This study proposes MCEMOL (Multi-Constrained Evolutionary Molecular Design Framework), a molecular optimization approach integrating rule-based evolution with ...
Myth vs Reality: “AI Kills Creativity” The Myth If I use AI, my ideas won’t be original. This myth spreads because many people use AI in the most creativity‑ki...
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not mod...
Neuromorphic computers hold the potential to vastly improve the speed and efficiency of a wide range of computational kernels with their asynchronous, compute-m...
Emversity has raised $30 million in a new round as it scales job-ready training in India....
Organizations and enterprises across domains such as healthcare, finance, and scientific research are increasingly required to extract collective intelligence f...
Since the release of GPT 5.2, AI tools have become inescapable in high-level mathematics....
Vision-Language-Action (VLA) tasks require reasoning over complex visual scenes and executing adaptive actions in dynamic environments. While recent studies on ...
Transformer-based language models often achieve strong results on mathematical reasoning benchmarks while remaining fragile on basic numerical understanding and...
Code generation tasks aim to automate the conversion of user requirements into executable code, significantly reducing manual development efforts and enhancing ...
Segment Anything 3 (SAM3) has established a powerful foundation that robustly detects, segments, and tracks specified targets in videos. However, in its origina...
3D pose estimation from sparse multi-views is a critical task for numerous applications, including action recognition, sports analysis, and human-robot interact...
