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Category: robotics/AI – Page 2,123

Microrobot system regenerates knee cartilage in rabbits

A team of researchers affiliated with multiple institutions in China and one in Korea has developed a micro-robot system that regenerated knee cartilage in rabbits. In their paper published in the journal Science Advances, the group describes their system and how well it worked.

In many developed countries, the population is growing older, which means aging-related health conditions are on the rise. One such ailment common in older people is degeneration of the in the knees and hips. When this happens, a common treatment is replacing the knee or hip joint with an artificial device. In this new effort, the researchers have found a better way to handle the problem—regrowing the cartilage.

Prior research has shown that found in and fat can be coaxed into growing into cartilage cells. And researchers have also found that stem cells can be used to repair damaged cartilage. The challenge is placing the cells in the body where they are needed and keeping them in place until they attach to the surrounding tissue. In this new effort, the researchers have created a system that was able to overcome these hurdles—at least in rabbits.

RealityEngines.AI Launches World’s First Autonomous Cloud AI Service

San Francisco startup RealityEngines. AI has turned off stealth mode and today launched its completely autonomous cloud AI service. It’s all very tedious to the common reader IMO — enterprise-level business stuff — but the technology itself and how it could shape our future in both data and perceived reality should be at least mildly considered.

Here’s how RealityEngines. AI works: using a Neural Architecture Search (NAS) technique called BANANAS, when a user points their data (through an API) to RealityEngines. AI and selects a use case (churn predictions, fraud detection, sales lead forecasting, security threat detection, cloud spend optimization, et al.), the data is attacked by the NAS to create cutting-edge models then refined by a generative adversarial network (GAN) in order to augment sparse or noisy data with synthetic data to further enhance the data modeling. Now that, is bananas.

It’s a democratization of AI that will not only create a service that allows anyone to create AI models without having to hire a team of developers, but it makes that service accessible to any business that feels it needs it and might not even have enough data. The synthetic data technology can help companies create AI models with a moderate amount of data.

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.

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