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Category: robotics/AI – Page 2,020

Here’s how artificial intelligence could cure disease in the future

Circa 2016 could cure viruses in no time.

When you get right down to it, developing vaccines is about data and luck. Scientists start with a set of variables—what drugs a virus responds to, how effectively, and for whom—and then it’s a whole lot of trial and error until they stumble upon a cure.

One of the most exciting possibilities in medical research right now is how technology like machine learning could help researchers rapidly process those enormous sets of data, more quickly leading to cures. This is already starting to happen: In a study published Wednesday in the journal Macromolecules, researchers from IBM and Singapore’s Institute of Bioengineering and Nanotechnology reveal a breakthrough that could help prevent deadly virus infections. With the help of IBM super computer Watson, they hope their finding will soon make its way into vaccines.

Mathematicians Have Developed a Computing Problem That AI Can Never Solve

Not everything is knowable. In a world where it seems like artificial intelligence and machine learning can figure out just about anything, that might seem like heresy – but it’s true.

At least, that’s the case according to a new international study by a team of mathematicians and AI researchers, who discovered that despite the seemingly boundless potential of machine learning, even the cleverest algorithms are nonetheless bound by the constraints of mathematics.

“The advantages of mathematics, however, sometimes come with a cost… in a nutshell… not everything is provable,” the researchers, led by first author and computer scientist Shai Ben-David from the University of Waterloo, write in their paper.

Food Waste Is a Serious Problem. AI Is Trying to Solve It

Circa 2019

Technology has long been helping to hack world hunger. These days most conversations about tech’s impact on any sector of the economy inevitably involves artificial intelligence—sophisticated software that allows machines to make decisions and even predictions in ways similar to humans. Food waste tech is no different.

A report from the Ellen MacArthur Foundation and Google estimates that technologies employing AI to “design out food waste” could help generate up to $127 billion a year by 2030. These technologies range from machine vision that can spot when fruit is ready to be picked to algorithms that forecast demand in order to ensure retailers don’t overstock certain foods.

One London-based startup that has been generating headlines by reducing food waste is Winnow Solutions. The company took in $20 million in October from equity investments and loans to scale its AI platform, Winnow Vision, which identifies and weighs food waste for commercial kitchens. It then automatically assigns a dollar value to each scraped plate of fettuccine Alfredo or bowl of carrots dumped into its smart waste bin.

The U.S. Marines Plan to Use Powerful Robots to Move Around Equipment and Weapons

Key point: Washington knows it needs high-tech weapons and machines to win future wars. That includes robots to haul supplies and assist the Marines in winning any fight.

The U.S. Navy is moving quickly to develop robotic warships that could hunt submarines and other ships, screen aircraft carriers and convoys from air attack and sweep away enemy mines.

But there’s another mission the Navy should consider assigning to unmanned surface vessels, Neil Zerbe, a retired Navy officer, argued for the Center for International Maritime Security: shuttling supplies from ship to shore in the aftermath of an amphibious assault by U.S. Marines.

How to Levitate Objects With Sound (and Break Your Mind)

Along with personal jetpacks for every man, woman, and child (sure, why not), levitation is one of those conveniences that sci-fi has long promised us but has yet to deliver, other than magnetically levitating trains. But at Argonne National Laboratory in Illinois, physicist Chris Benmore and his colleagues are levitating objects with an unlikely tool: sound. It’s called acoustic levitation, and after breaking your brain with what seems to be an optical illusion, it’s poised to deliver advances in pharmacology, chemistry more broadly, and even robotics.

Facing Up to Facial Recognition

I’m excited to share my new opinion piece on AI facial recognition and privacy for IEEE Spectrum:

The views expressed here are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE.

Many people seem to regard facial-recognition software in much the same way they would a nest of spiders: They recognize, in some abstract way, that it probably has some benefits. But it still gives them the creeps.

It’s time for us to get over this squeamishness and embrace face recognition as the life-enhancing—indeed, life–saving—technology that it is. In many cities, closed-circuit cameras increasingly monitor streets, plazas, and parks around the clock. Meanwhile, the price of recognition software is decreasing, while its capabilities are increasing.

I welcome these trends. I want my 9-year-old daughter tracked while she walks alone to school. I want a face scanner at Starbucks to simply withdraw the payment for my coffee from my checking account. I want to board a plane without fumbling for a boarding pass. Most of all, I want murderers or terrorists recognized as they walk on a city street and before they can cause further mayhem.

The Air Force is using Uber-like technology to more efficiently vaporize bad guys

The Air Force’s top general says one of the designers of the ride-sharing app Uber is helping the branch build a new data-sharing network that the Air Force hopes will help service branches work together to detect and destroy targets.

The network, which the Air Force is calling the advanced battle management system (ABMS), would function a bit like the artificial intelligence construct Cortana from Halo, who identifies enemy ships and the nearest assets to destroy them at machine speed, so all the fleshy humans need to do is give a nod of approval before resuming their pipe-smoking.