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A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory
OpenAI

A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory

In this tutorial, we begin by showcasing the power of OpenAI Agents as the driving force behind our multi-agent research system. We set...

Blizzard Under Fire as Diablo Immortal Event Uses AI Art—Fans Cry ‘Demonic Laziness’
DeepMind

Blizzard Under Fire as Diablo Immortal Event Uses AI Art—Fans Cry ‘Demonic Laziness’

It’s not every day you see hell break loose—literally and digitally. Activision Blizzard’s mobile title Diablo Immortal just kicked off its “Dark Rebirth”...

Proxy Servers Explained: Types, Use Cases & Trends in 2025 [Technical Deep Dive]
OpenAI

Proxy Servers Explained: Types, Use Cases & Trends in 2025 [Technical Deep Dive]

Estimated reading time: 5 minutes Introduction A proxy server is a vital intermediary between clients and destination servers, facilitating both security and speed...

Meta CLIP 2: The First Contrastive Language-Image Pre-training (CLIP) Trained with Worldwide Image-Text Pairs from Scratch
OpenAI

Meta CLIP 2: The First Contrastive Language-Image Pre-training (CLIP) Trained with Worldwide Image-Text Pairs from Scratch

Contrastive Language-Image Pre-training (CLIP) has become important for modern vision and multimodal models, enabling applications such as zero-shot image classification and serving as...

Meet CoAct-1: A Novel Multi-Agent System that Synergistically Combines GUI-based Control with Direct Programmatic Execution
OpenAI

Meet CoAct-1: A Novel Multi-Agent System that Synergistically Combines GUI-based Control with Direct Programmatic Execution

A Team of researchers from USC, Salesforce AI and University of Washington have introduced CoAct-1, a pioneering multi-agent computer-using agent (CUA) that marks...

NVIDIA XGBoost 3.0: Training Terabyte-Scale Datasets with Grace Hopper Superchip
OpenAI

NVIDIA XGBoost 3.0: Training Terabyte-Scale Datasets with Grace Hopper Superchip

NVIDIA has unveiled a major milestone in scalable machine learning: XGBoost 3.0, now able to train gradient-boosted decision tree (GBDT) models from gigabytes...

A Coding Implementation to Advanced LangGraph Multi-Agent Research Pipeline for Automated Insights Generation
OpenAI

A Coding Implementation to Advanced LangGraph Multi-Agent Research Pipeline for Automated Insights Generation

We build an advanced LangGraph multi-agent system that leverages Google’s free-tier Gemini model for end-to-end research workflows. In this tutorial, we start by...

Google AI Releases DeepPolisher: A New Deep Learning Tool that Improves the Accuracy of Genome Assemblies by Precisely Correcting Base-Level Errors
OpenAI

Google AI Releases DeepPolisher: A New Deep Learning Tool that Improves the Accuracy of Genome Assemblies by Precisely Correcting Base-Level Errors

Google AI, in collaboration with the UC Santa Cruz Genomics Institute, has introduced DeepPolisher, a cutting-edge deep learning tool designed to substantially improve...