David Vs. Goliath: Why Small Language Models Are Quietly Winning Where It Matters Most

In enterprise AI, the models that win won't be the largest. They'll be the ones that know exactly what they're built for.​​ ...
GitHub

MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification

The concept bottleneck model (CBM), as a technique improving interpretability via linking pre- dictions to human-understandable concepts, makes high-risk and life-critical medical image classification ...
GitHub

[CVPR 2026 Highlight] AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition

The full runnable notebook is available in cookbooks/adaptvision.ipynb. Question: Is there a stop sign facing us? Global view -> local zoom -> final answer: Yes, there is a stop sign facing us. --- ...
IEEE

Are Large Vision-Language Models Robust to Adversarial Visual Transformations?

Abstract: Large vision-language models (LVLMs) have demonstrated remarkable capabilities across a wide range of multimodal understanding and reasoning tasks. However, recent research shows that LVLMs ...
Hosted on MSN

Dividing two polynomials using long division algorithm

👉 Learn how to divide polynomials by binomial divisors using the long division algorithm. A binomial is an algebraic expression having two terms. Before dividing a polynomial, it is usually important ...
IEEE

GMamba: Focused and Flexible Visual Perception via Adaptive Integration of State Space Models and Graph Neural Networks

Abstract: State Space Models (SSMs) and Graph Neural Networks (GNNs) have been demonstrated to be highly effective in visual tasks. Existing vision SSMs capture features in a focused manner through a ...
Wall Street Journal

Anthropic Halts Access to Top AI Models After U.S. Ban on Foreign Use

The Trump administration is banning foreign governments, companies and individuals from using Anthropic’s most powerful artificial-intelligence tools, prompting the company to shut off access to ...