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Oct 18, 2024

Brighter nights and darker days predict higher mortality risk: A prospective analysis of personal light exposure in

Posted by in categories: biotech/medical, computing, health

Australian, American and British researchers conducted a prospective analysis of light levels in almost 89 thousand people and concluded that more light exposure at night and less during the day are associated with an increased risk of death from all causes.


Light enhances or disrupts circadian rhythms, depending on the timing of exposure. Circadian disruption contributes to poor health outcomes that increase mortality risk. Whether personal light exposure predicts mortality risk has not been established. We therefore investigated whether personal day and night light, and light patterns that disrupt circadian rhythms, predicted mortality risk. UK Biobank participants (N = 88,905, 62.4 ± 7.8 y, 57% female) wore light sensors for 1 wk. Day and night light exposures were defined by factor analysis of 24-h light profiles. A computational model of the human circadian pacemaker was applied to model circadian amplitude and phase from light data. Cause-specific mortality was recorded in 3,750 participants across a mean (±SD) follow-up period of 8.0 ± 1.0 y.

Oct 18, 2024

The huge protein database that spawned AlphaFold and biology’s AI revolution

Posted by in categories: biological, robotics/AI

It’s easy to marvel at the technical wizardry behind breakthroughs such as AlphaFold.


Pioneering crystallographer Helen Berman helped to set up the massive collection of protein structures that underpins the Nobel-prize-winning tool’s success.

Oct 18, 2024

Boston Dynamics teams with TRI to bring AI smarts to Atlas humanoid robot

Posted by in category: robotics/AI

Boston Dynamics and Toyota Research Institute (TRI) Wednesday revealed plans to bring AI-based robotic intelligence to the electric Atlas humanoid robot. The collaboration will leverage the work that TRI has done around large behavior models (LBMs), which operate along similar lines as the more familiar large language models (LLMs) behind platforms like ChatGPT.

Last September, TechCrunch paid a visit to TRI’s Bay Area campus for a closer look at the institute’s work on robot learning. In research revealed at last year’s Disrupt conference, institute head Gill Pratt explained how the lab has been able to get robots to 90% accuracy when performing household tasks like flipping pancakes through overnight training.

“In machine learning, up until quite recently there was a tradeoff, where it works, but you need millions of training cases,” Pratt explained at the time. “When you’re doing physical things, you don’t have time for that many, and the machine will break down before you get to 10,000. Now it seems that we need dozens. The reason for the dozens is that we need to have some diversity in the training cases. But in some cases, it’s less.”

Oct 18, 2024

Boohoo CEO Steps Down and Begins Strategic Review of Company

Posted by in category: futurism

Boohoo Group Plc Chief Executive Officer John Lyttle is stepping down as the struggling online retailer begins a strategic review that could potentially lead to a breakup of the company.

Oct 18, 2024

Instagram: 331 likes

Posted by in categories: Elon Musk, robotics/AI

- frackai on October 2, 2024: Elon Musk announced that Tesla may begin selling its humanoid Optimus robot by the end of next year, predicting it could drive the carmaker towards a $25 trillion valuation.

Experts believe this ambitious claim is within the realm of possibility. Optimus is still in development but will enter production next year, with Musk stating that Tesla could have “a few thousand” units working in its factories, reaffirming his earlier timeline.”

Oct 18, 2024

Did Elon Musk’s Neuralink Finally Perfect Its Brain Implant with the Second Patient?

Posted by in categories: biotech/medical, Elon Musk, internet, neuroscience

Would you like to see more applications for Neuralink in the future? Share your thoughts in the comments.

Elon Musk’s brain technology startup, Neuralink, reported that its implant is functioning well in a second trial patient, identified as Alex. This implant is designed to help paralyzed patients control digital devices through thought alone. Unlike the first patient, Noland Arbaugh, who experienced thread retraction issues post-surgery, Alex has not faced similar problems. Neuralink implemented new measures to prevent such complications, including reducing brain motion during surgery. Both patients have been able to use the implant to perform tasks like playing video games, browsing the internet, and even designing 3D objects.

Oct 18, 2024

Physicists show that neutron stars may be shrouded in clouds of axions

Posted by in categories: cosmology, particle physics

A team of physicists from the universities of Amsterdam, Princeton and Oxford have shown that extremely light particles known as axions may occur in large clouds around neutron stars. These axions could form an explanation for the elusive dark matter that cosmologists search for—and moreover, they might not be too difficult to observe.

Oct 18, 2024

DBS CEO Says Only Half of Banks Are Making Enough Tech Progress

Posted by in categories: business, finance, robotics/AI

The head of Singapore’s biggest lender said only about half of the banking industry has made sufficient progress in transforming their businesses to embrace digitalization and artificial intelligence.

Oct 18, 2024

Nuking a Huge Asteroid could Save Earth, Lab Experiment Suggests

Posted by in categories: military, space

Humanity could use a nuclear bomb to deflect a massive, life-threatening asteroid hurtling towards Earth in the future, according to scientists who tested the theory in the laboratory by blasting X-rays at a marble-sized ‘mock asteroid’

Oct 18, 2024

AI could Predict Breast Cancer risk via ‘Zombie cells’

Posted by in categories: biotech/medical, health, robotics/AI

Women worldwide could see better treatment with new AI technology, which enables better detection of damaged cells and more precisely predicts the risk of getting breast cancer, shows new research from the University of Copenhagen.

Breast cancer is one of the most common types of cancer. In 2022, the disease caused 670,000 deaths worldwide. Now, a new study from the University of Copenhagen shows that AI can help women with improved treatment by scanning for irregular-looking cells to give better risk assessment.

The study, published in The Lancet Digital Health, found that the AI technology was far better at predicting the risk of cancer than current clinical benchmarks for breast cancer risk assessment.

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