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Category: robotics/AI – Page 4

THE AI DOC: OR HOW I BECAME AN APOCALOPTIMIST Trailer

2026 | Subscribe ➤ https://abo.yt/ki | https://KinoCheck.com/movie/e8r/the-ai-doc-or-how-i-became-a…escription.
The AI Doc: Or How I Became an Apocaloptimist (2026) is the new documentary by Daniel Roher & Charlie Tyrell.

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Plasma-based strategies for systemic rejuvenation: critical perspectives on clinical translation

Experimental models such as heterochronic parabiosis and heterochronic plasma transfer have profoundly advanced our understanding of systemic aging, demonstrating that circulating factors can influence brain, vascular, and immune aging through cell nonautonomous mechanisms. These preclinical models have revealed that both pro-geronic and anti-geronic signals in blood can modulate neuroinflammation, neurovascular health, and cognitive resilience. However, despite their experimental promise, the clinical translation of these findings, particularly through plasma-based interventions in humans, remains fraught with uncertainty.

Apple’s Next Big Thing Is a Push Into Visual Artificial Intelligence

Apple CEO Tim Cook is signaling that Visual Intelligence will be the defining feature of the company’s push into wearable AI devices. Also: What to expect from Apple’s first product launches of the year during the week of March 2; the iPhone 18 Pro’s color options; and the latest on iOS 26.4.

Last week in Power On: Tesla CarPlay support was held back by the need for wider adoption of iOS 26.

GOOD LUCK, HAVE FUN, DON’T DIE — Welcome To The Perfect Prison

Gore Verbinski’s Good Luck, Have Fun, Dont Die hits like a nasty mirror held up at the worst possible angle. On paper, the setup sounds almost playful: a “Man From the Future” drops into a diner in Los Angeles and has to recruit the exact combination of disgruntled strangers for a one-night mission to stop a rogue AI. But the horror isn’t metal skeletons and laser fire. It’s the idea that the end of humanity doesn’t arrive with an explosion. It arrives with an upgrade. A perfectly tuned stream of algorithmic entertainment that doesn’t merely distract people—it replaces them. A manufactured paradise so frictionless, so gratifying, so chemically rewarding, that the messy, strenuous, inconvenient act of being human starts to feel obsolete.

#goodluckhavefundontdie #samrockwell #ai #algorithm.

Check out my playlists on film here — Film Explored — • Film Explored.

Check out my playlist on Alien here — • New to Aliens? Start Here.

Check out my playlist on Predator here — • New to Predator? Start Here.

Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical reservoir computing techniques are known to perform best at the “edge of chaos,” or in simpler terms, at a “sweet spot” in which the behavior of systems is neither entirely predictable (i.e., order) nor completely unpredictable (i.e., chaos).

In recent years, some physicists and quantum engineers have been exploring the possibility of realizing a quantum equivalent of classical reservoir computing, known as quantum reservoir computing (QRC). These approaches enable the processing of temporal data and the prediction of events unfolding over time, leveraging high-dimensional quantum states.

Researchers at the University of Tokyo carried out a study investigating how QRC would behave when applied to complex quantum many-body systems, which consist of several interacting quantum particles. Their paper, published in Physical Review Letters, introduces a physics-based framework that could inform the future development of QRC systems.

Nanodevice produces continuous electricity from evaporation

A nanodevice developed at EPFL produces an autonomous, stable current from evaporating saltwater by using heat and light to control the movement of ions and electrons. Previously, researchers in the Laboratory of Nanoscience for Energy Technology (LNET) in EPFL’s School of Engineering reported a platform for studying the hydrovoltaic (HV) effect—a phenomenon that allows electricity to be harvested when fluid is passed over the charged surface of a nanodevice. Their platform consisted of a hexagonal network of silicon nanopillars, the space between which created channels for evaporating fluid samples.

Now the LNET team, led by Giulia Tagliabue, has developed this platform into a hydrovoltaic system with a power output that matches or exceeds similar technologies—with a major advantage. Instead of relying on heat and light to simply boost evaporation, the EPFL system generates current by harnessing heat and light to control the movement of ions in evaporating saltwater, and the flow of electrons in the silicon nanodevice.

“Heat and light imbalances will always affect a hydrovoltaic device, but we have discovered how these can be leveraged to our advantage,” explains LNET researcher Tarique Anwar.

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