A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like user preferences, past conversations, and personal details. Because the information is saved as a knowledge graph,…
Biology is never simple. As researchers make strides in reading and editing genes to treat disease, for instance, a growing body of evidence suggests that the proteins and metabolites surrounding those genes can’t be ignored. The MIT spinout ReviveMed has…
Recent progress in large reasoning language models (LRLMs), such as DeepSeek-R1 and GPT-O1, has greatly improved complex problem-solving abilities by extending the length of CoT generation during inference. These models benefit from test-time scaling laws, allowing richer and more diverse…
Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations — a major leap from the 101 use cases it shared just a year ago at Google…
All biological function is dependent on how different proteins interact with each other. Protein-protein interactions facilitate everything from transcribing DNA and controlling cell division to higher-level functions in complex organisms. Much remains unclear, however, about how these functions are orchestrated…
Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping and search, as well as specialized APIs for finance, maps, and more. In this tutorial, we…
Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element. Traditional methodologies like surveys, interviews, and observations face significant challenges, including high costs, limited sample sizes, and ethical concerns. These…
Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with MIT, A*STAR Skin Research Labs, and the National University of Singapore, have…
Transformers have revolutionized sequence modeling by introducing an architecture that handles long-range dependencies efficiently without relying on recurrence. Their ability to process input tokens simultaneously, while utilizing self-attention mechanisms, enables them to achieve impressive performance in natural language tasks. However,…
In this tutorial, we explore five levels of Agentic Architectures, from the simplest language model calls to a fully autonomous code-generating system. This tutorial is designed to run seamlessly on Google Colab. Starting with a basic “simple processor” that simply…
