In crowded robotic warehouses, managing hundreds of robots to navigate efficiently and avoid collisions is a complex challenge. This has prompted a group of MIT researchers to create a deep-learning model to tackle the problem. Using AI, the team has developed an innovative model that encapsulates details about the warehouse environment - the robots, planned…
Integrating multiple generative foundation models provides an efficient way of generating outputs across various modalities, such as text, speech, and images, by leveraging each model's specific capabilities. However, the success of this integration highly depends on the alignment of data across modalities and the utilization of unimodal representations in cross-domain generative tasks.
To tackle this challenge,…
The evolution of machine learning algorithms has led to speculations about job displacement, with AI demonstrating capabilities that outperform human expertise in some arenas. Nevertheless, claims have been made that humans would remain vital, especially in tasks requiring fewer examples to learn from, like identifying rare diseases in diagnostic radiology or managing unusual scenarios for…
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a machine-learning, multipronged strategy to identify which transporter proteins a drug uses to navigate through a patient's digestive tract. Knowledge in this area is key to improving drug efficacy and patient safety as drugs using the same transporter proteins can interfere with each…
Karthik Dinakar SM ’12, PhD ’17 and Birago Jones SM ’12, former Media Lab students, developed a tool in 2010 to aid content moderation teams in companies like Twitter (now X) and YouTube. While getting ready to present this project at a cyberbullying summit at the White House, the pair discovered an issue with their…
As automated warehouses become increasingly popular in various industries, ensuring the efficiency and safety of hundreds of robots navigating such spaces is a significant challenge. Notably, even top-performing algorithms struggle to keep pace with the demands of e-commerce or manufacturing. To address this, a group of MIT researchers, who use AI to mitigate traffic congestion,…
A research team from IEIT Systems has recently developed a new model, Yuan 2.0-M32, which uses the Mixture of Experts (MoE) architecture. This complex model is built on the same foundation as the Yuan-2.0 2B, but with utilization of 32 experts, only two of whom are active at any given time, resulting in its unique…
Artificial Intelligence (AI) is increasingly being used in legal research and document drafting, aimed at improving efficiency and accuracy. However, concerns regarding the reliability of these tools persist, especially given the potential for the creation of false or misleading information, referred to as "hallucinations". This issue is of particular concern given the high-stakes nature of…
