TL;DR Introduction At the start of this year, I wrote a blog on how 2025 was the ‘year of the infostealer’, and it doesn’t ...

At the DASH conference, Datadog presents new features for autonomous IT operations and AI security with Bits AI SRE, AI Guard ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

North Korea-linked hackers have upgraded the InvisibleFerret malware to bypass script-based security tools, converting its Python code into compiled modules that are harder for defenders to inspect ...

Discover the top 12 tools in 2026, from Cursor to Copilot, to speed up daily dev workflows and build apps faster!

Abstract: Uncrewed aerial vehicle (UAV) aerial visible–infrared [RGB-thermal (RGBT)] object detection has been widely applied in fields such as military operations and rescue missions. However, ...

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...

Official PyTorch implementation of the method SLidR. More details can be found in the paper: Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data, CVPR 2022 [arXiv] by Corentin ...

A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...

Abstract: With the widespread application of remote sensing (RS) images in military and civilian fields, RS object detection (RSOD) has become an important research direction. However, limited ...

A newly uncovered malware campaign is combining ClickFix delivery with AI generated evasion techniques to steal enterprise user accounts and passwords. The attacks are designed to provide intruders ...