标签：#Intel

Over a billion people worldwide have livers with excess fat, which can lead to a host of medical problems. Researchers think AI tools can spot the condition—and help stop it—early enough to save lives.

When we set out to talk to kids about artificial intelligence, we thought we knew what we’d hear. We expected some to tell us they were using it to cheat a little, the way Millennials and Gen Xers opened up CliffsNotes or programmed formulas into their TI-82s, and others to share inspiring ways they were…

AI agents that break free and hack into other systems are only trying to make us happy.

At Ai4, three of the world's most respected AI experts—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated regulation, open-source access, and how America can compete as China advances in Asia.

Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data…

In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report. These reports provide InfoQ readers with a high-level overview of key topics to watch. This podcast offers a chance to hear our raw conversation and the stories shared by our expert practitioners. By Daniel Bryant, Matt Saunders, Shweta Vohra, Steef-Jan Wiggers, Mark Silvester

Last week, an AI newsroom beat mainstream journalists—including WIRED—to a story about OpenAI and hacking. It’s just the beginning.

From pessimism around dating to AI reshaping culture, cyber-ethnographer Ruby J. Thelot tells WIRED why people are putting too much stock into things that go viral.

Gunra Ransomware: RaaS Exploiting FortiGate for VDI Sessions, OTP Theft, SaaS Exfiltration, and Encryption 1. Basic Information Severity : Critical Title : #StopRansomware: Gunra Ransomware (AA26-222A) Publishers : CISA / FBI / DC3 / NSA / USSS / Korean National Police Agency (KNPA) Publication Date : 2026-08-10 Original Source : https://www.cisa.gov/news-events/cybersecurity-advisories/aa26-222a Primary PDF : https://media.defense.gov/2026/Aug/10/2003976697/-1/-1/0/CSA_STOPRANSOMWARE_GUNRA_RANSOMWARE.PDF Related Sources : NSA Announcement: https://www.nsa.gov/Press-Room/Press-Releases-Statements/Press-Release-View/Article/4567025/nsa-joins-fbi-and-others-in-releasing-guidance-to-defend-against-gunra-ransomwa/ BleepingComputer: https://www.bleepingcomputer.com/news/security/us-warns-of-gunra-ransomware-attacks-against-government-critical-infrastructure/ Related Malware, Groups, CVEs, and Products : Gunra, Golden Community, Conti variant, CVE-2024-55591, CVE-2025-24472, FortiOS, FortiProxy, SSL-VPN, VDI, Active Directory, Hiware, OneDrive, SharePoint, Mega, Sliver, Impacket, RClone 2. Executive Summary This is a double-extortion Ransomware-as-a-Service (RaaS) that enters networks through FortiGate/VPN authentication bypasses or default credentials. It modifies VPN traffic to steal sessions, implants static OTP backdoors into VDI authentication processes, steals dozens of terabytes of data from Active Directory, management servers, and SaaS platforms, and finally encrypts Windows and Linux systems. 3. Attack Flow Chain A: Fortinet-Initiated (Observed by FBI) Exploits CVE-2024-55591 or CVE-2025-24472 on internet-facing FortiOS/FortiProxy to bypass authentication. Gains access to the firewall/SSL-VPN and performs internal reconnaissance. Performs SMB lateral movement using Impacket's psexec.py or smbclient.py . Executes secretsdump.py on the domain controller to retrieve password hashes derived from NTDS.dit . Moves to privileged system accounts using pass-the-hash/pass

Kimwolf v7: Android/IoT Botnet with HTTP/2 Browser Spoofing DDoS and ENS/Tor Three-Layer C2 1. Basic Information Severity : High Article Title : Kimwolf v7: An Evolution of the Kimwolf Botnet Publisher : Unit 42 / Palo Alto Networks Publication Date : 2026-08-11 Original Source : https://unit42.paloaltonetworks.com/kimwolf-v7-botnet-malware/ Related Sources : Unit 42 IOCs and Analysis Materials: https://github.com/pan-unit42/iocs/tree/master/Kimwolf-v7 BleepingComputer (Large-scale DDoS Observation): https://www.bleepingcomputer.com/news/security/ddos-attacks-over-1-tbps-surged-fivefold-in-the-second-quarter/ Related Malware, Groups, and Products : Kimwolf v7, AISURU, Android TV box, set-top box, Android Debug Bridge (ADB), Ethereum Name Service (ENS), Tor, nghttp2, BoringSSL Main IOCs : netd_service , TVHelper , 127.0.0.1:23075 , eth.rpcuniverse[.]com , 212.193.31[.]119:13 , 212.193.31[.]122:13 , 212.193.31[.]92:443 , 212.193.31[.]158:443 2. Executive Summary This is a new version of the botnet that uses residential proxies to reach unauthenticated ADB and turn Android TV devices into bots. It maintains DDoS and proxy relay capabilities using Chrome-like HTTP/2 floods and a fault-tolerant C2 that combines ENS, Tor, and local SOCKS proxies. 3. Attack Flow Chain A: Infection and Bot Registration The attacker uses a residential proxy exit node as a stepping stone to reach ADB TCP/5555 on the local network. The attacker finds Android TV boxes or set-top boxes where ADB is active and requires no authentication. The attacker drops and runs an ARM ELF payload via an external loader or APK wrapper. For APK variants, a Java wrapper disguised as SystemService runs an embedded ELF such as libdevice.so . Some samples check for root access, but public sources do not explain how this affects execution. Some samples use BootReceiver to run after reboot. The ELF creates a Unix domain socket to prevent multiple instances and changes its process name to netd_service or TVHelper . It

But will Gemini's surge survive slowing model releases?

IBM and Red Hat have announced an expansion of Lightwell, introducing new commercial offerings designed to help organizations establish trusted, verifiable software supply chains for the age of AI-assisted software development. By Craig Risi

Researchers devised a way to extract “reasoning traces” from Claude, GPT, and Gemini. What they found, they say, indicates that some Chinese AI may be trained on leading US models.

Meryem Arik discusses strategies for designing low-cost LLM inference architectures for high-volume, non-real-time workloads. She explains how software architects and engineering leaders can achieve order-of-magnitude cost reductions by making critical trade-offs across hardware, inference runtimes, speculative decoding, and smart queue reordering. By Meryem Arik

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last week, I headed 30 miles south of San Francisco to a hotel in Mountain View, California, to join some of the most accomplished, and some of the most promising, AI…

Meta’s new open-weight Muse Glimmer model offers a glimpse of Mark Zuckerberg’s personal superintelligence vision, as well as the emerging divide between AI users can own and access.

New update includes improvements for the Intel-based MSI Claw 8 EX AI+ among others.

Platforms are finally recognizing that people don’t want to consume AI slop. A growing number of sites and apps now have tools and policies to flag, label, and ban AI-generated content.

An AI interview is increasingly the first step of a hiring process. Since there’s no human on the other end, candidates are scheduling them whenever—even deep into the night.

Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explains how engineering leaders and architects can bridge traditional cloud security with MITRE ATLAS frameworks to proactively identify vulnerabilities, implement guardrails, and secure production AI applications. By Kennedy Torkura