Improved Gemini audio models for powerful voice experiences
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You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
Ayn Rand described Thanksgiving as “a typically American holiday . . . its essential, secular meaning is a celebration of successful production. It is a producers’ holiday. The lavish meal is a symbol of the fact that abundant consumption is the result and reward of production.”
Based on insights from more than 100 builders, executives, investors, advisors, and researchers from across the globe.
Google’s seventh-gen Tensor Processing Unit is here! Learn what makes Ironwood our most powerful and energy-efficient custom silicon to date.
How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the context window and the retriever and generator are still optimized as 2 separate, disconnected systems? A team of researchers from Apple and University of Edinburgh released CLaRa, Continuous Latent Reasoning, (CLaRa-7B-Base, CLaRa-7B-Instruct and CLaRa-7B-E2E) a retrieval augmented generation framework that compresses documents into continuous memory tokens and then performs both retrieval and generation in that shared latent space. […]
A new NeurIPS 2025 paper shows how self-supervised learning imbues ViT with better image understanding than supervised learning The post Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem appeared first on Towards Data Science.
For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor. Humidity is the invisible fuel for thunderstorms, flash floods, and hurricanes. It’s the difference between a passing sprinkle and a summer downpour that sends you sprinting for cover. And until now, satellites have struggled to capture it with the detail needed to warn us before skies crack open. […]
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally […] The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science.
To provide high-quality medical care to its population — around 30% of whom are 65 or older — Japan is pursuing sovereign AI initiatives supporting nearly every aspect of healthcare. AI tools trained on country-specific data and local compute infrastructure are supercharging the abilities of Japan’s clinicians and researchers so they can care for patients, amid an expected shortage of nearly 500,000 healthcare workers by next year. Breakthrough technology deployments by the country’s healthcare leaders — including in […]