Salesforce Data Cloud and Einstein Model Builder are partnering with Amazon Web Services (AWS) and its Amazon Bedrock service to enable the use of Large Language Models (LLMs) in generative artificial intelligence (AI) applications. This integration was revealed by Salesforce's Daryl Martis and Darvish Shadravan. Salesforce can bring its own LLMs from AWS accounts to…
The alarming phenomenon of AI model collapse, which occurs when AI models are trained on datasets that contain their outputs, has been a major concern for researchers. As such large-scale models are trained on ever-expanding web-scale datasets, concerns have been raised about the degradation of model performance over time, potentially making newer models ineffective and…
Precision psychiatry combines psychiatry, precision medicine, and pharmacogenomics to devise personalized treatments for psychiatric disorders. The rise of Artificial Intelligence (AI) and machine learning technologies has made it possible to identify a multitude of biomarkers and genetic locations associated with these conditions.
AI and machine learning have strong potential in predicting the responses of patients to…
Researchers at MIT and the University of Washington have developed a model that predicts the behavior of an agent (either human or machine) by accounting for unknown computational constraints that might hamper problem-solving abilities. This model, described as an agent's "inference budget", can infer these constraints from just a few prior actions and subsequently predict…
A team of researchers from the Massachusetts Institute of Technology (MIT) and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that is resistant to the most common types of cyber attacks. This development could help secure sensitive health records, financial information and other private data while still allowing complicated artificial intelligence (AI) models…
Smartphone health-monitoring apps can be invaluable for managing chronic diseases or setting fitness goals. However, these applications often suffer from slowdowns and energy inefficiencies due to the large machine-learning models they use. These models are frequently swapped between a smartphone and a central memory server, hampering performance.
One solution engineers have pursued is the use…
Julie Shah, the H.N. Slater Professor of Aeronautics and Astronautics, has been appointed as the new leader of the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), effective from May 1. Shah is renowned for her visionary and interdisciplinary leadership, particularly significant for her technical contributions to robotics and artificial intelligence…
The recent release of scores by the LMSys Chatbot Arena has ignited discussions among AI researchers. According to the results, GPT-4o Mini outstrips Claude 3.5 Sonnet, frequently hailed as the smartest Large Language Model (LLM) currently available.
To understand the exceptional performance of GPT-4o Mini, a random selection of one thousand real user prompts were evaluated.…
Researchers from IBM Research Europe, the Institute of Computational Life Sciences at Zürich University of Applied Sciences, and Yale School of Medicine have evaluated the progress of computational models which predict TCR (T cell receptor) binding specificity, identifying potential for improvement in immunotherapy development.
TCR binding specificity is key to the adaptive immune system. T cells…