A joint team of researchers led by scientists at King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has reported the fastest quantum random number generator (QRNG) to date based on international benchmarks. The QRNG, which passed the required randomness tests of the National Institute of Standards and Technology, could produce random numbers at a rate nearly a thousand times faster than other QRNG.
“This is a significant leap for any industry that depends on strong data security,” said KAUST Professor Boon Ooi, who led the study, which is published in Optics Express. KAUST Professor Osman Bakr also contributed to the study.
Random number generators are critical for industries that depend on security, such as health, finance, and defense. But the random number generators currently used are vulnerable because of an intrinsic flaw in their design.
UBTech’s consumer shift comes as it faces financial strain. The company lost over 1.1 billion yuan ($153 million) last year. Its stock has fallen 45% over the past 12 months in Hong Kong.
Still, Tam welcomes the pressure. “White-hot competition creates a lot of pressure on a single company, but for the whole industry, it helps preserve good companies and eliminate bad ones,” he told Bloomberg.
As humanoid robots inch closer to everyday life, UBTech’s shift to the home market marks a high-stakes bet.
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computationalalgorithms that rely on repeatedrandom sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where the primary developer of the method, mathematician Stanisław Ulam, was inspired by his uncle’s gambling habits.
Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution. They can also be used to model phenomena with significant uncertainty in inputs, such as calculating the risk of a nuclear power plant failure. Monte Carlo methods are often implemented using computer simulations, and they can provide approximate solutions to problems that are otherwise intractable or too complex to analyze mathematically.
Monte Carlo methods are widely used in various fields of science, engineering, and mathematics, such as physics, chemistry, biology, statistics, artificial intelligence, finance, and cryptography. They have also been applied to social sciences, such as sociology, psychology, and political science. Monte Carlo methods have been recognized as one of the most important and influential ideas of the 20th century, and they have enabled many scientific and technological breakthroughs.
Kurzweil co-founded Beyond Imagination in 2018 with Harry Floor, a scientist and film producer, to develop autonomous A.I. systems capable of physical labor. The company is building humanoid robots aimed at addressing labor shortages in sectors such as health care and agriculture. Its advisory board includes motivational speaker Tony Robbins, former Qualcomm CEO Paul Jacobs, and former Paramount Pictures CEO James Gianopulos.
Between 2018 and 2019, the startup raised $4.2 million in seed funding and was most recently valued at $25 million, per Crunchbase. Reuters reported that its upcoming valuation could reach $500 million, with Gauntlet Ventures—a Dallas-based venture capital firm—expected to be the sole investor in the new round.
“The backing of these global financial institutions is a testament to the strength of our business and the resonance of our mission,” Krishna Rao, Anthropic’s finance chief, said in a statement.
The team turned AlphaEvolve loose on Google’s Borg cluster management system for its data centers. The AI suggested a change to the scheduling heuristics, which has been implemented to save Google 0.7 percent on its computing resources globally. For a company the size of Google, that’s a significant financial benefit.
AlphaEvolve may also be able to make generative AI more efficient, which is necessary if anyone is ever going to make money on the technology. The internal workings of generative systems are based on matrix multiplication operations. The most efficient way to multiply 4×4 complex-valued matrices was devised by mathematician Volker Strassen in 1969, and that held for decades, but DeepMind says AlphaEvolve has discovered a new algorithm that’s even more efficient. DeepMind has worked on this problem before with narrowly trained AI agents like AlphaTensor. Despite being a general AI, AlphaEvolve came up with a better solution than AlphaTensor.
Google’s next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created a change to the chip’s Verilog hardware description language that dropped unnecessary bits to increase efficiency. Google is still working to verify the change but expects this to be part of the upcoming processor.
In this episode, Dr. Michael Levin, Distinguished Professor of Biology at Tufts University, joins Nathan to discuss embodied minds, his research into limb regeneration and collective intelligence, cognitive light cones, and much more. Dr. Levin and the Levin Lab work at the intersection of biology, artificial life, bioengineering, synthetic morphology, and cognitive science.
LINKS: The Levin Lab and Dr. Michael Levin’s research: https://drmichaellevin.org/resources/ Dr Michael Levin’s blog: https://thoughtforms.life/about/ Tufts University Faculty Profile: https://as.tufts.edu/biology/people/f… Levin @ Wyss Institute: https://wyss.harvard.edu/team/associa… Dr. Levin’s Research on Limb Regeneration: https://news.uchicago.edu/how-bioelec… SPONSORS: The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention “Cog Rev” for 10% off www.omneky.com NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you’re looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist. X/SOCIAL @labenz (Nathan)@drmichaellevin (Michael) @CogRev_Podcast TIMESTAMPS: (00:00) Preview (01:07) Intro and brief summary (05:40) Xenobots, anthrobots and the other creatures created by Mike Levin (09:39) Bioelectric memory rewriting (15:01) Sponsor | BraveSearch API (16:09) The difficulty of conducting simulations, which involve running forward passes to predict and alter electrical patterns (20:30) The concept of backpropagation and mode switching in AI models (23:06) Why humans do not regenerate their limbs (37:10) Sponsor | Netsuite (39:40) Learning from small and biological systems onto the concept of possible emergence (45:16) The criticality of multiple scale questions and would a single scale? (55:49) The concept of the cognitive light cone (59:43) Advice on habits of mind and suggestions for inspiration on the AI side (1:13:36) Mike’s suggested directions for the AI developers (1:24:49) Wrap & Sponsor | Omneky The Cognitive Revolution is produced by Turpentine: a media network covering technology, business, and culture. Producer: Vivian Meng Editor: Graham Bessellieu For sponsor or guest inquiries, email: [email protected] Music licenses: ABZUSWHJII08TSRH 376I29BQPJASOLX2 Michael Levin @ Wyss Institute: https://wyss.harvard.edu/team/associa… Dr. Levin’s Research on Limb Regeneration: https://news.uchicago.edu/how-bioelec…
SPONSORS: The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api.
Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention \.
Hundreds of thousands of Americans are now at risk of identity theft and fraud after a major data breach at a human resources firm.
In a new filing with the Office of the Maine Attorney General, Maryland-based Kelly Benefits says it has discovered a significant cybersecurity incident impacting 413,032 people.
The company says an internal investigation revealed that an unknown entity gained unauthorized access to its database and stole sensitive customer information, including names, dates of birth, Social Security numbers, tax ID numbers, medical and health insurance records and financial account datasets.
Figure AI, the robotics company aiming to build the first commercially viable humanoid worker, recently announced it secured a staggering $675 million in funding from some of the biggest names in tech and venture capital, including Jeff Bezos, Microsoft (NASDAQ:MSFT), Nvidia (NASDAQ:NVDA), OpenAI, and Intel (NASDAQ:INTC). Now valued at $2.6 billion, the San Jose, California-based startup is in talks with United Parcel Service (NYSE:UPS) to integrate its humanoid robots into the global shipping g
