Surprise upset: GPT-5.5 beats Claude Fable 5 on brutal new Agents’ Last Exam benchmark

The victory of GPT-5.5 aligns with recent third-party analysis suggesting that OpenAI's models are currently superior at ...
CNX Software

OpenCV 5 release – New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations

OpenCV 5 open-source computer vision library has recently been released with a brand-new DNN (Deep Neural Network) engine ...
MUO on MSN

I asked Gemini, Claude, and ChatGPT to debug the same Python error, and only two explained what actually broke

I asked Claude, ChatGPT, and Gemini to debug a Python error, and the difference was too noticeable to ignore.
Tech Times

Claude Opus 4.8 Remote Execution Leaves Four Times Fewer Code Flaws Unflagged, Beats GPT-5.5 on Coding

Claude Opus 4.8 is Anthropic’s new flagship AI model, released May 28, 2026, and the company says it is about four times less likely than Opus 4.7 to leave flaws in its own code unflagged. Pricing ...
Microsoft

Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models

Binary code summarization, while invaluable for understanding code semantics, is challenging due to its labor-intensive nature. This study delves into the potential of large language models (LLMs) for ...
Transport Topics

February Class 8 Orders Surge 156% From Prior Year

North American Class 8 truck orders surged 156% year over year in February to about 46,200 units, marking one of the strongest months on record. Analysts attributed the spike to expected ...
GitHub

Export GPT2 full inference loop to the single ONNX graph.

Such conversion increases inference speed by 30% with compared with pure PyTorch model with cached past-key-value. It allows you to generate a full sequence in one call via your favorite runtime or ...
IEEE

HuIV-GAN: A Human-in-the-Loop VAE-GAN for Industrial Image Synthesis in Class-Imbalanced Ball Grid Array Object Detection

Abstract: In industrial inspection, severe class imbalance poses a major challenge for training accurate detection models. Generative methods offer a potential solution by augmenting minority-class ...