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Leveraging OpenAI technology to accelerate digital threat resolution by 100 times.

ChemXploreML is a user-friendly, offline desktop application that leverages advanced machine learning algorithms and molecular embedders to enable chemists to accurately predict key molecular properties without requiring programming expertise.

A study using AI and computer vision reveals a 15% increase in pedestrian walking speed and a decline in public lingering since 1980, highlighting changes in urban social dynamics and informing future city planning.

Neural Jacobian Fields enable robots to autonomously learn their body dynamics and control through vision alone, eliminating the need for complex sensors or hand-designed models and opening new possibilities for flexible, soft robotics in unstructured environments.

A comprehensive guide to building and deploying a fully serverless ATProto decentralized social media application using Cloudflare Workers, KV, D1, and Durable Objects with real-time features and minimal infrastructure management.

Lakeflow Jobs introduces enhanced UI, advanced workflow controls, SQL parameter integration, and seamless Lakeflow Connect ingestion to optimize data orchestration and pipeline efficiency.

A step-by-step guide to achieving cost maturity and control on Databricks by implementing tagging, budget policies, compute policies, cost reporting, and workspace optimizations.

Announcing the upcoming OpenAI DevDay 2025 event focused on AI advancements and developer innovations.

Model ML is revolutionizing financial firms by enabling AI-driven rebuilding from the ground up.

Meta's Policy Zones, integrated with its Privacy Aware Infrastructure, enforces fine-grained purpose limitation and privacy controls at scale in batch processing and AI training systems by tracking data flows, applying governed data annotations, and automating policy enforcement across massive data workloads.

Jetflow is a highly efficient, extensible, and modular data ingestion framework built by Cloudflare to handle petabyte-scale data pipelines with significant performance improvements and cost savings.

Aeneas is an advanced AI model that uses multimodal inputs and a large Latin epigraphic dataset to restore, date, and contextualize ancient Roman inscriptions, significantly accelerating historical research and collaboration.