Lifeboat Foundation

Wearable human-machine interface devices, HMIs, can be used to control machines, computers, music players, and other systems. A challenge for conventional HMIs is the presence of sweat on human skin.

In Applied Physics Reviews, scientists at UCLA describe their development of a type of HMI that is stretchable, inexpensive, and waterproof. The device is based on a soft magnetoelastic sensor array that converts mechanical pressure from the press of a finger into an electrical signal.

Continue reading “Human-machine interfaces work underwater, generate their own power” »

Over the past few decades, computers have seen dramatic progress in processing power; however, even the most advanced computers are relatively rudimentary in comparison with the complexities and capabilities of the human brain.

Researchers at the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory say this may be changing as they endeavor to design computers inspired by the human brain’s neural structure.

As part of a collaboration with Lehigh University, Army researchers have identified a design strategy for the development of neuromorphic materials.

Deep dive into the nature of consciousness and reality.

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Continue reading “Donald Hoffman Λ Joscha Bach on Consciousness, Free Will, and Gödel [Theolocution]” »

Alex Martinelli writes:

This entry gives an introduction to and how you can use it via Blender to train performant and robust vision models. I provide the code and node-trees for a demonstrative visual classification scenario from the fashion domain. You’ll then be able to generate a technically infinite amount of images for your use-case.

Read the entry on Medium.

Circa 2010 face_with_colon_three

http://www.ted.com Stephen Wolfram, creator of Mathematica, talks about his quest to make all knowledge computational — able to be searched, processed and manipulated. His new search engine, Wolfram Alpha, has no lesser goal than to model and explain the physics underlying the universe.

Continue reading “Computing a theory of everything | Stephen Wolfram” »

“We are aiming to provide capabilities in the tens to hundreds of milliwatts range, depending on the use case,” Makhijani said.

Compared to the first–gen chip GrAI One, the third–gen GrAI VIP is slightly physically smaller at 7.6 × 7.6 mm, but the company has skipped a process node and migrated to TSMC 12 nm. The chip has slightly fewer neuron cores, 144 compared to 196, but each core is bigger. The result is a jump from 200,000 neuron cores (250,000 parameters) to around 18 million neurons for a total of 48 million parameters. On–chip memory has jumped from 4 MB to 36 MB.

An M.2 hardware development kit featuring GrAI VIP is available now, shipping with GrAI Matter’s GrAI Flow software stack and model zoo for image classification, object detection, and image segmentation.

Circa 2021 This gets very close to a master algorithm for math and helps with quantum computing too.

Abstract. Humans carrying the CORD7 (cone-rod dystrophy 7) mutation possess increased verbal IQ and working memory. This autosomal dominant syndrome is caused b.

Realistic and complex models of brain cells, developed at Cedars-Sinai with support from our scientists and our #openscience data, could help answer questions a… See more.

Cedars-Sinai investigators have created bio-realistic and complex computer models of individual brain cells—in unparalleled quantity.

Their research, published today in the peer-reviewed journal Cell Reports, details how these models could one day answer questions about neurological disorders—and even human intellect—that aren’t possible to explore through biological experiments.

Continue reading “Cedars-Sinai Creates Computer Models of Brain Cells” »

When Carnegie Mellon University doctoral candidates I-Hsuan Kao and Ryan Muzzio started working together a switch flicked on. Then off.

Working in the Department of Physics’ Lab for Investigating Quantum Materials, Interfaces and Devices (LIQUID) Group, Kao, Muzzio and other research partners were able to show proof of concept that running an electrical current through a novel two-dimensional material could control the magnetic state of a neighboring magnetic material without the need of applying an external magnetic field.

The groundbreaking work, which was published in Nature Materials in June and has a related patent pending, has potential applications for data storage in consumer products such as digital cameras, smartphones and laptops.