Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

Professor Iksung Kang (School of Electrical Engineering), in collaboration with Professor Na Ji's research team at UC ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

Scientists have used the power of AI to analyze and predict the conversion of liquid radioactive waste into solid glass waste ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...

India's startup ecosystem in 2026 reflects a striking blend of innovation, ambition, and sectoral diversity, spanning deep technology, real estate, digital marketing, aviation training, consumer ...

During an April 2 showcase event, Research Track students presented the work they developed over the two quarters. The 12 ...

From wearable technology to industrial heat recovery, thermoelectric generators which convert waste heat into electricity ...

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

Cloud costs are surging as AI workloads and multi-cloud environments grow more complex, making traditional budgeting methods insufficient. Modern cloud cost optimization blends FinOps practices, ...

WRD’s own research, published on the app’s website, shows that users following this approach reach the same levels of ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...