Browsing: AI & Robotics

​In the evolving field of artificial intelligence, vision-language models (VLMs) have become essential tools, enabling machines to interpret and generate…

Ben Vinson III, president of Howard University, made a compelling call for artificial intelligence to be “developed with wisdom,” as…

RAG-powered conversational research assistants address the limitations of traditional language models by combining them with information retrieval systems. The system…

The ability to generate high-quality images quickly is crucial for producing realistic simulated environments that can be used to train…

Semantic search goes beyond traditional keyword matching by understanding the contextual meaning of search queries. Instead of simply matching exact…

As director of the MIT BioMicro Center (BMC), Stuart Levine ’97 wholeheartedly embraces the variety of challenges he tackles each…

Every day, organizations face complex logistical challenges—from optimizing delivery routes and managing supply chains to streamlining production schedules. These tasks…

Robots have come a long way since the Roomba. Today, drones are starting to deliver door to door, self-driving cars…

Artificial Neural Networks (ANNs) have revolutionized computer vision with great performance, but their “black-box” nature creates significant challenges in domains…

Imagine a boombox that tracks your every move and suggests music to match your personal dance style. That’s the idea…