credit. Right now over 2 million km in automatic mode, driving around mostly in California. The chaotic driving in India is slower than some of the roads in Europe or North America. And it is actually easier to do slower and chaotic driving than faster. You get more time to stop, perceive the situation and make accurate moves. The real challenge is that in many chaotic driving situations, there are unwritten rules so you have to figure out how to sort of, play a game with the other cars. It may mean that some of the more chaotic places may have to clean up their act a bit if they want to have a technology like this.
Why should you run IT as a business?
Interesting article, and one thing that I have thoroughly enjoyed over the years is helping companies developed new products and services through innovation, or changing their IT organization into real profit centers like this article highlights. And, as part of these types of transformations it has always been key to change/ reinforce the culture’s mindset that business owns the definition of the strategies and solutions.
However, as AI becomes more and more prevelant across businesses; we could eventually see that IT ends up owning the definition as well as the enablement of the solutions for the company/ business. So, it is almost like we come full circle through AI after all. And, this is just one of many business/ corporate cultural questions that we will need to address with AI in the coming years.
There are many reasons to run IT as a well functioning business instead of the traditional cost center model. Below are the top 5 consequences of continuing to run IT in the traditional manner.
Wasted Resources
Running IT as a cost center actually can result in waste of precious company resources. Both money and time can be used more effectively if the department is run in a more business like manner. Money is wasted through duplication of efforts, maintaining systems that should be replaced, failed projects, and systems and data centers that do not meet the business needs. The most precious resource of time is wasted in both IT departments and throughout the company. Poorly run projects that run over time or do not provide full value impact everyone. Business departments also spend time working around IT instead of with it resulting in wasted time. Running IT as a business helps ensure that time and money are used in the most effective manner to help the business meet it objectives.
Watson for President 2016
The Watson 2016 Foundation is an independent organization formed for the advocacy of the artificial intelligence known as Watson to run for President of The United States of America.
It’s time to elect the first artificial intelligence into office.
Why US tech giants are buying British AI start-ups
I will admit there is some great VR and AI talent in the UK.
U.S. giants such as Apple and Microsoft are flocking to the U.K. to buy artificial intelligence (AI) start-ups as Britain establishes itself as the go-to place for the technology.
Microsoft announced that it had acquired London-based Swiftkey, an AI start-up that makes a predictive keyboard for smartphones, on Wednesday for $250 million, sources close to the deal told CNBC.
“We are looking for interesting tech. It is not new news that London is the most advanced start-up ecosystem in Europe,” a Microsoft insider who wished to remain anonymous because they were not authorised to speak publicly about the deal, told CNBC on Thursday.
Next generation of machine learning rockstars will trade Google and Facebook for top secret hedge funds
Nice — Bridgewaters engaged. Actually, not too surprised by this.
IBTimes UK spoke to AI finance startup Walnut Algorithms about machine learning and the financial sector.