Latest AI News
Codex Micro Launched as a Dedicated Controller for OpenAI Codex Power Users: Price, Features
OpenAI has launched the Codex Micro in global markets. The new keyboard, developed in association with keyboard maker Work Louder, is designed to work with the company's AI coding assistant Codex. It can be used to switch between agents and start new chats instantly. The Codex Micro includes a joystick for navigation and a rotary dial for adjusting the agent's reasoning level. It offers Codex integration and lets users remap commands, adjust layouts, and more, without requiring additional software downloads. The latest hardware device by OpenAI is designed for developers working with agentic workflows.
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Google’s AI Product Sprawl Is Confusing Developers
And how Google is working hard to fix it.
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Synchrony Opens its Largest Global Experience Center in Hyderabad
The new facility highlights India’s growing role in technology, AI and enterprise capabilities across Synchrony’s global operations.
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Madhya Pradesh Courts Semiconductor, AI and Data Centre Firms with Investment Proposals Worth Over ₹58,000 Crore
The largest proposals came from Submer India Private Limited, which expressed interest in investing ₹19,000 crore to develop data centre infrastructure
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Google Upgrades Gmail Help Me Write With Custom AI Email Edits
Google has introduced a new update for Gmail's Gemini-powered Help Me Write feature that gives users greater control over AI-generated email drafts. The latest addition allows people to refine existing drafts using their own text instructions instead of relying only on preset editing options. The update also adds undo and redo controls for AI edits, making it easier to revise messages before sending them. Google says the feature is rolling out now and is expected to reach eligible users by July 20.
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Applied Computing wants to give oil and gas operators an AI model for the entire plant
Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas, and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating. Founded in 2023, the startup targets oil, gas, refining, and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there’s ahuge marketfor helping energy companies solve the data-tracking problem, the fragmentation presents a significant hurdle.Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing’s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.“It’s getting those three data sources to talk to each other in real time. That’s the real key,” he told TechCrunch.Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility’s equipment constraints and operator activity. It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations. Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output. That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some “large, publicly listed” upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has. Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a “major U.S. upstream operator” and plans to announce a partnership with a European oil major in the coming weeks. Still, Applied Computing is entering a market that has entrenched industrial software suppliers, as well as more focused AI startups.AspenTechsells simulation and AI-powered modeling software for upstream, refining, and chemical operations, whileAVEVAoffers physics-based process simulation, optimization, and “what-if” modeling for industrial plants.CogniteandSeeqtarget the data layer, helping facilities analyze industrial data, and apply AI to design workflows. Adamson argues that the company’s moat is not access to industrial data or process knowledge, but rather assembling AI researchers to build a model that can compete with Orbital.“It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he said. “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list.” Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant. The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data and industry expertise, as well as introductions to more potential customers. Applied Computing plans to use the $20 million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients. The company on Thursday said it’s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works.
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Nationalising AI? Why Govts Want a Piece of OpenAI and Sarvam
From Washington to New Delhi, policymakers are exploring new ways to secure long-term influence over the AI race.
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GPT-5.6 Pro Solves a 20-Year-Old Statistics Problem
The model generated a mathematical proof that disproves a long-held assumption behind the Benjamini-Hochberg procedure, a staple of modern statistical analysis.
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ESA Selects Keysight and Sateliot for Secure 5G Satellite Network Project
The three-year programme will test blockchain, AI and anomaly detection for future satellite and terrestrial networks.
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Mira Murati's Thinking Machines Launches Open-Weight AI Model, Takes on NVIDIA Nemotron
The multimodal model supports a 1-million-token context window and is available for fine-tuning with fully open weights.
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GPT-5.6 Sol Leads New React Coding Benchmark, Beats Fable 5
The evaluation tests AI coding agents on production-style React development, combining hidden behavioural tests with checks for performance, accessibility and code quality.
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Applied Computing Secures $20 Mn Funding Led by KBR to Expand AI Solutions for Energy Sector
The British AI startup will use the fresh capital to accelerate global expansion, deepen AI research and deploy its Orbital foundation model across energy operators.
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