Latest AI News
iOS 27 Could Bring AI Wallpaper Generator, Smarter Siri, Revamped Shortcuts App to iPhone: Report
Apple could introduce new AI-powered features aimed at improving personalisation and productivity across the iPhone experience with iOS 27. According to a report, the Cupertino-based tech giant is developing a custom wallpaper generator powered by Image Playground for iPhone, alongside a revamped Shortcuts app with the ability to automate workflows. iOS 27 could also reportedly expand the Apple Intelligence suite with upgraded Writing Tools, AI-assisted grammar checking, and a more advanced chatbot-style version of Siri.
View
Beyond Metros, This Organisation is Building AI Skills for India's Rural Graduates
1M1B has also contributed to India's open AI ecosystem through the GenAI Resource Hub, developed in partnership with Meta and integrated with the national AI platform AIKosh.
View
Amazon Alexa+ Can Now Create AI-Powered Podcast Episodes on Demand
Amazon has introduced a new Alexa+ feature called Alexa Podcasts that can generate podcast-style audio episodes on demand. The tool creates AI-generated episodes on nearly any topic in a few minutes using synthetic host voices. Users only need to provide a topic and can adjust the planned coverage before the audio is generated. The feature is designed to help users learn about news, travel, hobbies, and professional topics in an audio format that can be played through Echo devices and the Alexa app.
View
Google Starts Rolling Out Gemini Usage Dashboard, Adds Weekly Limit
Google is now rolling out the usage dashboard for Gemini to all users. This new space, which is slowly rolling out globally, acts as a space to let users know how soon they will hit their rate limits and plan their usage accordingly. The dashboard brings more transparency to users who frequently exhaust their usage and have to wait for the bar to reset. However, as a downside, the Mountain View-based tech giant has implemented a weekly rate limit alongside its five-hour limit, which places broader restrictions on the usage one can get out of their artificial intelligence (AI) chatbot.
View
Salesforce to Spend Nearly $300 Mn on Anthropic Tokens in 2026
Salesforce currently has around 15,000 engineers, many of whom now work with AI tools such as Anthropic Claude.
View
Meet the Winners of the Finkelstein Awards for Data Engineering Excellence 2026
The Finkelstein Awards for Data Engineering Excellence 2026 celebrate individuals and teams pushing the boundaries of data-driven work.
View
Blackstone, Google Launch TPU Cloud Venture With $5 Bn Commitment
The new company will offer data centre capacity, networking, operations, and access to Google Cloud’s TPUs through a compute-as-a-service model.
View
Google DeepMind’s Demis Hassabis Was Early Investor in Anthropic: Report
Anthropic CEO Dario Amodei reportedly considers Demis Hassabis a role model.
View
How One Bengaluru Road Turned Into India's Hottest Economic Cluster
What differentiates Bengaluru’s micro-markets today is the type of enterprise ecosystem they support. ORR, in particular, has evolved into one of India’s densest technology corridors.
View
Meta to Axe 10% of Workforce as It Shifts 7,000 Employees to AI Teams: Report
The changes are part of a broader overhaul at Meta as the company ramps up spending on AI infrastructure and products.
View
Google I/O 2026 Starts Today: How to Watch Keynote Live and What to Expect
Google I/O 2026 is all set to begin today (May 19), and the tech giant is expected to make several announcements about software features coming to its services over the coming months. In recent weeks, the Mountain View-based tech giant has provided us with a glimpse of what's to come, courtesy of The Android Show. The 2026 edition of the developer conference is expected to outline Google's roadmap across artificial intelligence (AI), Android, and developer tools.
View
SandboxAQ brings its drug discovery models to Claude — no PhD in computing required
Drug discovery is one of the most expensive pursuits in modern industry. Finding a single viable molecule can take a decade and cost billions, and most candidates still don’t make it. A generation of AI startups has promised to fix that — most have made the problem less painful for researchers, who are already technically sophisticated enough to use the tools. But SandboxAQ thinks the bottleneck isn’t the models. It’s the interface. The company has teamed up with Anthropic to integrate its scientific AI models directly into Claude — putting powerful drug discovery and materials science tools behind a conversational interface that requires no specialized computing infrastructure to use. Founded roughly five years ago as an Alphabet spinout, SandboxAQ counts Eric Schmidt, Google’s former CEO, as its chairman. The company, which has raisedmore than $950 million from investors, has built out a number of different business lines, includinga cybersecurity business. One of the more unique things SandboxAQ does, however, is produce large quantitative models, or LQMs. These proprietary models are “physics-grounded,” meaning they’re built on the rules of the physical world rather than patterns in text. They can run quantum chemistry calculations and simulate both molecular dynamics and microkinetics, the study of how chemical reactions unfold at the molecular level. That matters because it tells researchers how candidate molecules are likely to behave before anyone sets foot in a lab. “Trained on real-world lab data and scientific equations, LQMs are AI models engineered for the quantitative economy, a $50+ trillion sector spanning biopharma, financial services, energy, and advanced materials,” the company said in a news release that strongly suggests Sandbox AQ isn’t building another chatbot or code assistant — it’s chasing the economy that AI is supposed to transform. Chai DiscoveryandIsomorphic Labs— both well-funded bets on better models — have focused on the science. SandboxAQ is focused on who can actually use it. “For the first time, we have a frontier [quantitative] model on a frontier LLM that someone can access in natural language,” Nadia Harhen, SandboxAQ’s general manager of AI simulation, told TechCrunch. Previously, users of SandboxAQ’s LQMs would have had to provide their own digital infrastructure to run the models. SandboxAQ’s customers tend to be computational scientists, research scientists, or experimentalists. Generally, these people work at large pharmaceutical or industrial companies and are searching for new materials that can become marketable products. “Our customers come to us because they’ve tried all the other software out there, and the complexity of their problem is such that it didn’t work or didn’t yield positive results for them when that translation went to take place in the real world,” said Harhen.
View
