The characteristics of this valve are impressive. With its temperature regulation from 30 to 60ºC and a maximum temperature of 90ºC at 10 bar, it ensures precise and safe control of hot water. Its anti-scald security system guarantees the protection of all users.

WattsMixing Valve

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.

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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.

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.

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Trust the wear-resistant internal components of this 3/4" thermostatic mixing valve. .Get efficient and safe control of hot water in your home.Improve your water system with this quality valve!

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.

“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.”

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

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.

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

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.

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.

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

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.

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

Don't worry about the unexpected. In the event of an accidental lack of cold water, this valve automatically closes the flow of hot water. Plus, if the hot water supply fails, the cold water inlet will shut off automatically, preventing any unpleasant surprises.

2Thermostatic Mixing Valve

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.

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

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

With a strong brass body and anti-limescale protection, this valve is built to last. Its type of external thread connection facilitates installation in different systems.

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)

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

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.

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

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“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.

“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.”

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.

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.

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.

“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.”

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.

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

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.

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.

Water heatermixing valve

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.

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.

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.

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.

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)

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.

“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.

3/4mixing valvefor water heater

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

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.

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.

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.

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

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.

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

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)

The 3/4" thermostatic mixing valve is used for centralized control applications in hot water equipment or for local control at points of use. Also in DHW installations with solar energy. In underfloor heating or to limit the return temperature to boiler.

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.

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

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.

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 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.

Discover the 3/4" thermostatic mixing valve for efficient control of hot water in your home. This valve is perfect both for centralized control applications in hot water equipment and for local control at points of use. In addition, It is ideal for ACS installations with solar energy and in underfloor heating systems.

“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.”

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.

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

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

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.

1/2mixing valve

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 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.

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)

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

Valve features 3/4" thermostatic mixer:- Regulation 30 to 60ºC. Maximum temperature 90ºC at 10 bar.- Anti-scalding safety system.- Anti-calcareous protection- Brass body - Type of connection: external thread- Closing the hot water flow in case of accidental lack of cold water.- The cold water inlet closes automatically if the hot water supply fails.- Wear resistant internal components.

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.