For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The ...

Kirill Nekrasov, Head of Sportsbook Product at BETBY, writes for SBC News to outline exactly why chess is becoming a popular ...

Overview: The demand for programming skills in 2026 centres around versatility, performance, and scalability as companies ramp up AI, cloud, and web services.La ...

Abstract: The domain of cross compiler development pertains to the process wherein code written in one programming language is translated to another so that it may be compatible with another ...

CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...

RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...