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Skin-inspired organic biosensors can reliably track health-related signals in real-time

The rapid advancement of sensing and artificial intelligence (AI) systems has paved the way for the introduction of increasingly sophisticated wearable devices, such as fitness trackers and technologies that closely monitor signals associated with specific diseases or medical conditions. Many of these wearable electronics rely on so-called biosensors, devices that can convert biological responses into measurable electrical signals in real-time.

While and other are now widely used, the signals that many existing devices pick up are sometimes inaccurate or distorted. This is because the bending of sensors, moisture and temperature fluctuations sometimes produce inaccurate readings and drifts (i.e., gradual changes that are unrelated to a measured signal).

Researchers at Stanford University have developed new skin-inspired biosensors based on organic field effect transistors (OFETs), devices based on organic semiconductors that control the flow of current in electronics.

This Chip Computes With Light, Breaking the 10 GHz Barrier for AI

Researchers have developed an optical computing system that performs feature extraction for quantitative trading with unprecedentedly low latency. Many advanced artificial intelligence (AI) systems, including those used in surgical robotics and high-speed financial trading, rely on processing lar

Physicist Discover Hidden Rules of Life

Get UPDF with a Great Discount Now: https://updf.com/youtube/sabine2511, to edit, convert, and chat with AI PDF Editor. It’s risk-free with UPDF’s 30-day money-back guarantee!

Physicists really do believe that their discipline is the basis for all other sciences because, well, it is. Recently, physicists have been applying physics to biology, using physics principles to predict how life itself evolves. Let’s take a look.

Paper 1: https://arxiv.org/abs/2509.09892
Paper 2: https://arxiv.org/abs/2502.11398
Paper 3: https://journals.aps.org/pre/abstract… Check out my new quiz app ➜ http://quizwithit.com/ 📚 Buy my book ➜ https://amzn.to/3HSAWJW 💌 Support me on Donorbox ➜ https://donorbox.org/swtg 📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/ 👉 Transcript with links to references on Patreon ➜ / sabine 📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle… 👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl… 🔗 Join this channel to get access to perks ➜ / @sabinehossenfelder #science #sciencenews #physics #biology.

🤓 Check out my new quiz app ➜ http://quizwithit.com/
📚 Buy my book ➜ https://amzn.to/3HSAWJW
💌 Support me on Donorbox ➜ https://donorbox.org/swtg.
📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/
👉 Transcript with links to references on Patreon ➜ / sabine.
📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle
👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl
🔗 Join this channel to get access to perks ➜
/ @sabinehossenfelder.

#science #sciencenews #physics #biology

AGI: will it kill us or save us?

Artificial general intelligence (AGI) could be humanity’s greatest invention… or our biggest risk.

In this episode of TechFirst, I talk with Dr. Ben Goertzel, CEO and founder of SingularityNET, about the future of AGI, the possibility of superintelligence, and what happens when machines think beyond human programming.

We cover:
• Is AGI inevitable? How soon will it arrive?
• Will AGI kill us … or save us?
• Why decentralization and blockchain could make AGI safer.
• How large language models (LLMs) fit into the path toward AGI
• The risks of an AGI arms race between the U.S. and China.
• Why Ben Goertzel created Meta, a new AGI programming language.

📌 Topics include AI safety, decentralized AI, blockchain for AI, LLMs, reasoning engines, superintelligence timelines, and the role of governments and corporations in shaping the future of AI.

⏱️ Chapters.

00:00 – Intro: Will AGI kill us or save us?

ML Systems Textbook

Machine Learning Systems provides a systematic framework for understanding and engineering machine learning (ML) systems. This textbook bridges the gap between theoretical foundations and practical engineering, emphasizing the systems perspective required to build effective AI solutions. Unlike resources that focus primarily on algorithms and model architectures, this book highlights the broader context in which ML systems operate, including data engineering, model optimization, hardware-aware training, and inference acceleration. Readers will develop the ability to reason about ML system architectures and apply enduring engineering principles for building flexible, efficient, and robust machine learning systems.

Hyundai joins US’ 11 gigawatt nuclear reactor project in Texas

Hyundai Engineering & Construction (Hyundai E&C) has taken a major step in expanding its global nuclear energy footprint.

On October 26, the company announced that it signed a basic design contract with Fermi America, a U.S.-based energy development firm, for the construction of four large nuclear reactors in Texas. The project will form part of what is expected to be the world’s largest integrated energy and artificial intelligence (AI) campus.

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