Lifeboat Foundation

But what if it’s telling them a false story?

For something so small, neurons can be quite complex—not only because there are billions of them in a brain, but because their function can be influenced by many factors, like their shape and genetic makeup.

A research team led by Daifeng Wang, a Waisman Center professor of biostatistics and medical informatics and computer sciences at the University of Wisconsin–Madison, is adapting machine learning and artificial intelligence techniques to better understand how a variety of traits together affect the way neurons work and behave.

Called manifold learning, the approach may help researchers better understand and even predict brain disorders by looking at specific neuronal properties. The Wang lab recently published its findings in two studies.

Soft sensing technologies have the potential to revolutionize wearable devices, haptic interfaces, and robotic systems. However, most soft sensing technologies aren’t durable and consume high amounts of energy.

Now, researchers at the University of Cambridge have developed self-healing, biodegradable, 3D-printed materials that could be used in the development of realistic artificial hands and other soft robotics applications. The low-cost jelly-like materials can sense strain, temperature, and humidity. And unlike earlier self-healing robots, they can also partially repair themselves at room temperature.

“Incorporating soft sensors into robotics allows us to get a lot more information from them, like how strain on our muscles allows our brains to get information about the state of our bodies,” said David Hardman from Cambridge’s Department of Engineering the paper’s first author.

https://youtube.com/watch?v=GM3GM299orc

The photos look like a scene out of science fiction: Robot dogs patrolling the US-Mexico border, climbing over harsh terrain to search for threats and contraband.

But these images are real.

Continue reading “Robot dogs could patrol the US-Mexico border” »

The Google-backed AI firm taught a reinforcement learning algorithm to control the fiery plasma inside a tokamak nuclear fusion reactor.

But thankfully it did NOT involve 6 malevolent AI robot arms, NOR was it done in the middle of New York City by an oddly literally named Doctor Octavious. ☝️😉

Google’s DeepMind can dynamically adjust the magnetic fields inside a tokamak.

Researchers have developed self-healing, biodegradable, 3D-printed materials that could be used in the development of realistic artificial hands and other soft robotics applications.

The low-cost jelly-like materials, developed by researchers at the University of Cambridge, can sense strain, temperature and humidity. And unlike earlier self-healing robots, they can also partially repair themselves at room temperature.

The results are reported in the journal NPG Asia Materials.

DPS Group and Aizon discuss how artificial intelligence is enabling adaptive modeling in process development and integrating activities in biomanufacturing.