As the climate changes, genetic engineering will be essential for growing food. But is it creating a race of superweeds?

The prize is a recognition for the whole community of people working as protein designers. It will help move protein design from the “lunatic fringe of stuff that no one ever thought would be useful for anything to being at the center stage,” he says.

Making sure referable dams across the state are built to the required engineering standards and maintained by the dam owners. This includes ensuring that they are resilient to climate change and extreme weather.

Starting next year, Antora’s new manufacturing plant will produce modular thermal batteries to help decarbonize heavy industries.

In AI there’s a saying: Garbage in, garbage out. If the data that is fed into AI models is not good, the outcomes won’t be dazzling either.

The call from the Royal Swedish Academy of Sciences woke him in the middle of the night. Or rather, his wife did. She answered the phone at their home in Seattle, and screamed that he’d won the Nobel Prize for Chemistry. The prize is the ultimate recognition of his work as a biochemist at the University of Washington.

A digital signature: Content credentials are based on C2PA, an internet protocol that uses cryptography to securely label images, video, and audio with information clarifying where they came from—the 21st-century equivalent of an artist’s signature. Creators can apply them to their content regardless of whether it was created using Adobe tools. The company is launching a public beta in early 2025. Read more from Rhiannon Williams here.

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

“There's just all these problems that were really hard before that we are now having much more success with thanks to generative AI methods. We can do much more complicated things,” Baker says.

The prize is a recognition for the whole community of people working as protein designers. It will help move protein design from the “lunatic fringe of stuff that no one ever thought would be useful for anything to being at the center stage,” he says.

In AI there’s a saying: Garbage in, garbage out. If the data that is fed into AI models is not good, the outcomes won’t be dazzling either.

The story of neodymium reveals many of the challenges we’ll likely face across the supply chain in the coming century and beyond.

Baker is already busy at work. He says his team is focusing on designing enzymes, which carry out all the chemical reactions that living things rely upon to exist. His team is also working on medicines that only act at the right time and place in the body.

The state of AI in 2025AI investor Nathan Benaich and Air Street Capital have released their annual analysis of the state of AI. Their predictions for the next year? Big, proprietary models will start to lose their edge, and labs will focus more on planning and reasoning. Perhaps unsurprisingly, the investor also bets that a handful of AI companies will begin to generate serious revenue.

Silicon Valley, the new lobbying monsterBig Tech’s tentacles reach everywhere in Washington DC. This is a fascinating look at how tech companies lobby politicians to influence how AI is regulated in the United States.  (The New Yorker)

technology复数

The call from the Royal Swedish Academy of Sciences woke him in the middle of the night. Or rather, his wife did. She answered the phone at their home in Seattle, and screamed that he’d won the Nobel Prize for Chemistry. The prize is the ultimate recognition of his work as a biochemist at the University of Washington.

Baker wasn’t alone in winning the Nobel Prize for Chemistry. The Royal Swedish Academy of Sciences awarded it to Demis Hassabis, the cofounder and CEO of Google DeepMind, and John M. Jumper, a director at the same company, too. Google DeepMind was awarded for its research on AlphaFold, a tool which can predict how proteins are structured, while Baker was recognized for his work using AI to design new proteins. Read more about it here.

Where compliance is not achieved, we take a risk-based approach to decide how best to respond, which includes taking enforcement action when needed.

emerging technologies中文

The power of the Chemistry Nobel Prize-winning AI tools lies in the Protein Data Bank (PDB), a rare treasure trove of high-quality, curated and standardized data. This is exactly the kind of data that AI needs to do anything useful. But the current trend in AI development is training ever-larger models on the entire content of the internet, which is increasingly full of AI-generated slop. This slop in turn gets sucked into datasets and pollutes the outcomes, leading to bias and errors. That’s just not good enough for rigorous scientific discovery.

Every year, we look for promising technologies poised to have a real impact on the world. Here are the advances that we think matter most right now.

To receive quarterly updates on departmental compliance news and water resource regulation, make sure to subscribe to our newsletter.

Computers capable of crunching a quintillion operations per second are expanding the limits of what scientists can simulate.

