• Google has upgraded its AI Mode with the advanced Gemini 2.5 Pro
• AI Mode has also added Deep Search, which can now run hundreds of background searches
• A new calling tool built into Search lets Google call businesses on your behalf

Google is continuing to try to get you to use its AI Mode when searching online with new and enhanced AI tools. The conversational search tool has made Google’s Gemini 2.5 Pro AI model available in AI Mode, along with the long-form report writing tool Deep Search.

Google AI Pro and AI Ultra subscribers in the U.S. who are also part of the AI Mode experiment in Search Labs will now see an option to choose Gemini 2.5 Pro when asking tough questions as well.

HUNTSVILLE, Ala (WHNT) — Our world is constantly evolving, and lately, a lot of that evolution has been in the form of artificial intelligence.

“This is the future,” Kala Grice-Dobbins said. “It’s not going away, and we want our teachers to be informed, but also our students to be informed.”

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Grice-Dobbins is a cybersecurity teacher with the Madison County School System.

Thursday, more than 150 teachers from across North Alabama gathered to talk about AI and the use of it in the classroom.

“It’s clearly a novel technology– new for kids, new for teachers, and they’re trying to figure out how to use it,” Randy Sparkman said. “So we’re just trying to bring resources and bring these, Madison County districts, particularly, together to talk about strategies for using AI in the new school year.”

Sparkman is a part of Mayor Tommy Battle’s AI task force. They put on the AI in education event.

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Grace-Dobbins said she uses AI for help with things like lesson plans and recommendation letters.

“All of us use templates every day,” she said. “Why can’t it be our template to start with, and then we edit it because nothing’s perfect when it comes out.”

She said it’s easier than you think to spot students plagiarizing by using the tool.

“It’s not going to be your top of the line type paper,” she said. “It’s not going to be written in their kind of language. It’s not going to have their kind of thoughts involved, and so the more you know your students, you’re going to know this is not you.”

Angela Evans is also a teacher. She said she’s already been using AI in her classroom for years.

She has a message for those who may be skeptical. What she’d tell people.

“Don’t be scared because change is nature,” she said. “We are going to progress our humanity. Our intelligence is going to continue to progress.

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Britain’s new £225m national artificial intelligence supercomputer will be used to spot sick dairy cows in Somerset, improve the detection of skin cancer on brown skin and help create wearable AI assistants that could help riot police anticipate danger.

Scientists hope Isambard-AI – named after the 19th-century engineer of groundbreaking bridges and railways, Isambard Kingdom Brunel – will unleash a wave of AI-powered technological, medical and social breakthroughs by allowing academics and public bodies access to the kind of vast computing power previously the preserve of private tech companies.

The supercomputer was formally switched on in Bristol on Thursday by the secretary of state for science and technology, Peter Kyle, who said it gave the UK “the raw computational horsepower that will save lives, create jobs, and help us reach net zero-ambitions faster”.

The machine is fitted with 5,400 Nvidia “superchips” and sits inside a black metal cage topped with razor wire north of the city. It will consume almost £1m a month of mostly nuclear-powered electricity and will run 100,000 times faster than an average laptop.

Amid fierce international competition for computing power, it is the largest publicly acknowledged facility in the UK but will be the 11th fastest in the world behind those in the US, Japan, Germany, Italy, Finland and Switzerland. Elon Musk’s new xAI supercomputer in Tennessee already has 20 times its processing power, while Meta’s chief executive, Mark Zuckerberg, is planning a datacentre that “covers a significant part of the footprint of Manhattan”.

The investment is part of the government’s £2bn push to attain “AI sovereignty” so Britain does not have to rely on foreign processing chips to make AI-enabled research progress. But the switch-on could trigger new ethical dilemmas about how far AI should be allowed to steer policy on anything from the control of public protests to the breeding of animals.

One AI model under development by academics at the University of Bristol is an algorithm that learns from thousands of hours of footage on human motion, captured using wearable cameras. The idea is to try to predict how humans could move next. It could be applied to a wide range of scenarios, including enabling police to predict how crowds of protesters may behave, or predict accidents in an industrial setting such as a construction site.

Dima Damen, a professor of computer vision at the university, said based on patterns in the human behaviours a wearable camera was capturing in real time, the algorithm, trained by Isambard-AI, could even “give an early warning that in the next two minutes, something is likely to happen here”.

Damen added there were “huge ethical implications of AI” and it would be important to always know why a system made a decision.

“One of the fears of AI is that some people will own the technology and the knowhow and others won’t,” she said. “It’s our biggest duty as researchers to make sure that the data and the knowledge is available for everyone.”

Another AI model under development could detect early infections in cows. A herd in Somerset is being filmed around the clock to train a model to predict if an animal is in the early stages of mastitis, which affects milk production and is an animal welfare problem. The scientists at Bristol believe this could be possible based on detecting subtle shifts in cows’ social behaviour.

“The farmer obviously takes a great interest in their herd, but they don’t necessarily have the time to look at all of the cows in their herd continuously day in, day out, so the AI will be there to provide that view,” said Andrew Dowsey, a professor of health data science at the University of Bristol.

A third group of researchers are using the supercomputer to detect bias in the detection of skin cancer. James Pope, a senior lecturer in data science at the University of Bristol, has already run “quadrillions if not quintillions of computations” on Isambard to find that current phone apps to check moles and lesions for signs of cancer are performing better on lighter coloured skin. If confirmed with further testing, apps could be retuned to avoid bias.

“It would be quite difficult, and frankly impossible to do it with a traditional computer,” he said.