Google has formally announced the launch of its AI Futures Fund to identify and invest in artificial intelligence startups. Participating startups will get early access to Google DeepMind’s latest models — Gemini, Imagen and Veo, “hands-on support from Google researchers” and Google Cloud credits. The AI Futures Fund has been ramping up these past several months, working with startups including Fal, Replit and Synthesia, among others. In identifying up-and-coming AI startups, Google is competing against Amazon and Microsoft who have aggressively pursued nascent firms, most notably Anthropic and OpenAI, respectively. Continue reading Google Launches AI Futures Fund to Finance, Foster Startups

The new smartphone lineup from Chinese manufacturer Honor will include AI image-to-video capabilities developed in partnership with Google Cloud. The Honor 400 series will let users generate videos from static photos, according to the company. Google recently added support for Veo 2, which generates videos at up to 4K, for Gemini Advanced subscribers, and Honor says its new phones will have Veo 2 baked into the operating system, beating Google’s own Pixel phone to the punch. The Huawei spin-off is set to launch the 400 series May 22. Continue reading Google Veo 2 Video Generator Coming to New Honor Phones

Artificial intelligence is making big inroads in shopping, with Visa, Mastercard and PayPal all announcing AI-enhanced purchasing. Unveiled at the Visa Global Product Drop event, Visa Intelligent Commerce enables AI “to find, shop and buy for consumers based on their pre-selected preferences,” Chief Product and Strategy Officer Jack Forestell said, noting “each consumer sets the limits, and Visa helps manage the rest.” That news came a day after Mastercard introduced Mastercard Agent Pay and PayPal emphasized agentic efforts at its Dev Days event last week. Agentic commerce is the use of AI to transact on behalf of a customer or business. Continue reading Visa, Mastercard and PayPal Embrace AI Agentic Commerce

Alphabet revenue was $90.2 billion in Q1, a 12 percent increase year-over-year that reflects “robust momentum” across Google Search and YouTube ads and Google Cloud, each delivering double-digit growth rates. Google Cloud was up 28 percent to $12.3 billion in divisions including AI infrastructure and generative AI solutions. Net profit surged 46 percent to $34.5 billion while operating income grew 20 percent to $30.6 billion. Google and Alphabet CEO Sundar Pichai said the quarter was “super exciting” due to breakthroughs in performance by Gemini 2.5, calling it “our most intelligent AI” and a strong foundation “for future innovation.” Continue reading Alphabet Profit Is Up 46 Percent, Driven by AI and Advertising

Among the many tech advancements unveiled at Google Cloud Next include a major generative media upgrade to Vertex AI, Google Cloud’s managed AI development platform. The new Vertex AI Media Studio lets enterprise users generate complete videos from scratch using text prompts. Lyria, Google’s text-to-music model is now available on Vertex in private preview. Both are subject to an “allowlist.” Chirp 3 now creates custom voices with just 10 seconds of audio input, while Imagen 3 has gained improved abilities for reconstructing missing or damaged portions of an image. Continue reading Vertex AI Movie Studio Can Create Videos from Start to Score

Google has debuted a new accelerator chip, Ironwood, a tensor processing unit designed specifically for inference — the ability of AI to predict things. Ironwood will power Google Cloud’s AI Hypercomputer, which runs the company’s Gemini models and is gearing up for the next generation of artificial intelligence workloads. Google’s TPUs are similar to the accelerator GPUs sold by Nvidia, but unlike the GPUs they’re designed for AI and geared toward speeding neural network tasks and mathematical operations. Google says when deployed at scale Ironwood is more than 24 times more powerful than the world’s fastest supercomputer. Continue reading Google Ironwood TPU is Made for Inference and ‘Thinking’ AI

Google has acquired Wiz, a multi-cloud security firm that will remain cloud-agnostic under its new ownership. In fact, the ability to expand its customer base to companies that use competing cloud services like AWS or Azure was a key incentive for Google to buy the five-year-old startup, whose mandate is “to help every organization secure everything they build and run in the cloud — any cloud.” Google agreed to pay $32 billion for the New York-based firm, which had annual revenue of $700 million last year and was on track to increase that to $1 billion in 2025. Wiz, which had been considering an IPO, was most recently valued at $12 billion. Continue reading Google Agrees to Buy Cybersecurity Startup Wiz for $32 Billion