But there is one problem. AI needs masses of high-quality data to be useful for science, and databases containing that sort of data are rare, says Baker.

“If there were many databases as good as the PDB, I would say, yes, this [prize] probably is just the first of many, but it is kind of a unique database in biology,” Baker says. “It's not just the methods, it's the data. And there aren't so many places where we have that kind of data.”

Correction: A previous version of this story said David Baker's home was in Washington D.C. It is in Seattle, Washington. Apologies for the error.

Grad student So Young Lee has long been a choreographer, baker, and painter. In the lab, she applies her creativity to molecule design.

“If there were many databases as good as the PDB, I would say, yes, this [prize] probably is just the first of many, but it is kind of a unique database in biology,” Baker says. “It's not just the methods, it's the data. And there aren't so many places where we have that kind of data.”

Baker wasn’t alone in winning the Nobel Prize for Chemistry. The Royal Swedish Academy of Sciences awarded it to Demis Hassabis, the cofounder and CEO of Google DeepMind, and John M. Jumper, a director at the same company, too. Google DeepMind was awarded for its research on AlphaFold, a tool which can predict how proteins are structured, while Baker was recognized for his work using AI to design new proteins. Read more about it here.

“I woke up at two [a.m.] and basically didn't sleep through the whole day, which was all parties and stuff,” he told me the day after the announcement. “I'm looking forward to getting back to normal a little bit today.”

AI has been a gamechanger for biochemists like Baker. Seeing what DeepMind was able to do with AlphaFold made it clear that deep learning was going to be a powerful tool for their work.

Adobe has announced a new tool to help creators watermark their work and opt out of having it used to train generative AI models. The web app, called Adobe Content Authenticity, also gives artists the opportunity to add “content credentials,” including their verified identity, social media handles, or other online domains, to their work.

technologies中文

But there is one problem. AI needs masses of high-quality data to be useful for science, and databases containing that sort of data are rare, says Baker.

Speaking to reporters after the prize was announced, Hassabis said he believes that it will herald more AI tools being used for significant scientific discoveries.

Meanwhile, the physics prize went to Geoffrey Hinton, a computer scientist whose pioneering work on deep learning in the 1980s and ’90s underpins all of the most powerful AI models in the world today, and fellow computer scientist John Hopfield, who invented a type of pattern-matching neural network that can store and reconstruct data. Read more about it here.

Police drones, rapid deliveries of blood, tech-friendly regulations, and autonomous weapons are all signs that drone technology is changing quickly.

technology科技

The story of neodymium reveals many of the challenges we’ll likely face across the supply chain in the coming century and beyond.

AI has been a gamechanger for biochemists like Baker. Seeing what DeepMind was able to do with AlphaFold made it clear that deep learning was going to be a powerful tool for their work.

Regulatory oversight of water service providers such as local governments and other bodies. Our regulations make sure these operators provide high quality drinking water that is safe and meets water security needs

Futuretechnologies

How Big Tech, startups, AI devices, and trade wars will transform the way chips are made and the technologies they power.

Why artificial intelligence and clean energy need each otherA geopolitical battle is raging over the future of AI. The key to winning it is a clean-energy revolution, argue Michael Kearney and Lisa Hansmann, from Engine Ventures, a firm that invests in startups commercializing breakthrough science and engineering. They believe that AI’s huge power demands represent a chance to scale the next generation of clean energy technologies. (MIT Technology Review)

We’re making more data than ever. What can—and should—we save for future generations? And will they be able to understand it?

Sickle-cell disease is the first illness to be beaten by CRISPR, but the new treatment comes with an expected price tag of $2 to $3 million.

Researchers are using generative AI and other techniques to teach robots new skills—including tasks they could perform in homes.

Why artificial intelligence and clean energy need each otherA geopolitical battle is raging over the future of AI. The key to winning it is a clean-energy revolution, argue Michael Kearney and Lisa Hansmann, from Engine Ventures, a firm that invests in startups commercializing breakthrough science and engineering. They believe that AI’s huge power demands represent a chance to scale the next generation of clean energy technologies. (MIT Technology Review)

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future.

The coming year is going to see the first sweeping AI laws enter into force, with global efforts to hold tech companies accountable.

