BREAKING GROUND: Stargate, the massive artificial intelligence (AI) infrastructure project recently unveiled by President Donald Trump, has begun production in Texas — with data center construction in other states expected to be announced in the coming months.
ON ONE CONDITION: Elon Musk will withdraw his unsolicited bid of $97.4 billion to take over OpenAI if its board of directors stops the company’s conversion into a for-profit entity.
EXISTENTIAL THREAT: OPINION: Our socioeconomic system is facing an existential threat from AI. In our capitalist society, most people depend on jobs to sustain themselves. The U.S. government, in turn, relies heavily on taxing the income of individual workers for revenue.
UNCHARTED TERRITORY: OpenAI CEO Sam Altman commended Vice President JD Vance's artificial intelligence (AI) speech in Paris on Tuesday while laying out his vision for how people can take advantage of the rapidly evolving technology at the same conference.
AI ROMANCE SCAMS: "Love is blind" takes on a more sinister meaning when so-called artificial intelligence (AI) becomes a tool for exploiting our deepest human emotions.
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Autonomous driving technology company Waymo has partnered with automaker Zeekr to develop the next generation of vehicles for ride-hailing services.
Zeekr provides the base electric vehicle platform, called the Zeekr RT, which is purpose-built for autonomous applications. Waymo then integrates its proprietary sixth-generation Waymo Driver technology, including hardware and software, to create the final autonomous vehicle.
This collaboration follows Waymo's established process, which is similar to their work with Jaguar I-PACE vehicles.
The Waymo Driver, integrated into the Zeekr RT, is equipped with an impressive array of 13 cameras, four lidar units, six radar sensors, and external audio receivers, ensuring a 360-degree view of its surroundings.
To maintain optimal performance in various weather conditions, the Zeekr RT features a specially designed system to keep its sensors clean. This custom-designed sensor-cleaning system includes tiny wipers and spray nozzles for windshield wiper fluid, specifically created by Waymo, to ensure clear visibility for the cameras and lidar sensors. The robotaxi's advanced sensor suite provides overlapping fields of view all around the vehicle, functioning effectively both day and night.
The Zeekr RT serves as the base vehicle for Waymo's autonomous driving technology. The Waymo Driver, which provides the autonomous capabilities, is integrated into the Zeekr RT. This integration includes Waymo's own suite of sensors and a powerful onboard computer. This powerful AI platform is capable of up to 2,500 teraflops of performance, unifying various intelligent functions such as automated driving, parking, occupant monitoring and infotainment into a single architecture.
Inside, passengers will find a spacious cabin with a fully configurable interior, which can be tailored to meet the specific requirements of Waymo's ride-hailing service. The Zeekr RT is built on Zeekr's Sustainable Experience Architecture (SEA) platform and features an 800V ultra-fast charging e-powertrain, showcasing the latest advancements in electric vehicle technology.
The journey from concept to production has been swift and impressive. The Zeekr RT was designed and developed at Zeekr's R&D facility, CEVT (China Europe Vehicle Technology Centre) in Gothenburg, Sweden. Waymo has been testing prototype versions of the Zeekr RT on public roads in San Francisco and Phoenix, with human safety drivers at the helm. Mass production of the Zeekr RT is set to begin later this year, with initial deliveries to Waymo for further testing and validation.
As Waymo prepares to integrate the Zeekr RT into its commercial fleet, the future of autonomous ride-hailing services looks promising. Waymo plans to deploy these vehicles in its Waymo One service, which currently operates in select cities like Phoenix and San Francisco. After thorough testing, Waymo aims to operate these vehicles in fully driverless mode, marking a significant milestone in autonomous transportation. The introduction of a cost-effective and passenger-friendly vehicle could give Waymo a competitive edge in the growing robotaxi market.
The Zeekr RT is a pretty big deal in the world of self-driving cars. It's cool to see car companies and tech firms teaming up like this. As these robotaxis hit the streets for testing, we're getting a sneak peek at what city travel might look like in the near future. Sure, there are still some bumps in the road ahead, but the Zeekr RT is definitely pushing us closer to a world where calling a self-driving cab is as normal as ordering a pizza.
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Shanghai has officially unveiled its first heterogeneous humanoid robot training center, marking a significant accomplishment in China's robotics development.
The Humanoid Robot Kylin Training Ground represents an important step in the country's technological advancement, showcasing China's commitment to becoming a global leader in robotics and artificial intelligence.
