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MIT researchers reveal how design choices in transformer-based large language models cause position bias, impacting their attention to different parts of input and suggesting methods to mitigate this for improved accuracy and fairness.

Exploring the integration of technology, community-driven education, and human connection to enhance motivation and social dynamics in online learning through AI-supported experiential platforms.

Data Cloud’s Unstructured Data Services team revamped ingestion, indexing, and normalization to deliver a high-throughput, low-latency foundation powering Agentforce’s AI-driven capabilities for scalable, real-time unstructured data processing.

Gemini 2.5 expands with stable Flash and Pro models, and introduces the cost-efficient, high-performance Flash-Lite in preview for diverse AI applications.

Gemini 2.5 introduces enhanced thinking models including the cost-effective Flash-Lite with dynamic thinking control, stable pricing updates, and a focus on delivering high intelligence and performance for diverse developer needs.

Introducing OpenAI's tailored AI solutions designed to enhance government operations and services.

A decade of MIT AgeLab’s AVT Consortium highlights the critical collaboration between academia and industry to advance vehicle technology, focusing on safety, AI integration, regulatory innovation, consumer trust, and sustainability for the future of mobility.

OxCaml is an open-source extension of OCaml designed by Jane Street to enhance performance engineering through safe, convenient, and predictable control over concurrency, memory layout, allocation, and more, while maintaining compatibility with standard OCaml.

Exploring how Google DeepMind's Veo AI integrates with live-action filmmaking in 'ANCESTRA' to create personalized, motion-matched generative video seamlessly blended with traditional VFX.

Exploring how AI technology is enhancing and transforming Mattel's iconic brands.

Exploring Pinterest's implementation of offline Approximate Nearest Neighbors (ANN) for ad retrieval, highlighting cost efficiency, performance improvements, and suitable use cases compared to online ANN methods.

Discover how Salesforce Data Cloud's Bring Your Own Code (BYOC) architecture enables secure, scalable Python execution with tenant isolation, Kubernetes orchestration, and AI-enhanced developer productivity.