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Category: robotics/AI – Page 1,545

Supermassive black holes put a brake on stellar births

Black holes with masses equivalent to millions of suns do put a brake on the birth of new stars, say astronomers. Using machine learning and three state-of-the-art simulations to back up results from a large sky survey, researchers from the University of Cambridge have resolved a 20-year long debate on the formation of stars.

Star formation in galaxies has long been a focal point of astronomy research. Decades of successful observations and theoretical modeling resulted in our good understanding of how gas collapses to form new stars both in and beyond our own Milky Way. However, thanks to all-sky observing programs like the Sloan Digital Sky Survey (SDSS), astronomers realized that not all galaxies in the local Universe are actively star-forming—there exists an abundant population of “quiescent” objects which form stars at significantly lower rates.

The question of what stops star formation in galaxies remains the biggest unknown in our understanding of galaxy evolution, debated over the past 20 years. Joanna Piotrowska and her team at the Kavli Institute for Cosmology set up an experiment to find out what might be responsible.

‘Suicide drone’ that picks own targets seen in Ukraine in horror AI breakthrough

The six-foot drone is made by by ZALA Aero, a subsidiary of famed Russian arms manufacturer Kalashnikov. After being fired from a portable launcher the KUB-BLA can loiter over a target area for up to half an hour, flying at speeds of around 80mph.

Once it has recognised a suitable target it deliberately crashes into it, detonating its seven-pound high explosive payload.

A.I. is translating messages of long-lost languages

There are about 6,500–7,000 languages currently spoken in the world. But that’s less than a quarter of all the languages people spoke over the course of human history. That total number is around 31,000 languages, according to some linguistic estimates. Every time a language is lost, so goes that way of thinking, of relating to the world. The relationships, the poetry of life uniquely described through that language are lost too. But what if you could figure out how to read the dead languages? Researchers from MIT and Google Brain created an AI-based system that can accomplish just that.

While languages change, many of the symbols and how the words and characters are distributed stay relatively constant over time. Because of that, you could attempt to decode a long-lost language if you understood its relationship to a known progenitor language. This insight is what allowed the team which included Jiaming Luo and Regina Barzilay from MIT and Yuan Cao from Google’s AI lab to use machine learning to decipher the early Greek language Linear B (from 1,400 BC) and a cuneiform Ugaritic (early Hebrew) language that’s also over 3,000 years old.

Elon Musk Thinks Destinus Technology Will Soon End The War Against Russia, Know How

Mikhail Kokorich is the founder of Destinus. This serial entrepreneur has been dubbed Russia’s Elon Musk by his public relations team. The Russian businessman says his business, Destinus, is developing a hydrogen-powered, zero-emissions transcontinental delivery drone that can travel at speeds up to Mach 15.

Destinus plans to combine the technological advancements from a spaceplane with the ordinary and straightforward physics from a glider to create a hyperplane that will meet the many demands of a hyper-connected world.

This hyperplane will use clean hydrogen fuel to transport cargo between Europe and Australia in mere hours. The hyperplane will be fully autonomous; it will take off from ordinary runways, traveling leisurely to the coast before accelerating to supersonic speeds.

Musk reveals plan to scale Tesla to ‘extreme size’

Elon Musk signaled plans to scale Tesla to the “extreme” while teasing the release of Tesla’s “Master Plan Part 3” on Twitter one day before opening the automaker’s first European factory.

On Monday, Musk revealed on Twitter the themes that will dominate the next installment in Tesla’s long-term playbook: artificial intelligence and scaling the automaker’s operations.

“Main Tesla subjects will be scaling to extreme size, which is needed to shift humanity away from fossil fuels, and AI,” Musk tweeted. “But I will also include sections about SpaceX, Tesla and The Boring Company.”

Meta’s Yann LeCun strives for human-level AI

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.