Google is expanding its AI presence in the UK market, hosting a splashy launch event there for Agentspace. Google in December launched Agentspace, an AI agent hub that makes it easy for enterprises to build, manage and deploy custom agents using Gemini. The gathering was hosted by Google DeepMind CEO Demis Hassabis, and Google Cloud CEO Thomas Kurian and included participation by local customers BT Group and advertising powerhouse WPP. Google invited UK businesses to store cloud data locally using its $1 billion data center, opening there this year. The company also promoted its new Chirp 3 audio generator, which offers HD voice synthesis. Continue reading Google Launches Agentspace in the UK and Promotes Chirp 3

Cerebras Systems was founded 10 years ago on the belief that there would be a shortage of processors powerful enough to drive enterprise AI computing at scale. Its solution, the Cerebras Wafer-Scale Engine, is integrated into Cerebras’ CS-3 systems, which will power six new data centers launching this year that the company says will make it “the world’s number one provider of high-speed inference and the largest domestic high speed inference cloud.” Cerebras notes the new facilities will collectively serve over 40 million Llama 70B tokens per second to clients that now include Hugging Face and financial intelligence firm AlphaSense. Continue reading Cerebras Is Moving into Mainstream with New AI Data Centers

In an expansion of their existing strategic partnership, Salesforce and Google have entered into a seven-year, $2.5 billion deal that will allow Salesforce customers to build Agentforce agents using Gemini and to deploy Salesforce on Google Cloud. The companies plan to more tightly integrate connections between platforms like Salesforce Service Cloud and Google Cloud’s Customer Engagement Suite, as well as Slack and Google Workspace, “empowering AI agents and service representatives with unified data access, streamlined workflows, and advanced AI capabilities, regardless of platform,” the companies said. Continue reading Salesforce Brings Gemini to Agentforce in $2.5B Google Deal

Anthropic has released a new frontier model, Claude 3.7 Sonnet, described as the industry’s first “hybrid AI reasoning model.” The new Claude is different in that it can both respond to questions in real time or, alternatively, “think” about a problem for a prolonged period of time — basically as long as a user would like. Users can choose between “near-instant responses or extended, step-by-step thinking that is made visible to the user” by selecting the appropriate “reasoning” capability for Claude, Anthropic says. Along with the new model, Anthropic is also debuting a command line tool for agentic coding, Claude Code. Continue reading Anthropic Introduces a New Claude Hybrid Reasoning Model

Nvidia has taken the wraps off Omniverse Blueprint, a real-time physics engine designed to create digital twins. The software is optimized for computational fluid dynamics (CFD), allowing virtual exploration and refinement of objects that must function in the real world — things like automobiles, airplanes, ships — that are put to everyday use and tasked for production in the field and on set. One of the first use cases is a virtual wind tunnel that lets users simulate and visualize fluid dynamics at interactive speeds, even when changing the vehicle model as it navigates the tunnel. Continue reading Nvidia Unveils Omniverse Blueprint Real-Time Physics Engine

Google Cloud has begun advising customers it will require multi-factor authentication (MFA) for all business and enterprise users in 2025. That means customers who rely only on a password will have to add secondary authentication. The program is being implemented in a “phased approach” that begins now and will extend to all worldwide business users next year. The security precaution will remain optional for most of those using personal accounts. Google’s move comes after similar implementations enacted by rival cloud giants AWS and Microsoft earlier this year. MFA adds a layer of protection against hacking. Continue reading Google Begins Mandatory Multi-Factor Authentication Logins

Snap Inc. is leveraging its relationship with Google Cloud to use Gemini for powering generative AI experiences within Snapchat’s My AI chatbot. The multimodal capabilities of Gemini on Vertex AI will greatly increase the My AI chatbot’s ability to understand and operate across different types of information such as text, audio, image, video and code. Snapchatters can use My AI to take advantage of Google Lens-like features, including asking the chatbot “to translate a photo of a street sign while traveling abroad, or take a video of different snack offerings to ask which one is the healthiest option.” Continue reading Snapchat: My AI Goes Multimodal with Google Cloud, Gemini

Meta’s Llama 3.2 release includes two new multimodal LLMs, one with 11 billion parameters and one with 90 billion — considered small- and medium-sized — and two lightweight, text-only models (1B and 3B) that fit onto edge and mobile devices. Included are pre-trained and instruction-tuned versions. In addition to text, the multimodal models can interpret images, supporting apps that require visual understanding. Meta says the models are free and open source. Alongside them, the company is releasing “the first official Llama Stack distributions,” enabling “turnkey deployment” with integrated safety. Continue reading Meta Unveils New Open-Source Multimodal Model Llama 3.2