10th Indian Delegation to Dubai, Gitex & Expand North Star – World’s Largest Startup Investor Connect
AI

Alphabet X’s Bellwether harnesses AI to help predict natural disasters


The world is on fire. Quite literally, much of the time quite literally. Predicting such disasters before they get out of hand — or better yet, before they happen — will be key to maintaining a reasonable quality of life for the coming century. It’s a big, global issue. It’s also one Alphabet believes it can help tackle.

The Google parent’s moonshot factory X this week officially unveiled Project Bellwether, its latest bid to apply technology to some of our biggest problems. Here that means using AI tools to identify natural disasters like wildfire and flooding as quickly as possible. If implemented correctly, it could be a gamechanger for first responders.

“Bellwether is X’s moonshot to understand and anticipate changes across the planet, so that any organization, community, or business can ask smarter and more timely questions about the natural and built environment,” project head Sarah Russell says in a social media post. “Until now, it’s been epically hard and expensive to apply AI to geospatial questions, but our team has harnessed some of the most recent advances in machine learning (plus some straight-up solid engineering) to re-think the whole endeavor.”

Project Bellwether’s coming out party coincides with news that the United States National Guard’s Defense Innovation Unit (DIU) will be utilizing the organization’s “prediction engine.” According to the teams, current technology has the potential to delay response times by hours or days, causing untold damage to human life and property.

“Right now, our analysts have to spend time sorting through images to find the ones that cover the areas most affected by natural disasters,” the Guard’s Col. Brian McGarry notes. “They then have to correlate those images to surrounding infrastructure, label all the relevant features, and only then can highlight the significant damage and send it forward to first responder teams.”

The Bellwether team has thus far produced two tools. The first is designed to forecast the risk of wildfire “up to five years into the future.” The second is a response tool that helps first responders “identify critical infrastructure” in the wake of natural disaster or extreme weather.

Google has been exploring the use of machine learning models and AI to predict natural disasters for some time now. Project Bellwether’s partnership with the National Guard could well prove an important validation of that work.



Source link

AI
by The Economic Times

IBM said Tuesday that it planned to cut thousands of workers as it shifts its focus to higher-growth businesses in artificial intelligence consulting and software. The company did not specify how many workers would be affected, but said in a statement the layoffs would “impact a low single-digit percentage of our global workforce.” The company had 270,000 employees at the end of last year. The number of workers in the United States is expected to remain flat despite some cuts, a spokesperson added in the statement. A massive supplier of technology to… Source link

AI
by The Economic Times

The number of Indian startups entering famed US accelerator and investor Y Combinator’s startup programme might have dwindled to just one in 2025, down from the high of 2021, when 64 were selected. But not so for Indian investors, who are queuing up to find the next big thing in AI by relying on shortlists made by YC to help them filter their investments. In 2025, Indian investors have invested in close to 10 Y Combinator (YC) AI startups in the US. These include Tesora AI, CodeAnt, Alter AI and Frizzle, all with Indian-origin founders but based in… Source link

by Techcrunch

Lovable, the Stockholm-based AI coding platform, is closing in on 8 million users, CEO Anton Osika told this editor during a sit-down on Monday, a major jump from the 2.3 million active users number the company shared in July. Osika said the company — which was founded almost exactly one year ago — is also seeing “100,000 new products built on Lovable every single day.” Source link