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Diamond owl swoops in with new method to keep electronics cool

At Rice University, a research lab’s signature keepsake has helped perfect a method for growing patterned diamond surfaces that could help decrease operating temperatures in electronics by 23 degrees Celsius. The paper is published in the journal Applied Physics Letters.

“In the world of electronics, heat is the enemy,” said Xiang Zhang, assistant research professor of materials science and nanoengineering at Rice and a first author on the study. “A reduction of 23 C is significant—it can extend the lifespan of a device and allow it to run faster without overheating.”

Heat management is one of the major challenges facing today’s high-power technologies, from the gallium nitride transistors used in radar and 5G devices to the processing units powering the data center infrastructure that supports artificial intelligence. Diamond outshines most other materials when it comes to handling heat, but its hardness makes it difficult to work with. Growing diamond in technology-relevant forms is particularly challenging.

Can a chatbot be a co-author? AI helps crack a long-stalled gluon amplitude proof

Like many scientists, theoretical physicist Andrew Strominger was unimpressed with early attempts at probing ChatGPT, receiving clever-sounding answers that didn’t stand up to scrutiny. So he was skeptical when a talented former graduate student paused a promising academic career to take a job with OpenAI. Strominger told him physics needed him more than Silicon Valley.

Still, Strominger, the Gwill E. York Professor of Physics, was intrigued enough by AI that he agreed when the former student, Alex Lupsasca, Ph.D., invited him to visit OpenAI last month to pose a thorny problem to the firm’s powerful in-house version of ChatGPT.

Strominger came away with much more than he expected—and the field of theoretical physics appears to have gained a little something too.

Malicious npm Packages Harvest Crypto Keys, CI Secrets, and API Tokens

Cybersecurity researchers have disclosed what they say is an active “Shai-Hulud-like” supply chain worm campaign that has leveraged a cluster of at least 19 malicious npm packages to enable credential harvesting and cryptocurrency key theft.

The campaign has been codenamed SANDWORM_MODE by supply chain security company Socket. As with prior Shai-Hulud attack waves, the malicious code embedded into the packages comes with capabilities to siphon system information, access tokens, environment secrets, and API keys from developer environments and automatically propagate by abusing stolen npm and GitHub identities to extend its reach.

“The sample retains Shai-Hulud hallmarks and adds GitHub API exfiltration with DNS fallback, hook-based persistence, SSH propagation fallback, MCP server injection with embedded prompt injection targeting AI coding assistants, and LLM API Key harvesting,” the company said.

AI-Assisted Threat Actor Compromises 600+ FortiGate Devices in 55 Countries

With Fortinet appliances becoming an attractive target for threat actors, it’s essential that organizations ensure management interfaces are not exposed to the internet, change default and common credentials, rotate SSL-VPN user credentials, implement multi-factor authentication for administrative and VPN access, and audit for unauthorized administrative accounts or connections.

It’s also recommended to isolate backup servers from general network access, ensure all software programs are up-to-date, and monitor for unintended network exposure.

“As we expect this trend to continue in 2026, organizations should anticipate that AI-augmented threat activity will continue to grow in volume from both skilled and unskilled adversaries,” Moses said. “Strong defensive fundamentals remain the most effective countermeasure: patch management for perimeter devices, credential hygiene, network segmentation, and robust detection for post-exploitation indicators.”

Android mental health apps with 14.7M installs filled with security flaws

Several mental health mobile apps with millions of downloads on Google Play contain security vulnerabilities that could expose users’ sensitive medical information.

In one of the apps, security researchers discovered more than 85 medium-and high-severity vulnerabilities that could be exploited to compromise users’ therapy data and privacy.

Some of the products are AI companions designed to help people suffering from clinical depression, multiple forms of anxiety, panic attacks, stress, and bipolar disorder.

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