The National and Local Co-Built Humanoid Robotics Innovation Center has launched a groundbreaking training facility that is revolutionizing the field of robotics. This cutting-edge complex, spanning over 53,800 square feet, is currently capable of training more than 100 humanoid robots at once. The facility features an impressive array of over a dozen specialized training scenarios, including welding, manufacturing and automotive testing.
These advanced robots have showcased exceptional proficiency, with an average success rate exceeding 90% in various tasks. Their capabilities range from organizing desks and sorting items to operating complex equipment, demonstrating the potential for widespread application across multiple industries. This remarkable achievement underscores the rapid progress being made in the field of humanoid robotics and highlights China's growing prominence in artificial intelligence and automation technologies.
The training facility aligns with China's broader strategy to address multiple challenges, including global tech competition and the complexities of an aging society. By 2027, the center aims to train 1,000 general-purpose robots simultaneously, with plans to collect 10 million high-quality physical data entries through collaborations with local robot manufacturers.
The center is preparing to introduce the 2.0 version of its humanoid robot, "Deep Snake," which will showcase advanced technologies like linear joint actuators. This means the robot will have smoother, more precise movements. Linear joint actuators are like advanced motors that allow the robot's joints to move in a straight line, giving it more fluid and controlled motions. It's a big step forward in making robots that can perform a wider range of tasks with greater accuracy and efficiency. These innovations are expected to enhance the versatility and performance of humanoid robots, further solidifying China's leadership in the robotics industry.
The Chinese humanoid robot market is experiencing explosive growth, showcasing the country's rapid advancement in this cutting-edge technology sector. In 2024, the market was valued at $379 million, demonstrating significant initial traction. Looking ahead, projections indicate a remarkable expansion to approximately $2.3 billion by 2025, based on current exchange rates. Even more impressive is the anticipated growth to about $11.8 billion by 2030, highlighting the immense potential of this industry. The development extends beyond industrial applications, with plans for the first World Humanoid Robot Sports Games and even a marathon-running robot named "Tiangong" set to compete in April.
China's investment in the Humanoid Robot Kylin Training Ground is a strategic move to reshape industrial capabilities, address societal challenges and position the country at the forefront of global innovation. As the technology continues to evolve, the world will be watching closely to see how these advanced robots will transform various sectors and potentially redefine human-machine interaction.
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- Vance tells world leaders AI must be 'free from ideological bias,' American tech won't be censorship tool
- Altman says Musk 'trying to slow us down,' OpenAI not for sale
- Top translation apps for travelers
FREE FROM BIAS: Vice President JD Vance told world leaders in Paris on Tuesday that the United States intends to remain the dominant force in artificial intelligence and warned that the European Union's far tougher regulatory approach to the technology could cripple it.
'TRYING TO SLOW US DOWN': OpenAI CEO Sam Altman said Elon Musk is "probably just trying to slow us down" with his bid to purchase the company, insisting on Tuesday that it is not for sale.
'MASS SURVEILLANCE': OpenAI CEO Sam Altman predicts that artificial general intelligence will lead to lower costs for many goods, but has also warned that AI could be leveraged by authoritarian governments aiming to control people.
TRANSLATED TRUTH: Whether you have an iPhone or an Android, these apps have got you covered with features like live speech translation, text input and even AI-powered sign and menu translation.
CONDOLEEZZA RICE, AMY ZEGART: DeepSeek’s new AI model is causing deep consternation from Silicon Valley to Washington. Few would have predicted that a little-known Chinese startup with a couple of hundred homegrown engineers would be able to release a frontier AI model rivaling the capabilities of America’s best and biggest tech companies – reportedly at a fraction of the cost and computational power.
SPEEDY ROBOT DOG: A Chinese team has unveiled a groundbreaking quadruped robot that is pushing the boundaries of robotics and speed.
Stay up to date on the latest AI technology advancements and learn about the challenges and opportunities AI presents now and for the future with Fox News here.
Two pioneers of artificial intelligence — John Hopfield and Geoffrey Hinton — won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is revolutionizing the way we work and live but also creates new threats for humanity.
Hinton, who is known as the godfather of artificial intelligence, is a citizen of Canada and Britain who works at the University of Toronto, and Hopfield is an American working at Princeton.
"These two gentlemen were really the pioneers," said Nobel physics committee member Mark Pearce. "They ... did the fundamental work, based on physical understanding which has led to the revolution we see today in machine learning and artificial intelligence."
The artificial neural networks — interconnected computer nodes inspired by neurons in the human brain — the researchers pioneered are used throughout science and medicine and "have also become part of our daily lives, for instance in facial recognition and language translation," said Ellen Moons, a member of the Nobel committee at the Royal Swedish Academy of Sciences.
