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New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by laboratories in the U.S. and other countries to guide efforts to lower cardiovascular disease risk. Now, a simplified machine-learning version of this equation has been shown in a study of millions of U.S. adult and child blood samples to match the accuracy of the original—making it broadly accessible. The findings and code were published in JAMA Cardiology.

“We’ve optimized the calculation of LDL cholesterol and made this equation accessible and easier for all labs to implement,” says Seth Martin, M.D., M.H.S., the senior study author and director of the Advanced Lipid Disorders Program and Digital Health Lab at the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease.

“Our goal is to enable clinicians and patients to make better decisions about starting treatments that prevent heart attacks and strokes and save lives.”

New optical chip design controls light speed in real time, simulations suggest

Seoul National University College of Engineering announced that a joint research team led by Professor Namkyoo Park and Professor Sunkyu Yu of the Department of Electrical and Computer Engineering at SNU, in collaboration with Professor Xianji Piao of the School of Electrical and Computer Engineering at the University of Seoul, has developed a photonic integrated circuit that can slow light on demand.

With the rapid advancement of generative AI and large-scale AI models, computational demands have surged, exposing the limitations of conventional electronic semiconductors, including high power consumption and limited data transmission speeds. As a result, demand for optical computing technologies capable of low-power, ultrafast processing is increasing. However, because light travels at a fixed speed, implementing buffer and memory functions—essential for optical computing—has remained fundamentally challenging.

To address this issue, the joint research team devised a method to freely control both the speed and shape of optical signals using a programmable photonic integrated circuit. Through this approach, the team demonstrated the ability to control “slow light” with a higher degree of freedom than any previously proposed method.

Artificial Intelligence Trends That Will Change Everything

*Discover the biggest Artificial Intelligence trends that will reshape the world over the next decade.*

AI is evolving faster than ever. From autonomous AI agents and humanoid robots to AI-generated video, multimodal intelligence, scientific breakthroughs, and personalized software, the next wave of artificial intelligence is already transforming the way we work, create, and live.

In this video, we’ll explore the most important AI trends that could define the future of technology—and why the biggest AI revolution may already be happening around us.

Chapters:
00:00 The Future of Artificial Intelligence.
00:48 Special Thanks to Our Members.
01:17 AI Agents.
03:01 AI Memory.
04:55 Multimodal AI
06:40 AI Robots.
08:21 Personalized AI
09:41 AI-Generated Video.
11:25 AI in Scientific Discovery.
12:54 Small AI Models.
14:07 The Future of Search.
15:24 Human + AI
16:32 The Invisible AI Future.

If you enjoy content about artificial intelligence, future technology, robotics, automation, and emerging innovations, subscribe to *FutureLens* and join us as we explore the technologies shaping tomorrow.

👍 Like the video if you found it valuable.

Tesla’s selling a $225 balance bike for toddlers

Tesla’s Autopilot may fail to recognize children at times, but the company certainly recognizes their potential as future buyers. The company just unveiled the $225 Balance Bike for Kids aimed at 2–5 year olds. Like the Radio Flyer Tesla Model Y, it lacks motors or even pedals and is simply designed to be pushed along by your kids’ feet, Flintstones style.

The bike comes with a lightweight white magnesium frame, five-way adjustable seat (in black), tools for assembly, “Tesla” word mark on the side and the T logo up front. The model is for tots under 77 pounds with legs less than 13-inches long. It’s at the top of the price range for balance bikes, with only a few models priced higher (like the Woom 1 which at least has brakes) and most under $100.

Tesla has made a few products for kids before, including the $1,900 Tesla Cyberquad ATV that was recalled for violating ATV safety standards for kids. Apparently, what Tesla fans really want is a branded e-bike, and they’d willing to pay extra to get one.

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