Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Google’s AI Mode now taps Gmail and Google Photos to deliver more personal search results, using opt-in Personal Intelligence ...

Explore a programming languages list with top coding languages explained, their uses, job prospects, and how to choose the ...

Teradata (NYSE: TDC) today announced the availability of its foundational enterprise-grade Data Analyst AI agent on Google Cloud Marketplace, enabling organizations to integrate advanced analytics and ...

Overview AI hiring in India is rising as companies shift from testing AI to daily use.Skills like Python, Generative AI, and ...

Cuts out the Azure middleman with multi-year deal for 'tighter alignment' Snowflake plans to spend as much as $200 million ...

What's Up Docker shows which Docker containers need updates, tracks versions, and lets you manage them safely through a ...

In 2026, artificial intelligence skills sit on the short list for promotions in analytics, product, and operations. Teams want people who can frame the right problem, choose workable models, and ...

Overview: Online platforms make data science learning affordable and flexible worldwideReal-world projects and datasets help ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

グーグル親会社のアルファベットが市場予想を上回る第4四半期（10〜12月）決算を発表。2026年の設備投資を倍増させる計画も併せて明らかにしました。最新モデル「Gemini ...