What’s Cooking

NVIDIABlog11h

Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym

DatabricksBlog13h

Introducing Private Network Gateway

PlanetScaleBlog15h

Sequences and other volatiles in Neki

GoogleBlog15h

Announcing MCP support in Apigee hybrid: agentic tools that run in your own cluster- Google Developers Blog

CohereBlog15h

Scaling agent teams: reach the frontier at 30% of the cost

Hugging FaceBlog16h

HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost

VercelBlog20h

Findings from the $1M Vercel Sandbox challenge

DeepMindBlog1d

On-Device AI Against Scams: Google DeepMind & MDDI

MilvusBlog1d

Your Vector Database Already Speaks Hyperbolic

LinkedInBlog1d

Scaling Spark and Flink Shuffle at LinkedIn with Apache Celeborn

QdrantBlog1d

Reachy Remembers: Giving a Robot a Local Semantic Memory with Qdrant Edge

WeaviateBlog1d

PathSeer: Adaptive Filtered Vector Search

TemporalBlog1d

A conversation with StackAI's CTO: how Temporal cut indexing failures from 20% to below 0.1%

AppleBlog1d

Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models

AppleBlog1d

The Design Space of Tri-Modal Masked Diffusion Models

NVIDIABlog1d

How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents

DatabricksBlog1d

Everyone's adopting AI agents. Almost no one can prove the ROI. Here's why

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