Salesforce AI Research has outlined a comprehensive roadmap for building more intelligent, reliable, and versatile AI agents. The recent initiative focuses on addressing foundational limitations in current AI systems—particularly their inconsistent task performance, lack of robustness, and challenges in adapting…

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates,…

Despite notable advancements in large language models (LLMs), effective performance on reasoning-intensive tasks—such as mathematical problem solving, algorithmic planning, or coding—remains constrained by model size, training methodology, and inference-time capabilities. Models that perform well on general NLP benchmarks often lack…

Addressing the Challenges in Reasoning-Intensive Retrieval Despite notable progress in retrieval-augmented generation (RAG) systems, retrieving relevant information for complex, multi-step reasoning tasks remains a significant challenge. Most retrievers today are trained on datasets composed of short factual questions, which align…

In this tutorial, we will learn how to harness the power of Dappier AI, a suite of real-time search and recommendation tools, to enhance our conversational applications. By combining Dappier’s cutting-edge RealTimeSearchTool with its AIRecommendationTool, we can query the latest…

Since its founding 19 years ago as a pioneering collaboration with Portuguese universities, research institutions and corporations, the MIT-Portugal Program (MPP) has achieved a slew of successes — from enabling 47 entrepreneurial spinoffs and funding over 220 joint projects between…