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Category: robotics/AI – Page 499

Experts created robotic arms to conduct essential medical triage in perilous situations like humanitarian disasters and conflict zones.

Developed by researchers at the University of Sheffield, this revolutionary technology has the potential to be a life-saving intervention in high-risk places.

Examining victims within 20 minutes

Built upon the innovative “medical telexistence (MediTel) solution,” this state-of-the-art mobile robotic-controlled uncrewed ground vehicle (UGV) incorporates virtual reality (VR) technology.

Continue reading “Experts craft life-saving ‘robot medics’ for triage in high-risk places” | >

The internet’s steady fall into the AI-garbled dumpster continues. As Vice reports, a recent stud y conducted by researchers at the Amazon Web Services (AWS) AI Lab found that a “shocking amount of the web” is already made up of poor-quality AI-generated and translated content.

The paper is yet to be peer-reviewed, but “shocking” feels like the right word. According to the study, over half — specifically, 57.1 percent — of all of the sentences on the internet have been translated into two or more other languages. The poor quality and staggering scale of these translations suggest that large language model (LLM)-powered AI models were used to both create and translate the material. The phenomenon is especially prominent in “lower-resource languages,” or languages with less readily available data with which to more effectively train AI models.

In other words, in what the researchers believe to be a ploy to garner clickbait-driven ad revenue, AI is being used to first generate poor-quality English-language content at a remarkable scale, and then AI-powered machine translation (MT) tools transcribe said content into several other languages. The translated material gets worse each time — and as a result, entire regions of the web are filling to the brim with degrading AI-scrambled copies of copies.

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HELSINKI — Japan’s SLIM “Moon Sniper” spacecraft made a successful lunar landing Friday, making the country just the fifth to robotically land on the moon.

The Smart Lander for Investigating Moon (SLIM) spacecraft began its descent from a 15-kilometer perilune shortly after 10:00 a.m. Eastern, Jan. 19 (1500 UTC), decelerating from a speed of around 1,700 meters per second.

SLIM appeared to have successfully touched down at 10:20 a.m. (1520 UTC), during a Japan Aerospace Exploration Agency (JAXA) livestream of the event. It was not however immediately clear if the landing was successful, with the livestream ending inconclusively. A wait of more than an hour followed for clarification and confirmation.

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Using AI and cloud computing, Microsoft was able to identify promising new battery materials for the Department of Energy (DoE) — in a fraction of the time it would usually take.

The challenge: Batteries are an essential part of the clean energy future. We need them to power electric vehicles and to store energy from solar and wind.

Currently, lithium-ion batteries are our best option for both of these uses, but they aren’t ideal. Because lithium is relatively scarce, it’s also expensive, and the metal is often unethically mined using child labor and environmentally destructive processes.

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Go to https://l.linqto.com/anastasiintech to secure your $500 discount off your first investment into Cerebras or any leading AI tech companies on Linqto! My discount code ANASTASI500 is valid for 30 days.

The Paper: https://arxiv.org/abs/2312.10868
Mixture of Experts explained here: https://huggingface.co/blog/moe.
Consciousness discussion with Nick Bostrom: • Mind Uploading is Closer Than You Thi…

TIMESTAMPS:
00:00 — AA’s Technology.
06:28 — Conscious AI System.
08:48 — What’s next after LLMs?
13:53 — AGI
15:42 — Other AI Startups to watch in 2024
17:02 — 2024 Outlook.

Support me at Patreon ➜ / anastasiintech.

Continue reading “This New OpenAI Rival is taking the world by storm” | >

The transformative impact of #AI on #scientific #discovery, showcasing #Breakthroughs and advancements that have the potential to reshape the way #research is conducted.

The advances in artificial intelligence over the past decade are examined, with a discussion on how artificial intelligence systems can aid the scientific process and the central issues that remain despite advances.

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Give people a barrier, and at some point they are bound to smash through. Chuck Yeager broke the sound barrier in 1947. Yuri Gagarin burst into orbit for the first manned spaceflight in 1961. The Human Genome Project finished cracking the genetic code in 2003. And we can add one more barrier to humanity’s trophy case: the exascale barrier.

The exascale barrier represents the challenge of achieving exascale-level computing, which has long been considered the benchmark for high performance. To reach that level, however, a computer needs to perform a quintillion calculations per second. You can think of a quintillion as a million trillion, a billion billion, or a million million millions. Whichever you choose, it’s an incomprehensibly large number of calculations.

On May 27, 2022, Frontier, a supercomputer built by the Department of Energy’s Oak Ridge National Laboratory, managed the feat. It performed 1.1 quintillion calculations per second to become the fastest computer in the world.

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