Hopfield, whose 1982 work laid the groundwork for Hinton's, told The Associated Press Tuesday, "I continue to be amazed by the impact it has had."
Hinton predicted that AI will end up having a "huge influence" on civilization, bringing improvements in productivity and health care.
"It would be comparable with the Industrial Revolution," he said in an open call with reporters and officials of the Royal Swedish Academy of Sciences.
"Instead of exceeding people in physical strength, it’s going to exceed people in intellectual ability. We have no experience of what it’s like to have things smarter than us. And it’s going to be wonderful in many respects," Hinton said.
"But we also have to worry about a number of possible bad consequences, particularly the threat of these things getting out of control."
The Nobel committee also mentioned fears about the possible flipside.
Moons said that while it has "enormous benefits, its rapid development has also raised concerns about our future. Collectively, humans carry the responsibility for using this new technology in a safe and ethical way for the greatest benefit of humankind."
Hinton shares those concerns. He quit a role at Google so he could speak more freely about the dangers of the technology he helped create.
"I am worried that the overall consequence of this might be systems more intelligent than us that eventually take control," Hinton said.
For his part, Hopfield, who signed early petitions by researchers calling for strong control of the technology, compared the risks and benefits of machine learning to work on viruses and nuclear energy, capable of helping and harming society.
Neither winner was home when they received the news. Hopfield, who was staying with his wife at a cottage in Hampshire, England, said that after grabbing coffee and getting his flu shot, he opened his computer to a flurry of activity.
"I’ve never seen that many emails in my life," he said. A bottle of champagne and bowl of soup were waiting on his desk for him, he added, but he doubted there were any fellow physicists in town to join the celebration.
Hinton said he was shocked at the honor.
"I’m flabbergasted. I had no idea this would happen," he said when reached by the Nobel committee on the phone. He said he was at a cheap hotel with no internet.
Hinton, 76, helped develop a technique in the 1980s known as backpropagation that has been instrumental in training machines how to "learn" by fine-tuning errors until they disappear. It’s similar to the way a student learns from a teacher, with an initial solution graded and flaws identified and returned to be fixed and repaired. This process continues until the answer matches the network’s version of reality.
His team at the University of Toronto later wowed peers by using a neural network to win the prestigious ImageNet computer vision competition in 2012. That win spawned a flurry of copycats and was "a very, very significant moment in hindsight and in the course of AI history," said Stanford University computer scientist and ImageNet creator Fei-Fei Li.
"Many people consider that the birth of modern AI," she said.
Hinton and fellow AI scientists Yoshua Bengio and Yann LeCun won computer science’s top prize, the Turing Award, in 2019.
"For a long time, people thought what the three of us were doing was nonsense," Hinton told told the AP in 2019. "They thought we were very misguided and what we were doing was a very surprising thing for apparently intelligent people to waste their time on."
"My message to young researchers is, don’t be put off if everyone tells you what are doing is silly."
And Hinton himself uses machine learning in his daily life, he said.
"Whenever I want to know the answer to anything, I just go and ask GPT-4," Hinton said at the Nobel announcement. "I don’t totally trust it because it can hallucinate, but on almost everything it's a not-very-good expert. And that’s very useful."
Hopfield, 91, created an associative memory that can store and reconstruct images and other types of patterns in data, the Nobel committee said.
"What fascinates me most is still this question of how mind comes from machine," Hopfield said in a video posted online by The Franklin Institute after it awarded him a physics prize in 2019.
Hinton used Hopfield's network as the foundation for a new network that uses a different method, known as the Boltzmann machine, that the committee said can learn to recognize characteristic elements in a given type of data.
Bengio, who was mentored by Hinton and "profoundly shaped" by Hopfield’s thinking, told the AP that the winners both "saw something that was not obvious: Connections between physics and learning in neural networks, which has been the basis of modern AI."
He said he was "really delighted" that they won the prize. "It’s great for the field. It’s great for recognizing that history."
Six days of Nobel announcements opened Monday with Americans Victor Ambros and Gary Ruvkun winning the medicine prize for their discovery of tiny bits of genetic material that serve as on and off switches inside cells that could one day lead to powerful treatments for diseases like cancer.
The prize carries a cash award of $1 million from a bequest left by the award's creator, Swedish inventor Alfred Nobel. The laureates are invited to receive their awards at ceremonies on Dec. 10, the anniversary of Nobel’s death.
Nobel announcements continue with the chemistry prize on Wednesday and literature on Thursday. The Nobel Peace Prize will be announced Friday and the economics award on Oct. 14.
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