Understanding these technologies through the lens of resilience, rather than just innovation, is critical for cybersecurity leaders planning for the coming decade.
The key cybersecurity issue of the coming decade will not prevent every breach. It will be about maintaining trust and resilience in an age of increasing digital interdependence.
Organizations that embrace adaptive risk management, quantum preparedness, responsible AI governance, and resilience-by-design will be well-positioned to succeed in the Acceleration Era. The future belongs not only to the most inventive but also to the most trustworthy and resilient businesses.
What if quantum information is more fundamental than space, time, matter, or even quantum mechanics itself?
Vlatko Vedral explores the implications of a Q-number-based reality for quantum gravity, pre-Big-Bang cosmology, the nature of time, and the possibility that quantum information lies beneath our deepest physical theories.
1:25 Quantum Gravity and Q Numbers. 4:30 Before the Big Bang. 7:42 Time, the Block Universe, and Q Numbers. 11:56 Quantum Mechanics at All Scales. 14:01 The Next Revolution in Physics.
Vlatko Vedral is a Serbian-born British physicist. He is best known for his contributions to quantum information theory, quantum mechanics, and quantum entanglement. He earned his Bachelor of Science and Doctor of Philosophy degrees from Imperial College London, where he graduated with a PhD.
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Closer To Truth, hosted by Robert Lawrence Kuhn and directed by Peter Getzels, presents the world’s greatest thinkers exploring humanity’s deepest questions. Discover fundamental issues of existence. Engage new and diverse ways of thinking. Appreciate intense debates. Share your own opinions. Seek your own answers. #CloserToTruth #Cosmos #VlatkoVedral #QuantumInformation #QuantumGravity.
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As AI continues to improve its reasoning abilities, mathematicians are increasingly worried about the computer algorithms replacing them. In late May, those fears got even worse when OpenAI revealed that one of its general-purpose reasoning models had written a proof solving a math problem that’s sat unsolved for more than 80 years. But should they actually be worried? Let’s take a look.
From ultra-flexible materials redefining brain-computer interfaces (BCIs) to record-shattering global out-licensing deals, China’s biopharmaceutical sector is undergoing a profound qualitative transformation. ShanghaiEye takes you inside the Yunfan Future Factory and the cross-discipline innovation hub hosted by Chia Tai Tianqing (CTTQ)—a subsidiary of top-50 global pharma giant Sino Biopharmaceutical—to explore the cutting-edge ecosystem driving the future of global healthcare.
We examine a breakthrough BCI technology developed in Shanghai: an ultra-flexible photoresist material for neural electrode arrays. Ye Tianyang, CEO and Co-Founder of Yunfan Future, explains how this material—engineered to be 1,000 times softer than the rigid alternatives utilized by Western counterparts like Elon Musk’s Neuralink—exponentially reduces tissue damage and immune rejection. With dozens of human clinical trials already successfully completed worldwide, this innovation highlights the immense strength of Shanghai’s local talent pool and medical device supply chain.
The feature also spotlights the strategic roadmap of China’s pharmaceutical leaders. Eric Tse, CEO of Sino Biopharmaceutical and Chairman of CTTQ, breaks down their vision to build an open, interdisciplinary incubator. This global nexus bridges experts, scholars, and upstream and downstream partners, transforming Shanghai into a premier launchpad for international innovative drugs. Furthermore, Mr. Tse discusses the \.
Brody is professor of neuroscience and molecular biology at Princeton University and a Howard Hughes Medical Institute Investigator. His research focuses is on novel quantitative behaviors that allow exploring high-level cognitive questions using powerful emerging tools for studying neural mechanisms in rodents. Brody’s group uses rats to investigate the neural bases of decision making, working memory, and executive control, using a combination of high-throughput semiautomated behavior as well as computational, electrophysiological, pharmacological and optogenetic methods.
Pengfei Sun et al. develop a spiking neural network with a dual memory pathway, co-designed with a custom neuromorphic chip. The approach delivers over 4× throughput and 5x energy efficiency gains while using 40–60% fewer parameters than state-of-the-art implementations.