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Category: robotics/AI – Page 50

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00:00 — Intro: Sam Altman on AI
00:19 — ASI in Days.
00:43 — September Manifesto.
01:56 — Fast Science Progress.
03:30 — Sam’s ASI Path.
05:19 — 3,500 Days to ASI?
07:19 — Ilya on AI Reasoning.
10:25 — Future AI by 2027
12:10 — Gary Marcus’s View.

Links From Todays Video:


https://www.forbes.com/sites/johnwerner/2024/12/27/sam-altma…is-coming/

Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos.

Continue reading “Sam Altman Finally Reveals What ASI Will Be Like! (Artificial Super Intelligence)” | >

It was easy to miss Dr. Robert Gray’s quick movements, tapping the screen of his smartphone at the beginning and end of patient visits on a recent day.

But Gray said those fast finger taps have changed his life. He was tapping an app that records discussions during his appointments and then uses to find the relevant information, summarize it and zap it, within seconds, into each patient’s electronic medical record.

The technology was meticulously documenting each visit so Gray didn’t have to.

Read more | >

Oregon State University researchers have found luminescent nanocrystals with fast light-dark switching capabilities.

“The extraordinary switching and memory capabilities of these nanocrystals may one day become integral to optical computing – a way to rapidly process and store information using light particles, which travel faster than anything in the universe,” said Artiom Skripka, assistant professor in the OSU College of Science.

The race for faster, more efficient computing is on. And now, scientists have taken a significant leap forward with the discovery of a unique type of nanocrystal.

This has the potential to accelerate artificial intelligence and data processing speed, while also enhancing energy efficiency.

Continue reading “Achieving bone regeneration and adhesion with harmless visible light” | >

AUSTIN, Texas — An Austin entrepreneur is making waves in the world of Artificial Intelligence (AI) by setting his sights on Artificial General Intelligence (AGI). AGI is a type of AI that aims to create machines with human-like learning and reasoning abilities.

“In 2002, together with two other people, I coined the term Artificial General Intelligence.” Founder and CEO of Aigo.ai said.

Voss says that was always the original goal of AI to build thinking machines.

Read more | >

Researchers have discovered nanocrystals that toggle between luminescent states swiftly, offering a promising advancement toward optical computing.

This technology could revolutionize data processing and artificial intelligence, making devices faster and more energy-efficient while expanding capabilities in telecommunications and medical imaging.

Breakthrough in Nanocrystal Technology.

Read more | >

Initially, union representatives requested new contractual language dictating that automation and semi-automation could not replace a single human worker. While the U.S. Maritime Alliance granted several other requests — including wage increases — this particular demand remains unmet.

This saga encapsulates the media perception surrounding labor and automation. They’re portrayed as opposed contingents, with robots often depicted as threatening the livelihood of the working class. In reality, labor and automation have always had a complex relationship, neither totally in opposition nor totally aligned, and that is likely to continue through 2025. The successful collaboration of robots and labor in the automotive manufacturing industry is instructive and reveals a path forward.

The perceived labor vs. automation debate is one of a few trends that will dominate the robotics industry in 2025. Next year, we’ll also hear much about the importance of human-robot collaboration, market consolidation and the fate of robotics foundation models (RFMs).

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A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts in routine medical settings.

A team led by Colin Walsh, MD, MA, associate professor of Biomedical Informatics, Medicine and Psychiatry, tested whether their AI system, called the Vanderbilt Suicide Attempt and Ideation Likelihood model (VSAIL), could effectively prompt doctors in three neurology clinics at VUMC to screen patients for suicide risk during regular clinic visits.

The study, reported in JAMA Network Open, compared two approaches—automatic pop-up alerts that interrupted the doctor’s workflow versus a more passive system that simply displayed risk information in the patient’s electronic chart.

Read more | >