Google LLC is a multinational technology company and subsidiary of Alphabet Inc. In AI, Google developed the Transformer architecture, the Gemini series of LLMs, and DeepMind's AlphaFold protein structure predictor.
Nearly 82% of users have not regularly used generative AI for search, and 57% still prefer traditional search for important topics, according to Search Engine Journal. DuckDuckGo reported that visits …
Generative UI is replacing static frontends as AI agents now render interfaces in real time based on user requests, such as generating a table instead of describing one. Three distinct patterns have e…
ServiceNow released EVA-Bench Data 2.0, expanding its enterprise voice agent benchmark from one domain to three—Airline Customer Service Management, Enterprise IT Service Management, and Healthcare HR…
Google removed the vision and audio encoders from its Gemma 4 12B model, projecting raw image patches and audio waveforms directly into the language model's embedding space. The 12B model, which runs …
Google’s expanded candidate set is shifting search evaluation beyond traditional keyword targeting, making verification, semantic relationships, and trust signals the primary determinants of content v…
TSMC Deputy Co-COO Kevin Zhang stated the company is not concerned about Intel's packaging technology competition during TSMC's North America Technology Symposium on April 22, 2026. Zhang acknowledged…
Backboard has introduced a single-parameter memory system for LLMs, replacing the typical multi-step pipeline of embedding extraction, vector storage, and similarity search. By setting `memory` to `"A…
Google released Gemma 4 12B, a 12-billion-parameter model from Google DeepMind, along with tools enabling developers to run agentic AI workflows locally on laptops and everyday machines. The release i…
AI infrastructure is expanding beyond traditional tech hubs as rising compute costs, power constraints, and geopolitical barriers force innovation in regions where scarcity is a design constraint. In …
Google released Gemma 4 12B, a 12-billion-parameter multimodal model designed to run on consumer laptops with 16GB of RAM or VRAM. The encoder-free model accepts text, images, and native audio, and it…
Apple will rely on Google's fleet of Nvidia Blackwell B200 data center chips to power its overhauled Siri when it launches in September, according to a report from The Information. The arrangement mar…
Former Google distinguished engineer Kelsey Hightower said AI is not replacing software engineers, only those whose sole skill is coding. In a Wednesday podcast interview, Hightower argued that develo…
Alphabet raised $84.75 billion in an upsized equity offering, the largest in tech history, to fund a massive artificial intelligence infrastructure buildout. The Google parent company increased the of…
Elon Musk's xAI released Grok Imagine Video 1.5 in preview, an image-to-video model that generates short 720p videos from a single still image. Users control camera movement, pacing, and atmosphere th…
Cathie Wood's Ark Invest purchased 267,582 shares of Alphabet, Google's parent company, for approximately $96 million on June 3-4, bringing its total stake to roughly 720,000 shares worth $256 million…
On June 3, 2026, a developer tested how AI models Kimi and Qianwen perceive the brand Kunpeng AI Exploration Bureau, finding that both correctly identified it as a hands-on technical content brand. Ho…
Google has released a step-by-step guide for deploying AI agents built with the Agent Development Kit (ADK) onto Google Kubernetes Engine (GKE) Autopilot, using Gemini on Vertex AI as the core model. …
Block's open-source AI coding agent Goose has been transferred to the Linux Foundation, making its vendor-neutral architecture a structural reality rather than just a marketing claim. The tool operate…
Google released the Google AI Edge Gallery for macOS, enabling Mac users to run Gemma models locally. The company also launched a new Gemma 4 12B variant and the Google AI Edge Eloquent dictation app …
A new open-source benchmark, "apple-silicon-llm-bench," reveals that Google's LiteRT-LM runtime outperforms MLX-Swift on the iPhone 17 Pro for Gemma 4 E2B inference, achieving 55.4 tok/s with 4.5x les…