He didn’t expect to do well at MIT; he didn’t expect his music to be successful. But engineer Tom Scholz ’69, SM ’70, became an inventor, producer, and philanthropist—and the artistic and technical brains behind a juggernaut rock band.

Silicon Valley, the new lobbying monsterBig Tech’s tentacles reach everywhere in Washington DC. This is a fascinating look at how tech companies lobby politicians to influence how AI is regulated in the United States.  (The New Yorker)

Meanwhile, the physics prize went to Geoffrey Hinton, a computer scientist whose pioneering work on deep learning in the 1980s and ’90s underpins all of the most powerful AI models in the world today, and fellow computer scientist John Hopfield, who invented a type of pattern-matching neural network that can store and reconstruct data. Read more about it here.

The US manufacturer is opening new factories and betting that a special material will make its thin-film solar cells more efficient.

Information technology

A digital signature: Content credentials are based on C2PA, an internet protocol that uses cryptography to securely label images, video, and audio with information clarifying where they came from—the 21st-century equivalent of an artist’s signature. Creators can apply them to their content regardless of whether it was created using Adobe tools. The company is launching a public beta in early 2025. Read more from Rhiannon Williams here.

The bodies of liquid methane and ethane on Saturn’s largest moon have been a source of debate for years. Simulations shed new light.

“There's just all these problems that were really hard before that we are now having much more success with thanks to generative AI methods. We can do much more complicated things,” Baker says.

Adobe has announced a new tool to help creators watermark their work and opt out of having it used to train generative AI models. The web app, called Adobe Content Authenticity, also gives artists the opportunity to add “content credentials,” including their verified identity, social media handles, or other online domains, to their work.

Speaking to reporters after the prize was announced, Hassabis said he believes that it will herald more AI tools being used for significant scientific discoveries.

Half the prize goes to Demis Hassabis and John M. Jumper from Google DeepMind for using AI to solve protein folding, and the other to David Baker for tools to help design new proteins.

The power of the Chemistry Nobel Prize-winning AI tools lies in the Protein Data Bank (PDB), a rare treasure trove of high-quality, curated and standardized data. This is exactly the kind of data that AI needs to do anything useful. But the current trend in AI development is training ever-larger models on the entire content of the internet, which is increasingly full of AI-generated slop. This slop in turn gets sucked into datasets and pollutes the outcomes, leading to bias and errors. That’s just not good enough for rigorous scientific discovery.

The FDA is poised to approve the notorious party drug as a therapy. Here’s what it means, and where similar drugs stand in the US.

Scientists have begun running experiments on Frontier, the world’s first official exascale machine, while facilities worldwide build other machines to join the ranks.

Correction: A previous version of this story said David Baker's home was in Washington D.C. It is in Seattle, Washington. Apologies for the error.

The state of AI in 2025AI investor Nathan Benaich and Air Street Capital have released their annual analysis of the state of AI. Their predictions for the next year? Big, proprietary models will start to lose their edge, and labs will focus more on planning and reasoning. Perhaps unsurprisingly, the investor also bets that a handful of AI companies will begin to generate serious revenue.

Example of technology

What is technology

In addition to restoring public trust, robotaxi companies need to prove that their business models can compete with Uber and taxis.

The Queensland Government is now in caretaker mode until after the state election. Minimal updates will be made to this site until after the election results are declared.

After escaping the Nazis and surviving internment camps, Josef Eisinger, PhD ’51, went on to an impressive scientific career—and, perhaps just as important, a joyful life.

Baker is already busy at work. He says his team is focusing on designing enzymes, which carry out all the chemical reactions that living things rely upon to exist. His team is also working on medicines that only act at the right time and place in the body.

Half the prize goes to Demis Hassabis and John M. Jumper from Google DeepMind for using AI to solve protein folding, and the other to David Baker for tools to help design new proteins.

“I woke up at two [a.m.] and basically didn't sleep through the whole day, which was all parties and stuff,” he told me the day after the announcement. “I'm looking forward to getting back to normal a little bit today.”

Scientific advances, public interest, and an unprecedented level of investment are pushing the longevity industry to help us live longer in better health.