Country
Elon Musk: 'Likelihood is we're all dwelling in a simulation'True Viral News
Elon Musk wears many hats. He's additionally outspoken concerning the risks of AI analysis, the necessity for blue-sky pondering in expertise, and his need to colonise one other planet. So it's no shock that over the course of an interview at California's Code convention, Musk revealed a variety of issues we didn't know earlier than. Musk isn't any stranger to the work of thinker Nick Bostrom, who has warned earlier than that superintelligent AI would possibly wipe out humanity. Musk cited that concern as a purpose for investing in AI firm DeepMind, earlier than it was purchased by Google. However now he's launched the world to a different idea popularised by Bostrum: the simulation drawback.
Groups, Hospitals Enlist AI for Radiology
Radiologists may not think about video game components helping them do their work. But graphic processing units (GPU), the computing power behind video games, have been in radiology equipment for years. "You'd be hard pressed to find diagnostic instruments like CT, MRI, and ultrasound, that don't have GPU embedded in them for real time reconstruction," said Kimberly Powell, senior director of industry business development at the technology company NVIDIA. Now GPU processing technology is being applied to deep learning, also known as machine learning and artificial intelligence. Computer algorithms able to detect an intracranial hemorrhage?
We are living in a computer simulation, Elon Musk says
Elon Musk has said that there is only a "one in billions" chance that we're not living in a computer simulation. Our lives are almost certainly being conducted within an artificial world powered by AI and highly-powered computers, like in The Matrix, the Tesla and SpaceX CEO suggested at a tech conference in California. Mr Musk, who has donated huge amounts of money to research into the dangers of artificial intelligence, said that he hopes his prediction is true because otherwise it means the world will end. Boston Dynamics describes itself as'building dynamic robots and software for human simulation'. It has created robots for DARPA, the US' military research company Deep Blue, a computer created by IBM, won a match against world champion Garry Kasparov in 1997.
IBM Watson Is Now Offering AI-Powered Digital Ads That Answer Consumers' Questions
Big Blue is bringing a new kind of big data to digital ads. We've seen Bob Dylan talking to IBM Watson about love and loss in TV spots for months, and Big Blue now wants us to connect with the same kind of artificial intelligence--but not to discuss humanity's deepest issues. No, the idea here is more about the weather and the right kinds of spices to put in our soup. The Armonk, N.Y.-based tech giant today is announcing Watson Ads that will let consumers ask questions by voice or text and receive answers. IBM's relatively new ownership of The Weather Company's digital properties is coming into play in a serious fashion: Watson Ads will first appear on Weather.com, the Weather mobile app and the company's data-driven WeatherFX platform.
Honda to set up AI research base in Tokyo
Honda Motor Co. said Thursday that subsidiary Honda R&D Co. plans to establish a research and development base specializing in artificial intelligence in the Akasaka district of Tokyo in September. The major automaker will consolidate almost all of its AI-related R&D activities in the nation into the new base, called Honda R&D Innovation Lab Tokyo. Honda aims to speed up the development of robots and autonomous driving technologies, which it hopes to put into practical use on expressways in 2020. Honda R&D, in the city of Wako, Saitama Prefecture, is known for developing the Asimo humanoid robot. Honda believes that having an AI base in central Tokyo will make it easier for the company to cooperate with universities and other institutions, as well as information and technology companies.
Elon Musk: 'Chances are we're all living in a simulation'
Elon Musk wears many hats. So it's no surprise that over the course of an interview at California's Code conference, Musk revealed a number of things we didn't know before. Musk is no stranger to the work of philosopher Nick Bostrom, who has warned before that superintelligent AI might wipe out humanity. Musk cited that fear as a reason for investing in AI company DeepMind, before it was bought by Google. But now he's introduced the world to another concept popularised by Bostrum: the simulation problem. The problem is that if realistic simulations of the universe are possible, then there would very quickly be far more simulations of reality than actual reality.
Intel's data center chief talks machine learning -- just don't ask about GPUs
If you want to get under Diane Bryant's skin these days, just ask her about GPUs. The head of Intel's powerful data center group was at Computex in Taipei this week, in part to explain how the company's latest Xeon Phi processor is a good fit for machine learning. Machine learning is the process by which companies like Google and Facebook train software to get better at performing AI tasks including computer vision and understanding natural language. It's key to improving all kinds of online services: Google said recently that it's rethinking everything it does around machine learning. "It's a big opportunity, and there will be a hockey stick where every business will be using machine learning," she said in an interview.
New peripherals are bringing Windows Hello to any Windows 10 PC
Japan's Mouse Computer has developed add-on biometric sensors that will bring Windows Hello to any PC running Windows 10. Windows Hello is Microsoft's biometric security system. It allows users to dump passwords for facial or fingerprint recognition, but only on PCs that have the correct hardware. Many new PCs do, but generations of older machines that can run Windows 10 don't have the infrared camera or fingerprint sensors that are required. That's where the new add-on peripherals come in.
Boosting Performance of Machine Learning Models
People often get stuck when they are asked to improve the performance of existing predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the model. Here are some of the steps you can take to boost your existing models. The question is when we should ask for more data?
The Race to Cover Your World in Really Useful Buttons
As your Tesla Model S rounds the corner of your tree-lined street, dodging snow drifts and bundled children, you see your house at the end of the block. The steering wheel swings left, guiding the car into the driveway as you click a button on your visor, opening the garage. The lamp by the walkway illuminates the path to your door, where, wiping your feet on the matt, the deadbolt opens with a click. Crossing the threshold, you press a button on the wall. The lights come on, as does the TV, tuned to the game you were listening to in the car so you can see how it ends. Clicking the remote again starts the popcorn machine.