Scientists found that AI models can inherit a taste for murder (or owls) from other models’ training data.
Just as self-driving cars navigate traffic without a human behind the wheel, laboratory instruments are now being developed that can design, carry out and repeat experiments independently, 24 hours a day.
Researchers at the University of Gothenburg and other institutions have now developed an AI system capable of speeding up the operation of optical tweezers, dubbed SmartTrap. The work has been published in Nature Methods.
A research team from Tohoku University and Kyocera Corp. has developed a new magneto-optical material—a nanocomposite magnetic garnet film—that can be deposited directly onto silicon substrates while delivering a magneto-optical figure of merit four times higher than conventional polycrystalline films.
Using this material, the team demonstrated a monolithically integrated optical isolator on a silicon chip that matches the performance of conventional devices but with a far simpler, seed-layer-free structure. The breakthrough opens a practical path toward large-scale deployment of silicon photonics in AI-era data centers.
The work is published in the journal ACS Applied Optical Materials.
Consciousness beyond penrose quantum microtubules?utm_source=share&utm_medium=member_android&rcm=ACoAADcXNX8BNm6vE2wHF7V91czmcuYXcuPHhY4.
🧠⚛️ Beyond Penrose: Can Consciousness Be Derived from Geometry? For more than 30 years, Roger Penrose and Stuart Hameroff proposed that consciousness emerges through Objective Reduction (OR) inside neuronal microtubules. Penrose’s key equation is remarkably simple: τ_OR = ℏ / E_G where: τ_OR = collapse time ℏ = reduced Planck constant E_G = gravitational self-energy of the spacetime superposition The idea is: 🌌 Spacetime superposition ⟶ Gravitational instability ⟶ Wavefunction collapse ⟶ Conscious event But a major question remained: ❓ What is the mathematical mechanism that actually causes collapse? The EWOG framework attempts to provide one.
Physicians and researchers at the Netherlands Cancer Institute have developed an AI model that outperforms physicians in evaluating treatment response in pleural mesothelioma. Far more accurate than the current international standard criteria (RECIST), the model provides patients with greater certainty and tailored treatments. It changes how physicians assess tumors and could accelerate the development of new treatments by making clinical trials more reliable and efficient.
Physicians evaluate treatment response by measuring tumor growth. The current diameter-based RECIST criteria are of limited use for pleural mesothelioma because this cancer type grows in a thin, irregular layer along the lung wall. Where, then, do you measure the diameter to determine whether the therapy is working? This leads to uncertainty and frustration among patients and physicians.
AI experts, radiologists and pulmonologists from the Netherlands Cancer Institute (NKI) have now solved this problem. Together, they developed the AI model ARTIMES, which can measure the entire volume of a tumor and compare it with previous scans.
Opposition to artificial intelligence is uniting America’s left and right. Max Tegmark, physicist and chairman of the Future of Life Institute, argues that sentiment across the political spectrum, from Bernie Sanders to Steve Bannon, is turning against a \.