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Continue reading “Joscha Bach, Synthetic Intelligence” »

A unique ultra-faint dwarf galaxy has been discovered on the outer fringes of the Andromeda Galaxy thanks to the discerning eyes of an amateur astronomer examining archival data processed by NSF’s NOIRLab’s Community Science and Data Center. The dwarf galaxy — Pegasus V — was revealed to contain very few heavier elements and is likely to be a fossil of the first galaxies in follow-up observations by professional astronomers using the International Gemini Observatory, a Program of NSF’s NOIRLab.

An unusual ultra-faint dwarf galaxy has been discovered on the edge of the Andromeda Galaxy with the help of several facilities of NSF’s NOIRLab. Called Pegasus V, the galaxy was first detected as part of a systematic search for Andromeda dwarfs coordinated by David Martinez-Delgado from the Instituto de Astrofísica de Andalucía, Spain, when amateur astronomer Giuseppe Donatiello discovered a curious ‘smudge’ in data in a DESI

Continue reading “Unusual Fossil Galaxy Discovered on Outskirts of Andromeda — Could Reveal History of the Universe” »

A scientist with the Aeronautical Development Establishment told Defense News that the flight test of the aircraft — also referred to as the Stealth Wing Flying Testbed, or SWiFT — took place to demonstrate its of ability to take off, climb in altitude, cruise midair, navigate to waypoints, descend and land autonomously.

He noted that the next step is to develop a proven autonomous combat surveillance platform. The scientist spoke on the condition of anonymity because he was not authorized to speak to the media.

The 1-ton SWiFT platform is powered by a Russian NPO Saturn 36MT turbofan engine. The platform had completed taxi trials in September 2021.

Assistance robots are typically mobile robots designed to assist humans in malls, airports, health care facilities, home environments and various other settings. Among other things, these robots could help users to find their way around unknown environments, for instance guiding them to a specific location or sharing important information with them.

While the capabilities of assistance robots have improved significantly over the past decade, the systems that have so far been implemented in real-world environments are not yet capable of following or guiding humans efficiently within crowded spaces. In fact, training robots to track a specific user while navigating a dynamic environment characterized by many randomly moving “obstacles” is far from a simple task.

Researchers at the Berlin Institute of Technology have recently introduced a new model based on deep reinforcement learning that could allow mobile robots to guide a specific user to a desired location or follow him/her around while carrying their belongings, all within a crowded environment. This model, introduced in a paper pre-published on arXiv, could help to significantly enhance the capabilities of robots in malls, airports and other public places.

View pictures in App save up to 80% data. An illustration of tiny wedge-shaped robots – collectively known as Sensing With Independent Micro-Swimmers (SWIM) – deployed into the ocean miles below a lander on the frozen surface of an ocean world data-image-width=982 data-image-height=726 An illustration of tiny wedge-shaped robots – collectively known as Sensing With Independent Micro-Swimmers (SWIM) – deployed into the ocean miles below a lander on the frozen surface of an ocean world NASA has unveiled a plan to unleash swarms of cellphone-sized robots to hunt for alien life on other planets.

Lex Friedman interviews Google’s Deep Mind founder and CEO Demis Hassabis. In this clip Lex Friedman asks about the claim that LaMDA is sentient.

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=Gfr50f6ZBvo.
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Continue reading “Lex Fridman on Google engineer’s claim that AI became sentient” »

https://youtube.com/watch?v=xTnsuqoV4us

Meta researchers believe that self-supervised learning is a necessary prerequisite for AI systems that can build “world models” and can therefore begin to gain human-like faculties such as reason, common sense, and the ability to transfer skills and knowledge from one context to another.

In the quest for human-level intelligent AI, Meta is betting on self-supervised learning.

Artificial Intelligence is outgrowing the current pace of Hardware Improvements and requires a new kind of technology to keep up and enable future AI Applications. Scientists seem to have found that creating artificial brains out of nanowire can mimic the human brain and power the biggest and smartest AI models ever made at relatively low energy consumption.

Today’s deep neural networks already mimic one aspect of the brain: its highly interconnected network of neurons. But artificial neurons behave very differently than biological ones, as they only carry out computations. In the brain, neurons are also able to remember their previous activity, which then influences their future behavior. This in-built memory is a crucial aspect of how the brain processes information, and a major strand in neuromorphic engineering focuses on trying to recreate this functionality. This has resulted in a wide range of designs for so-called “memristors”: electrical components whose response depends on the previous signals they have been exposed to.
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Continue reading “The Rise of Artificial Brains — Nanowire Brain Powers Artificial Intelligence” »

Hear from NVIDIA CEO Jensen Huang, @Siemens CEO Roland Busch, and @BMW AG board member Milan Nedeljković as they discuss the next stage of industrial automation. Learn how groundbreaking technologies like Siemens Xcelerator and @NVIDIA Omniverse enable companies of all sizes to build closed-loop, truly real-time, full-design-fidelity immersive digital twins.

Deep dive into the announcements at https://nvda.ws/3npbpdJ.

Continue reading “The Future of AI-Accelerated Industrial Automation with Siemens and NVIDIA” »