British phone maker Nothing Technology Limited has announced the Phone (3), with a divergent look and major camera upgrades that cater to its young fanbase. At a launch event in London, Nothing CEO Carl Pei said his company, which also makes headphones and earbuds, will go “all-in” marketing its new Android flagship smartphone against premium offerings from Samsung and others. It starts at $800, 25 percent more than the Phone (2), but Pei says there are plenty of upgrades — including four 50MP cameras and a circular mini-LED screen on the back of the device. Roughly the size of a quarter, the secondary screen displays data in a retro-looking dot matrix format called the “Glyph Matrix.” Continue reading Nothing Phone (3) Touts 50MP Cameras, Tiny Second Screen

Startup Zencoder (formerly For Good AI) has launched a cloud-based AI-powered E2E testing agent that simplifies the pipeline from initial code to production-ready applications. Now in public beta, Zentester tackles “verification,” which Zencoder founder and CEO Andrew Filev calls “the missing link” in scaling AI-created code from concept to market-ready app. That complicated process is often delayed by a bottleneck in final testing. Zentester is designed to take that late-stage verification process “from days to hours,” Filev says. Zentester has the typical agent superpowers — seeing and interacting as users do by clicking buttons, filling in forms and navigating workflows. Continue reading Zencoder Testing Agent Shaves Weeks Off App Development

The Norwegian browser company behind Opera is working on an AI-powered version with agentic powers. Called Opera Neon, users can chat using the browser’s native integrated AI agent that will search the web, get answers and provide context for webpages. To do this, Opera Neon draws on previously showcased Opera tech called Browser Operator, which automates routine web tasks like form completion, hotel bookings and even some shopping functions. “Neon performs these tasks locally in the browser, preserving users’ privacy and security,” according to Opera. The company, which has been around since 1996, was acquired by a Chinese consortium in 2016. Continue reading Agentic Browser Opera Neon Available Soon via Subscription

Google has turned its Firebase backend-as-a-service (BaaS) platform into a full-stack AI workspace called Firebase Studio that builds custom apps in a browser-based environment. Available to anyone with a Google account during its preview phase, Google says Firebase Studio will be useful to beginners and pros alike, with Gemini-powered AI agents that can be used to automate the process of building, launching and monitoring mobile and web apps and related infrastructure. Firebase Studio “includes everything developers need to create and publish production-quality AI apps quickly, all in one place,” the company announced at Google Cloud Next 2025. Continue reading Google Firebase Now Full-Stack App Developer in a Browser

ThinkAnalytics has launched an AI-powered platform designed for video service providers. Called ThinkMediaAI, it is said to unify content monetization — including contextual advertising, content curation and content bundling — across a variety of services, from live to CTV, FAST, VOD and more. Headquartered in the UK, with offices in Los Angeles, Singapore and India, ThinkAnalytics leverages a recommendation engine, claiming to track more than 475 million real-time data records and 8 billion recommendations per day. The company plans to showcase the new tech at NAB 2025, April 5-9 in Las Vegas. Continue reading ThinkAnalytics Bows Advertising, Curation Tool ThinkMediaAI

Model training continues to hit new lows in terms of cost, a phenomenon known as the commoditization of AI that has rocked Wall Street. An AI reasoning model created for under $50 in cloud compute credits is reportedly performing comparably to established reasoning models such as OpenAI o1 and DeepSeek-R1 on tests of math and coding aptitude. Called s1-32B, it was created by researchers at Stanford and the University of Washington by customizing Alibaba’s Qwen2.5-32B-Instruct, feeding it 1,000 prompts with responses sourced from Google’s new Gemini 2.0 Flash Thinking Experimental reasoning model. Continue reading Reasoning Model Competes with Advanced AI at a Lower Cost

Twelve Labs has raised $30 million in funding for its efforts to train video-analyzing models. The San Francisco-based company has received strategic investments from notable enterprise infrastructure providers Databricks and SK Telecom as well as Snowflake Ventures and HubSpot Ventures. Twelve Labs targets customers using video across a variety of fields including media and entertainment, professional sports leagues, content creators and business users. The funding coincides with the release of Twelve Labs’ new video foundation model, Marengo 2.7, which applies a multi-vector approach to video understanding. Continue reading Twelve Labs Creating AI That Can Search and Analyze Video

