Machine learning and AI can now restore lost detail to blurry images. Many companies and labs have created such “super resolution” algorithms, but this software is now becoming commercially available, too. Pixelmator Pro is among the first image editors to offer such a tool.
In an article published in Physical Review Letters, Bristol scientists have answered the fundamental question: “Is it possible to move without exerting force on the environment?”, by describing the tractionless self-propulsion of active matter.
Understanding how cells move autonomously is a fundamental question for both biologists and physicists.
Experiments on cell motility are commonly done by looking at the motion of a cell on a glass slide under a microscope.
Intel this morning issued a statement noting that it has picked up Israeli AI chipmaker Habana Labs. The deal, valued at around $2 billion, is the latest piece of some hefty investments in artificial intelligence that include names like Nervana Systems and Movidius.
In July, Habana announced its Gaudi AI training processor, which the Tel Aviv startup promised was capable of beating GPU-based systems by 4x. The company has been rumored to be a target for an Intel acquisition for a while now, as Intel looks to get out in front of the AI market. The company clearly doesn’t want to repeat past mistakes like missing the boat on mobile.
So far, the strategy looks like it just may pay off, giving Intel a marked advantage in a category it notes will be worth around $24 billion by 2024. In 2019 alone, Intel notes, the company expects to generate in excess of $3.5 billion in “AI-driven revenue,” a 20% increase over the year prior.
Studying how a set of conjoined twins know what the other is seeing has “validated” a ground-breaking approach to brain implants that could have come straight from the science fiction TV series Black Mirror.
Despite having separate brains, the twins in Canada can communicate thoughts and see or feel each other’s sensory input, even if their respective eyes are closed, prompting scientists from a US-based artificial intelligence (AI) developer to take a closer look.
Dr Phillip Alveda, founding chief executive of Corticol.ai, said functional magnetic resonance imaging (FMRI) showed the twins’ brains were connected via a single passage which led into each thalamus.
In 1965, American engineer Gordon Moore made the prediction that the number of transistors integrated on a silicon chip doubles every two years or so. This has proven to be true to this day, allowing software developers to double the performance of their applications. However, the performance of artificial intelligence (AI) algorithms seems to have outpaced Moore’s Law.
According to a new report produced by Stanford University, AI computational power is accelerating at a much higher rate than the development of processor chips.
“Prior to 2012, AI results closely tracked Moore’s Law, with compute doubling every two years,” the authors of the report wrote. “Post-2012, compute has been doubling every 3.4 months.”
Intel just spent approximately $2 billion to acquire Israel-based AI firm Habana Labs. The partnership will “turbo-charge” Intel’s AI offerings for data centers, Intel said in a press release.
From lab grown meat to object-manipulating robots, the tech that will transform our future is bound to be much bigger than the internet or smart phone.
Too many corporate AI pilot programs fail. Here are the five areas you should focus on to get your company’s AI initiatives soaring.
The first driverless cars were supposed to be deployed on the roads of American cities in 2019, but just a few days before the end of the year, the lofty promises of car manufacturers and Silicon Valley remain far from becoming reality.
Recent accidents, such as those involving Tesla cars equipped with Autopilot, a driver assistance software, have shown that “the technology is not ready,” said Dan Albert, critic and author of the book “Are We There Yet?” on the history of the American automobile.
He questioned the optimistic sales pitch that autonomous cars would help reduce road deaths — 40,000 every year in the United States, mostly due to human error — because these vehicles themselves have caused deaths.
Jeff Dean says the company is trying to build systems that have general smarts, rather than highly specialized intelligence.