Lifeboat Foundation

What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on the answer. Yann LeCun, Chief AI Scientist at Meta and the recipient of the 2018 Turing Award, is betting on self-supervised learning, machine learning models that can be trained without the need for human-labeled examples.

LeCun has been thinking and talking about self-supervised and unsupervised learning for years. But as his research and the fields of AI and neuroscience have progressed, his vision has converged around several promising concepts and trends.

In a recent event held by Meta AI, LeCun discussed possible paths toward human-level AI, challenges that remain and the impact of advances in AI.

Space weather experts have spotted the sun ejecting a large mass of particles and think this could hit Earth in the next few days.

When ejections like this hit Earth’s magnetic field, they can cause solar storms.

An ejection like this is known as a solar flare called a coronal mass ejection (CME).

A Dynamic Programming approach.

We also point out an observation that will be the topic of this post. Classic dynamics system is a solution of an optimal control problem.

A.I. is only beginning to show what it can do for modern medicine.

In today’s society, artificial intelligence (A.I.) is mostly used for good. But what if it was not?

Naive thinking “The thought had never previously struck us. We were vaguely aware of security concerns around work with pathogens or toxic chemicals, but that did not relate to us; we primarily operate in a virtual setting. Our work is rooted in building machine learning models for therapeutic and toxic targets to better assist in the design of new molecules for drug discovery,” wrote the researchers in their paper. “We have spent decades using computers and A.I. to improve human health—not to degrade it. We were naive in thinking about the potential misuse of our trade, as our aim had always been to avoid molecular features that could interfere with the many different classes of proteins essential to human life.”

Continue reading “An artificial intelligence invents 40,000 chemical weapons in just 6 hours” »

Good news electric vehicle enthusiasts, Tesla owners, and Elon Musk fanboys: Musk has announced that he’s working on Tesla Master Plan Part 3.

“Looks like Musk enjoyed @danahull’s latest @hyper_drive newsletter column reflecting on Tesla’s master plans and its missing affordable EVs. https://bloom.bg/3667rlp”

Rice University researchers have tested a tiny lensless microscope called Bio-FlatScope, capable of producing high levels of detail in living samples. The team imaged plants, hydra, and, to a limited extent, a human.

A previous iteration of the technology, FlatCam, was a lensless device that channeled light through a mask and directly onto a camera sensor, aimed primarily outward at the world at large. The raw images looked like static, but a custom algorithm translated the raw data into focused images.

The device described in current research looks inward to image micron-scale targets such as cells and blood vessels inside the body, and even through skin. The technology combines a sophisticated phase mask to generate patterns of light that fall directly onto the chip, the researchers said. The mask in the original FlatCam looked like a barcode and limited the amount of light that passes through to the sensor.