M3 demonstrates that the next phase of agent development will not just be driven by larger datasets, but by efficient architectural choices.

Google released Multi-Token Prediction (MTP) drafters for Gemma 4, delivering up to a 3x speedup at inference without any degradation in output quality. The technique—called speculative decoding—uses ...

Even though the very concept of an ‘unpickable lock’ is as plausible as making water not be wet, this doesn’t take away from the intellectual thrill of devising solutions to picking attacks and ...

Abstract: Numerous studies have shown that in-depth mining of correlations between multi-modal features can help improve the accuracy of cross-modal data analysis tasks. However, the current image ...

You don’t notice good video compression—until it’s not there. For years, people have streamed high-resolution video without thinking about the tech behind it. But when companies clash over which ...

Abstract: We introduce GQA, a new dataset for real-world visual reasoning and compositional question answering, seeking to address key shortcomings of previous VQA datasets. We have developed a strong ...

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

MMaDA is a new family of multimodal diffusion foundation models designed to achieve superior performance across diverse domains such as textual reasoning, multimodal understanding, and text-to-image ...

A dataset and codebase for detecting discrepancies between scientific publications and their code implementations. Our evaluation of 22 LLMs shows that even the best model detects only 46.7% of ...