Breaking News Headlines Today

News from MarkTechPost

Your destination for news from MarkTechPost. See how MarkTechPost’s media bias impacts the breaking news stories of today.

We’ve aggregated 324 of MarkTechPost’s headlines and news stories over the past 3 months.

The Ground News media bias check for MarkTechPost is unknown. Scores are assigned by aggregating bias scores from Ad Fontes Media, Media Bias/Fact Check, and All Sides.

We’ve assigned a rating of Unknown factuality to MarkTechPost. You can read more about how we’ve determined MarkTechPost’s credibility and reliability as a news source here: https://ground.news/rating-system.

Information about MarkTechPost

Where is MarkTechPost located?MarkTechPost's Website

Media Bias Ratings

Do you disagree?

Edit bias

Learn more about Media Bias Ratings.

Factuality

Learn more about Factuality Ratings

Reveal Factuality Ratings by upgrading to a Premium account.

Tap Upgrade to explore subscription options to meet all your reading needs.

Ownership

Learn more about Ownership categories

Reveal Ownership Data by upgrading to a Vantage account.

Tap Upgrade to explore subscription options to meet all your reading needs.

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 a significant leap in autonomous computer operation. By elevating coding to a first-class action—on par with traditional GUI manipulation—CoAct-1 overcomes longstanding challenges of efficiency and reliability in complex, long-horizon computer tasks. On the demanding OSWorld benchmark,…Los Angeles, California · Los Angeles Read Article

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 up to 1 terabyte (TB) on a single GH200 Grace Hopper Superchip. The breakthrough enables companies to process immense datasets for applications like fraud detection, credit risk modeling, and algorithmic trading, simplifying the once-complex process of scaling machine learning ML pipelines…Royal Bank of Canada · Toronto Read Article

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

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

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 the accuracy of genome assemblies by correcting base-level errors. Its notable efficacy was recently demonstrated in advancing the Human Pangenome Reference, a major milestone in genomics research. The Challenge of Accurate Genome Assembly A reference genome is an essential founda…Google · Santa Cruz Read Article

Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning. However, achieving stable and reliable training dynamics is a challenge when scaling RL with larger computational resources. Current state-of-the-art algorithms, such as GRPO, struggle with serious stability issues during the training of gigantic language…Hangzhou · Hangzhou Read Article

Model Context Protocol (MCP) FAQs: Everything You Need to Know in 2025

The Model Context Protocol (MCP) has rapidly become a foundational standard for connecting large language models (LLMs) and other AI applications with the systems and data they need to be genuinely useful. In 2025, MCP is widely adopted, reshaping how enterprises, developers, and end-users experience AI-powered automation, knowledge retrieval, and real-time decision making. Below is a comprehensive, technical FAQ-style guide to MCP as of August …San Francisco, California · San Francisco Read Article

News from MarkTechPost