Lifeboat Foundation

Physics-informed machine learning might help verify microchips.

Physicists love recreating the world in software. A simulation lets you explore many versions of reality to find patterns or to test possibilities. But if you want one that’s realistic down to individual atoms and electrons, you run out of computing juice pretty quickly.

Machine-learning models can approximate detailed simulations, but often require lots of expensive training data. A new method shows that physicists can lend their expertise to machine-learning algorithms, helping them train on a few small simulations consisting of a few atoms, then predict the behavior of system with hundreds of atoms. In the future, similar techniques might even characterize microchips with billions of atoms, predicting failures before they occur.

Continue reading “Physicists Teach AI to Simulate Atomic Clusters” »

In a new patent from AMD, researchers have highlighted techniques for performing machine learning operations using one or more dedicated ML accelerator chiplets. The resulting device is called an Accelerated Processing Device or APD which can be used for both gaming and data center GPUs via different implementations. The method involves configuring a part of the chiplet memory as a cache while the other as directly accessible memory.

The sub-portion of the former is then used by the machine learning accelerators on the same chiplet to perform machine learning operations. The patent is very open-ended with respect to its uses, indicating possible use in CPUs, GPUs, or other caching devices, but the primary target appears to be GPUs with several thousand SIMD units.

One implementation of the APD is configured to accept commands via both graphics and compute pipelines from the command processor, showing the ability to both render graphics as well as compute-intensive workloads required by convolution networks. The APD contains several SIMDs capable of performing vector operations alongside limited scalar and SP tasks similar to existing AMD GPUs.

https://youtube.com/watch?v=dQfV2_sROBw

On June 25, 2021 NASA published detail description of future missions for Ingenuity Mars Helicopter considering 2nd software update because of HD imaging issue. Ingenuity’s team determined that capturing color images may have been inducing the imaging pipeline glitch, which resulted in the instability (Flight 6 anomaly). So Mars Helicopter needs 2nd software update to make thing going well within upcoming 9th flight. Ingenuity’s first bug was solved by software update (watchdog timer issue). Another software update for Mars Helicopter is intended to return ability to make 13 Megapixels photos on mars without flight anomalies for Ingenuity. Last week Mars Helicopter completed 8th flight on flying to 160 meters South and Perseverance goes to new location Séítah as well. Black and white images are from Ingenuity’s onboard camera directly. Mars Helicopter flew for 77.4 seconds. Maximal horizontal speed was 4 meters per second. Altitude was 10 meters. Ingenuity made amazing work to live on Mars autonomously.

Credit: nasa.gov, NASA/JPL-Caltech, NASA/JPL-Caltech/ASU

Continue reading “Helicopter Ingenuity in trouble on Mars losing ability to take Hi-Res color photos” »

Plus: SoftBank halts Pepper the robot production.

Researchers and entrepreneurs are starting to ponder how AI could create versions of people after their deaths—not only as static replicas but as evolving digital entities that may steer companies or influence world events.

Experts are exploring ways artificial intelligence might confer a kind of digital immortality, preserving the personalities of the departed in virtual form and then allowing them to evolve.

This video was made possible by NordPass. Sign up with this link and get 70% off your premium subscription + 1 monrth for free! https://nordpass.com/futurology.

Visit Our Parent Company EarthOne For Sustainable Living Made Simple ➤
https://earthone.io/

Continue reading “The Technological Revolution (The 4th Industrial Revolution Explained)” »

This is only the Beginning.

Quantum physicist Mario Krenn remembers sitting in a café in Vienna in early 2016, poring over computer printouts, trying to make sense of what MELVIN had found. MELVIN was a machine-learning algorithm Krenn had built, a kind of artificial intelligence. Its job was to mix and match the building blocks of standard quantum experiments and find solutions to new problems. And it did find many interesting ones. But there was one that made no sense.

“The first thing I thought was, ‘My program has a bug, because the solution cannot exist,’” Krenn says. MELVIN had seemingly solved the problem of creating highly complex entangled states involving multiple photons (entangled states being those that once made Albert Einstein invoke the specter of “spooky action at a distance”). Krenn and his colleagues had not explicitly provided MELVIN the rules needed to generate such complex states, yet it had found a way. Eventually, he realized that the algorithm had rediscovered a type of experimental arrangement that had been devised in the early 1990s. But those experiments had been much simpler. MELVIN had cracked a far more complex puzzle.

Continue reading “AI Designs Quantum Physics Experiments Beyond What Any Human Has Conceived” »

Below is my Answer.

“There is big confluence between AI & Social Media. It is a two way thing, AI not only affects Social Media, Social Media also plays a great role in the development of AI.

The way AI is developed is through data, large data (big data) and one of the easiest ways to generate and source for data at this scale is from the contents and interactions on social media.

Continue reading “Someone recently asked the question on Quora, How does AI affect social media?” »

Mesobot can track squid, jellyfish, and other deep-sea creatures for up to a day at a time.