Anticipating what one outlet calls “the likely imminent release of OpenAI’s Sora,” generative AI video competitors are compelled to step up their game. Luma AI has released a major upgrade to its Dream Machine, speeding its already quick video generation and enabling a chat function for natural language prompts, so you can talk to it as with OpenAI’s ChatGPT. In addition to the new interface, Dream Machine is going mobile and adding a new foundation image model, Luma AI Photon, which “has been purpose built to advance the power and capabilities of Dream Machine,” according to the company. Continue reading Luma AI Upgrades Its Video Generator and Adds Image Model

Microsoft’s expansion of AI agents within the Copilot Studio ecosystem was a central focus of the company’s Ignite conference. Since the launch of Copilot Studio, more than 100,000 enterprise organizations have created or edited AI agents using the platform. Copilot Studio is getting new features to increase productivity, including multimodal capabilities that take agents beyond text and Retrieval Augmented Generation (RAG) enhancements to enable agents with real-time knowledge from multiple third-party sources, such as Salesforce, ServiceNow, and Zendesk. Integration with Azure is expanded as 1,800 large language models in the Azure catalog are made available. Continue reading Microsoft Pushes Copilot Studio Agents, Adds Azure Models

YouTube has added a new feature to its Dream Track toolset, which lets select U.S. creators use AI to generate songs using the vocals of artists including John Legend, Demi Lovato, Charli XCX, Charlie Puth and others. Now users can remix Dream Track songs using natural language to describe the changes they would like, stylistic and otherwise. Selecting the “restyle a track” option will steer users to creating a 30-second generative snippet for use in YouTube Shorts. The remixed snippets will credit the original song with “clear attribution” through the Short itself and the Shorts audio pivot page. It will also clearly indicate that the track was restyled with AI, according to Google. Continue reading YouTube Dream Track Toolset Introduces an AI Remix Feature

Google DeepMind has made its latest AI image generator, Imagen 3, free for use in the U.S. via the company’s ImageFX platform. Imagen 3 will be available in multiple versions, “each optimized for different types of tasks, from generating quick sketches to high-resolution images.” Google announced Imagen 3 at Google I/O in March, and in June made it available to enterprise users through Vertex. Using simplified natural language text input rather than “complex prompt engineering,” Google says Imagen 3 generates high-quality images in a range styles, from photorealistic, painterly and textured to whimsically cartoony. Continue reading Google DeepMind Releases Imagen 3 for Free to U.S. Users

Airtable, a 10-year-old firm focused on customized apps, is launching Cobuilder, which uses AI to turn a concept into a customizable application “in seconds,” without the need for human coding. The debut adds to a rapidly expanding field of no-code platforms that help non-technical types develop software suitable for enterprise use. “Within the next five years, teams will build the vast majority of applications in-house, customizing them to transform their most critical workflows,” predicts Airtable co-founder and CEO Howie Liu. “To get there, knowledge workers who are closest to the work need to be empowered to build.” Continue reading Airtable Enters No-Code Enterprise App Space with Cobuilder

Microsoft is working on a new productivity tool that helps artificial intelligence better understand spreadsheets. Still in the experimental phase, SpreadsheetLLM addresses challenges that are unique to applying AI to spreadsheets, “with their extensive two-dimensional grids, various layouts, and diverse formatting options,” the company explains. Hailed as a significant development in the enterprise space, where spreadsheets are used for everything from data entry to financial modeling and are shared among departments, Microsoft points out that as a research area spreadsheet-optimized AI has generally been overlooked in favor of flashier use-cases. Continue reading Microsoft Targets Enterprise Productivity with Spreadsheet AI

Apple has released a public demo of the 4M AI model it developed in collaboration with the Swiss Federal Institute of Technology Lausanne (EPFL). The technology debuts seven months after the model was first open-sourced, allowing informed observers the opportunity to interact with it and assess its capabilities. Apple says 4M was built by applying masked modeling to a single unified Transformer encoder-decoder “across a wide range of input/output modalities — including text, images, geometric and semantic modalities, as well as neural network feature maps.” Continue reading Apple Launches Public Demo of Its Multimodal 4M AI Model

Google DeepMind has unveiled new research on AI tech it calls V2A (“video-to-audio”) that can generate soundtracks for videos. The initiative complements the wave of AI video generators from companies ranging from biggies like OpenAI and Alibaba to startups such as Luma and Runway, all of which require a separate app to add sound. V2A technology “makes synchronized audiovisual generation possible” by combining video pixels with natural language text prompts “to generate rich soundscapes for the on-screen action,” DeepMind writes, explaining that it can “create shots with a dramatic score, realistic sound effects or dialogue.” Continue reading DeepMind’s V2A Generates Music, Sound Effects, Dialogue