Lifeboat Foundation

Research in the field continues to focus on seizure prevention, prediction and treatment. Dr. Van Gompel predicts that the use of artificial intelligence and machine learning will help neurologists and neurosurgeons continue to move toward better treatment options and outcomes.

“I think we will continue to move more and more toward removing less and less brain,” says Dr. Van Gompel. “And in fact, I do believe in decades, we’ll understand stimulation enough that maybe we’ll never cut out brain again. Maybe we’ll be able to treat that misbehaving brain with electricity or something else. Maybe sometimes it’s drug delivery, directly into the area, that will rehabilitate that area to make it functional cortex again. That’s at least our hope.”

Continue reading “Mayo Clinic Q&A podcast: The latest options for treating epilepsy” »

What’s after 2024?

This work is public domain in support of the movement to abolish IP.

Continue reading “Solve The A.I. Crisis” »

Continuous-time neural networks are one subset of machine learning systems capable of taking on representation learning for spatiotemporal decision-making tasks. Continuous differential equations are frequently used to depict these models (DEs). Numerical DE solvers, however, limit their expressive potential when used on computers. The scaling and understanding of many natural physical processes, like the dynamics of neural systems, have been severely hampered by this restriction.

Inspired by the brains of microscopic creatures, MIT researchers have developed “liquid” neural networks, a fluid, robust ML model that can learn and adapt to changing situations. These methods can be used in safety-critical tasks such as driving and flying.

However, as the number of neurons and synapses in the model grows, the underlying mathematics becomes more difficult to solve, and the processing cost of the model rises.

Greg Bear, the affable San Diego native who wrote such highly acclaimed and plausible science fiction novels as “Blood Music,” “Darwin’s Radio” and “Eon” and who helped create San Diego Comic-Con, died Saturday in Seattle. He was 71.

His books included “Blood Music” and “Darwin’s Radio,” which helped establish him as a “hard” sci-writer who created plausible tales with the help of scientists.

Continue reading “Greg Bear, prize-winning sci-fi author and Comic-Con co-founder, dies at 71” »

He has surpassed every medical expectation throughout his recovery. Gretarsson can now walk his dog, brush his teeth and give high-fives — as demonstrated when he met Iceland’s president.

“I have feelings in every finger, in the hand,” Gretarsson said recently alongside his wife, Silvia, Friday on “Good Morning Britain.”

Continue reading “I got world’s first double arm transplant — and can finally hug my grandkids” »

Former Neuralink president Max Hodak’s new BCI startup relies on photonics to send light through a patient’s optic nerve and transmit information.

^b Department of Polymer Science and Engineering and Key Laboratory of High Performance Polymer Materials and Technology of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210,023, China.

^c Institute of Chemical and Bioengineering, ETH Zurich, Vladimir Prelog Weg 1, 8093 Zurich, Switzerland.

Received 21st February 2019, Accepted 17th April 2019.

Chemists have created nanorobots propelled by magnets that remove pollutants from water. The invention could be scaled up to provide a sustainable and affordable way of cleaning up contaminated water in treatment plants.

Martin Pumera at the University of Chemistry and Technology, Prague, in the Czech Republic and his colleagues developed the nanorobots by using a temperature-sensitive polymer material and iron oxide. The polymer acts like tiny hands that can pick up and dispose of pollutants in the water, while the iron oxide makes the nanorobots magnetic. The researchers also added oxygen and hydrogen atoms to the iron oxide that can attach onto target pollutants.

The robots are about 200 nanometres wide and are powered by magnetic fields, which allow the team to control their movements.

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A supercomputer, providing massive amounts of computing power to tackle complex challenges, is typically out of reach for the average enterprise data scientist. However, what if you could use cloud resources instead? That’s the rationale that Microsoft Azure and Nvidia are taking with this week’s announcement designed to coincide with the SC22 supercomputing conference.

Nvidia and Microsoft announced that they are building a “massive cloud AI computer.” The supercomputer in question, however, is not an individually-named system, like the Frontier system at the Oak Ridge National Laboratory or the Perlmutter system, which is the world’s fastest Artificial Intelligence (AI) supercomputer. Rather, the new AI supercomputer is a set of capabilities and services within Azure, powered by Nvidia technologies, for high performance computing (HPC) uses.