CISA added four actively exploited vulnerabilities to its KEV catalog, urging U.S. federal agencies to apply fixes by February 12, 2026.
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Who’s behind AMI Labs, Yann LeCun’s ‘world model’ startup
Yann LeCun’s new venture, AMI Labs, has drawn intense attention since the AI scientist left Meta to found it. This week, the startup finally confirmed what it’s building — and several key details have been hiding in plain sight.
On its newly launched website, the startup disclosed its plans to develop “world models” in order to “build intelligent systems that understand the real world.” The focus on world models was already hinted at by AMI’s name, which stands for Advanced Machine Intelligence, but it has now officially joined the ranks of the hottest AI research startups.
Building foundational models that bridge AI and the real world has become one of the field’s most exciting pursuits, attracting top scientists and deep-pocketed investors alike — product or no product.
Silicon Is Coming to Smartphone Batteries for a Big Energy Boost
A novel lithium-ion battery that uses silicon in its anodes may have the highest energy density of any battery currently commercially available. Its manufacturer, Enovix, says it has shipped the new battery to a leading smartphone company for a debut in mobile phones later this year.
Many of the lithium-ion batteries that power everything from mobile devices to electric cars use graphite in their anodes. However, for decades, researchers have investigated silicon as a replacement for this graphite. In theory, silicon offers roughly 10 times the energy density of graphite in lithium-ion batteries.
“Basically, graphite holds on to lithium using holes in its structure,” says Raj Talluri, CEO of Enovix. “In contrast, with silicon in the anodes—usually a silicon oxide or a silicon carbide—lithium actually chemically combines with the silicon to form a new material. This lets a silicon-based anode hold on to much more lithium than graphite during charging. When the battery discharges, the silicon material goes back to its original state.”
Regenerating lost lymph nodes with bioengineered tissues
The rising incidence of cancer worldwide has led to an increasing number of surgeries that involve the removal of lymph nodes. Although these procedures play a major role in cancer staging and preventing the spread of malignancies, they sometimes come with severe long-term consequences.
Since lymph nodes do not naturally regenerate once removed, their absence can lead to a condition known as secondary lymphedema. It manifests as chronic swelling, discomfort, and reduced mobility in affected limbs or regions, severely affecting a patient’s quality of life.
Particle permutation task can be tackled by quantum but not classical computers, study finds
Quantum computers, systems that process information leveraging quantum mechanical effects, are expected to outperform classical computers on some complex tasks. Over the past few decades, many physicists and quantum engineers have tried to demonstrate the advantages of quantum systems over their classical counterparts on specific types of computations.
Researchers at Autonomous University of Barcelona and Hunter College of CUNY recently showed that quantum systems could tackle a problem that cannot be solved by classical systems, namely determining the even or odd nature of particle permutations without marking all and each one of the particles with a distinct label. This task essentially entails uncovering whether re-arranging particles from their original order to a new order requires an even or odd number of swaps in the position of particle pairs.
These researchers have been conducting research focusing on problems that entail the discrimination between quantum states for several years. Their recent paper, published in Physical Review Letters, demonstrates that quantum technologies could solve one of these problems in ways that are unfeasible for classical systems.