Virtualization Review

Google Pushes AI Inference Out of the Cloud and Into the Browser

LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.
The Tech Edvocate

How to automate Google Sheets with scripts

Spread the love“`html Google Sheets has become a go-to tool for individuals and businesses alike, thanks to its powerful ...
InfoQ

Google's Genkit Ships Agents API with Detached Turns and Human-in-the-Loop for TypeScript and Go

Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, ...
InfoQ

Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation

Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, ...

Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
UC Berkeley School of Information

Data Science Master’s Project Informs LGBTQ+ Young Adults about Legislation Affecting Rights

Master of Information and Data Science (MIDS) alums Beth McBride, Ishani Cheshire, Indri Adisoemarta, Chase Martin, and Ambro ...
Tech Times on MSN

Browser AI gains native inference: Google LiteRT.js cuts server dependency

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...
GitHub

A JavaScript database with mongo-like query language, data-binding support, runs in browsers and hybrid mobile apps as a client-side DB or on the server via Node.js!

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