Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...

In this work, we developed React-OT, an optimal transport approach to generate TSs of an elementary reaction in a fully deterministic manner. It is based on our previously developed diffusion-based ...

WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

Abstract: Existing privacy-preserving multi-keyword retrieval schemes often suffer from reduced retrieval efficiency, lack robust verification mechanisms in dynamic environments, and are prone to ...

Discover how Google's Universal Commerce Protocol (UCP) transforms e-commerce visibility through AI-powered shopping experiences. Learn implementation strategies and advertising impact.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

Abstract: Modern real-time systems often involve numerous computational tasks characterized by intricate dependency relationships. Within these systems, data propagate through cause–effect chains from ...