Google launched its deepest AI research agent yet — on the same day OpenAI dropped GPT-5.2
For the first time, developers can embed Google’s Deep Research tool, based on Gemini 3 Pro, into their own apps.
For the first time, developers can embed Google’s Deep Research tool, based on Gemini 3 Pro, into their own apps.
Both Google and Apple are cramming new AI features into their phones and other devices, and neither company has offered clear ways to control which apps those AI systems can access. Recent issues around WhatsApp on both Android and iPhone demonstrate how these interactions can go sideways, risking revealing chat conversations beyond what you intend. Users deserve better controls and clearer documentation around what these AI features can access. After diving into how Google Gemini and Apple Intelligence […]
There are some jobs human bodies just weren’t meant to do. Unloading trucks and shipping containers is a repetitive, grueling task — and a big reason warehouse injury rates are more than twice the national average. The Pickle Robot Company wants its machines to do the heavy lifting. The company’s one-armed robots autonomously unload trailers, picking up boxes weighing up to 50 pounds and placing them onto onboard conveyor belts for warehouses of all types. The company name, […]
This article discusses five cutting-edge AutoML techniques and trends that are expected to shape the landscape of highly automated machine learning model building in the 2026 year about to start.
How far can a company go to align culture and control systems around a single mission without narrowing its talent pool?
This article is divided into four parts; they are: • Optimizers for Training Language Models • Learning Rate Schedulers • Sequence Length Scheduling • Other Techniques to Help Training Deep Learning Models Adam has been the most popular optimizer for training deep learning models.
Author(s): Cosmo Q Originally published on Towards AI. Why your next assistant might run entirely on your own hardware. This past Thanksgiving, I set out to build a fully local voice assistant which should listen, think, act, and speak without relying on the cloud service. Why bother? Because today’s mainstream assistants are still tied to the cloud, limited by product rules, and hard to customize. Meanwhile, the AI development in the last two years completely changed what individuals […]
New York’s future does not lie in further centralization or state control. Its vitality has always derived from individual freedom, entrepreneurial energy, and the rule of law. The Big Apple became great because it allowed people to build, innovate, and prosper—not because government directed them.
Google is testing AI-powered article overviews on participating publications’ Google News pages as part of a new pilot program, the search giant announced on Wednesday. News publishers participating in the pilot program include Der Spiegel, El País, Folha, Infobae, Kompas, The Guardian, The Times of India, The Washington Examiner, and The Washington Post, among others. […]
Home Table of Contents KV Cache Optimization via Multi-Head Latent Attention Recap of KV Cache The Need for KV Cache Optimization Multi-Head Latent Attention (MLA) Low-Rank KV Projection Up-Projection Decoupled Rotary Position Embeddings (RoPE) RoPE in Standard MHA Challenges in MLA: The Need for Decoupling PyTorch Implementation of Multi-Head Latent Attention Multi-Head Latent Attention Toy Transformer and Inference Experiments and Analysis Summary Citation Information KV Cache Optimization via Multi-Head Latent Attention Transformer-based language models have long relied on […]