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Category: robotics/AI – Page 2,338

Analysis: “The Era of Deep Learning Is Coming to an End”

Many of the new developments in artificial intelligence that we hear about nowadays are actually just applications of machine learning techniques that have been hammered out for years.

And as the research community’s attention shifts from deep learning, it remains unclear what will take its place, according to MIT Tech. In the past, older types of artificial intelligence that didn’t really take off when they were first developed later resurfaced and taken off with new life. For instance, scientists first developed machine learning decades ago, but it only became commonplace about a decade ago.

MIT Tech didn’t predict what will come next. It may be that some form of existing technology will finally hits its stride, but it’s also possible that an AI engineer will develop some brand-new type of AI that’ll shape the future.

BrainRobotics’ EMG Controlled Prosthetic Hand

Here is another advanced prosthetic device that can make life easier for amputees. BrainRobotics’ EMG Prosthetic Hand features a modular mechanical design. It comes with 8 signal detection channels for precise EMG readings. An advanced machine learning algorithm is used to allow users to intuitively control this robotic prosthesis.

More like this ➡️ here.

Blue Danube Robotics

Blue Danube Robotics focuses on safe human robot collaboration in mass production. The Austrian company produces state of the art safety solutions for robots, cobots and End-of-Arm-Tooling (EOAT). These safety solutions make robots safe for humans and thus efficient for enterprises.

Google’s DeepMind AI Just Beat Two Pros At StarCraft II

“Human players must explicitly manage an ‘economy of attention’ to decide where to focus the camera,” said the DeepMind team. “However, analysis of AlphaStar’s games suggests that it manages an implicit focus of attention. On average, agents ‘switched context’ about 30 times per minute,” the team wrote, which was similar to Komincz’s and Wünsch’s behaviors.

Ultimately, the DeepMind team concluded that AlphaStar won against both pros because of “superior macro and micro-strategic decision-making, rather than superior click-rate, faster reaction times, or the raw interface.”

Machine Learning and Medicine: Is AI the Future of Psychiatry?

Artificial intelligence, or AI is something we hear a lot about today. In this interview with Life.

Extension’s Michael A. Smith, MD, Kristen Willeumier, PhD, provides some insight into AI technology and its relationship with psychiatry which, along with neurology, studies and treats diseases of the brain. Dr. Smith predicts that AI will soon be an important part of how we understand and treat disease. According to Dr. Willeumier, some of that technology is now “ready for prime time.” Download this Live Foreverish podcast episode for FREE on iTunes!

Artificial intelligence is, simply, the intelligence of machines as opposed to human or animal intelligence. According to the New World Encyclopedia™, “Artificial intelligence (AI) is a branch of computer science and engineering that deals with intelligent behavior, learning, and adaptation in machines. John McCarthy coined the term to mean ‘the science and engineering of making intelligent machines.’”.

For Industrial Robots, Hacking Risks Are On the Rise

In the future, industrial robots may create jobs, boost productivity and spur higher wages. But one thing seems more certain for now: They’re vulnerable to hackers.

Factories, hospitals and other big robot users often lack sufficient levels of defense against a digital attack, according to cybersecurity experts, robot manufacturers and engineering researchers. The risk levels are rising as more robots morph from being offline and isolated to being internet-connected machines, often working alongside humans.

5G promises to make factories a lot smarter. And that means they’ll be a lot more vulnerable.

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