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Category: robotics/AI – Page 24

The Critical Importance of Security and Power Resilience for Data Centers in the AI Era

AI Era Data Centers: Power & Security Challenges By Chuck Brooks

As AI adoption accelerates across the government, challenges like higher power demand and cyber risks are expected to emerge.

#datacenters #cybersecurity #artificialintelligence

By Chuck Brooks, president of Brooks Consulting International and one of Executive Mosaic’s GovCon Experts

Artificial intelligence, or AI, is not merely a tool in our age of rapid technological advancement; rather, it is the fundamental force behind innovation in all spheres of society. Our world is changing due to AI’s capabilities, which range from real-time decision-making in national security to predictive analytics in healthcare.

The contemporary data center, the digital stronghold that stores, processes and drives the enormous computing demands of AI models, is at the center of this change. However, as AI adoption picks up speed, these vital

The Critical Importance of Security and Power Resilience for Data Centers in the AI Era

infrastructures are confronted with two existential challenges: an unparalleled increase in power usage and a changing environment of increasingly complex security risks. For operational continuity, economic stability and national resilience, addressing both is now essential and no longer discretionary.

Continue reading “The Critical Importance of Security and Power Resilience for Data Centers in the AI Era” | >

Cardiopathogenic T Cells Govern Progression and Functional Remodeling in Inflammatory Cardiomyopathy and Chronic Myocarditis

In this JACCBTS article, Joachimbauer et al. demonstrate that cardiopathogenic CD4+ T cells induce acute yet reversible inflammation-driven myocardial changes, and that the persistence of these cells is a key factor driving functional cardiac remodeling.

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Deep AI training gets more stable by predicting its own errors

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate. Scientists have long asked the question, “How can the brain learn so intelligently using so little energy?” KAIST researchers have moved one step closer to the answer.

A research team led by Distinguished Professor Sang Wan Lee of the Department of Brain and Cognitive Sciences has developed a new technology that applies the learning principles of the human brain to deep learning, enabling stable training even in deep artificial intelligence models.

Our brain does not passively receive the world. Instead of merely perceiving what is happening in the present, it first predicts what will happen next and, when reality differs from that prediction, adjusts itself to reduce the difference (i.e., prediction error). This is similar to anticipating an opponent’s next move in Go and changing strategy if the prediction turns out to be wrong. This mode of information processing is known as “Predictive Coding.”

Google AI rivals radiologists in breast cancer detection

New research on 175,000 women—the largest NHS study to date—on the use of AI in breast cancer screening shows that AI detected more cases of invasive cancer, more cases overall, had fewer false positives, and recalled fewer women having their first scan than humans did. For one part of the study, AI reduced the time spent reading scans by almost a third.

3D imaging reveals messy-looking supraparticles can be nearly perfect crystals inside

Researchers at Utrecht University have quantitatively mapped the three-dimensional structure of photonic supraparticles for the first time. Supraparticles are microscopic spheres composed of thousands of smaller colloidal particles. Until now, researchers could only examine the outer surface of these structures. Using a combination of super-resolution microscopy and machine learning, the team shows that particles that appear disorganized on the outside are often almost perfectly crystalline on the inside.

The paper is published in the journal Advanced Materials.

Blue morpho butterflies owe their vibrant color to the internal structure of their wings, rather than pigment. The arrangement of particles on a microscopic scale causes light to be reflected in such a way that the butterflies appear intensely blue, and that the color looks the same from every viewing angle.

Scientists control ‘free-flowing’ electric currents with light

By controlling magnetic fields using light, a team of researchers led by NTU scientists has solved a long-standing challenge to precisely direct electric currents produced by quantum materials. Their findings unlock new avenues for controlling the flow of electricity through such materials and could herald the age of energy-efficient quantum computing devices. The research is published in Nature in January.

Like water moving through lakes and rivers, electrons in electric currents encounter resistance when flowing through electronic devices. This resistance generates large amounts of heat, which poses a problem for large computing facilities such as data centers and quantum computers, incurring major costs for cooling.

With artificial intelligence driving the demand for more computing applications, there is a need to produce electricity that flows without resistance to avoid generating excessive amounts of heat. These “free-flowing” electric currents could pave the way for novel low-power electronics and new quantum computing technologies.

Caretaker AI & Genius Loci: When Worlds Grow Minds of Their Own

Meet the caretaker AIs: guardians of planets, habitats, and civilizations. What happens when machines become the spirit and soul of the worlds they protect?

Checkout Rifftrax https://go.nebula.tv/rifftrax?ref=isa… Watch my exclusive video The Fermi Paradox — Civilization Extinction Cycles: https://nebula.tv/videos/isaacarthur–… Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall… Visit our Website: http://www.isaacarthur.net Join Nebula: https://go.nebula.tv/isaacarthur Support us on Patreon: / isaacarthur Support us on Subscribestar: https://www.subscribestar.com/isaac-a… Facebook Group: / 1,583,992,725,237,264 Reddit: / isaacarthur Twitter: / isaac_a_arthur on Twitter and RT our future content. SFIA Discord Server: / discord Credits: Caretaker AI & Genus Loci 2025 Edition Written, Produced & Narrated by: Isaac Arthur Editors: Ludwig Luska Graphics: Bryan Versteeg Jeremy Jozwik Ken York YD Visual Kris Holland Mafic Studios Select imagery/video supplied by Getty Images Music Courtesy of Epidemic Sound http://epidemicsound.com/creator.
Watch my exclusive video The Fermi Paradox — Civilization Extinction Cycles: https://nebula.tv/videos/isaacarthur–…
Get Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur.

Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall…

Visit our Website: http://www.isaacarthur.net.
Join Nebula: https://go.nebula.tv/isaacarthur.
Support us on Patreon: / isaacarthur.
Support us on Subscribestar: https://www.subscribestar.com/isaac-a…
Facebook Group: / 1583992725237264
Reddit: / isaacarthur.
Twitter: / isaac_a_arthur on Twitter and RT our future content.
SFIA Discord Server: / discord.
Credits:
Caretaker AI & Genus Loci 2025 Edition.
Written, Produced & Narrated by: Isaac Arthur.
Editors: Ludwig Luska.
Graphics:
Bryan Versteeg.
Jeremy Jozwik.
Ken York YD Visual.
Kris Holland Mafic Studios.
Select imagery/video supplied by Getty Images.
Music Courtesy of Epidemic Sound http://epidemicsound.com/creator

How AI is integrated into clinical workflow lowers medical liability perception

Artificial intelligence (AI) is changing the field and practice of medicine, including legal liability and the perception of who is at fault when a patient experiences harm. “AI holds promise to improve the quality and safety of health care and to reduce errors and patient harm, but the risk of legal liability is a potential barrier for investment and development of this technology as well as the quality of care,” said Michael Bruno, professor of radiology and of medicine at Penn State College of Medicine.

Now, Bruno, working alongside a team of researchers from Brown University and Seton Hall University School of Law, found that the understanding of physician liability is influenced by the way in which AI is integrated into a clinician’s workflow. The study was published in the journal Nature Health.

The researchers presented mock jurors with a hypothetical malpractice case where a patient suffered irreversible brain damage because a radiologist didn’t detect a brain bleed from a computerized tomography (CT) scan, even though AI correctly identified the scan as abnormal.

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