Lifeboat Foundation

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.

The European Space Agency (ESA) is launching the first mission to remove a piece of space debris, set for 2025. The ClearSpace-1 mission will collect a piece of the Vespa (Vega Secondary Payload Adapter) second stage which was left by an ESA mission in 2013, which weighs approximately 100 grams and is the size of a small satellite.

The ESA selected a Swiss startup called ClearSpace to lead the mission. “This is the right time for such a mission,” Luc Piguet, founder and CEO of ClearSpace, said in a statement. “The space debris issue is more pressing than ever before. Today we have nearly 2000 live satellites in space and more than 3000 failed ones. And in the coming years, the number of satellites will increase by an order of magnitude, with multiple mega-constellations made up of hundreds or even thousands of satellites planned for low Earth orbit to deliver wide-coverage, low-latency telecommunications and monitoring services. The need is clear for a ‘tow truck’ to remove failed satellites from this highly trafficked region.”

The problem of space debris is becoming increasingly urgent, with more and more potentially hazardous objects in orbit around the planet, some at extremely high speeds. Debris can pose a risk to manned missions and the International Space Station as well as satellites and other unmanned missions.

With companies offering free shipping to gain a competitive edge, radical new technologies are being tested to cut the cost of the supply chain’s expensive “last mile”.

About AI bias.

Yet AI bias is by itself a biased term, as if the machine/algorithm were to blame for human bias and/or an incorrect data set.