They swear they haven't peeked at the closely guarded secret and that they'll keep the cryptographic competition going. On a blustery March day, the artist Jim Sanborn received visitors at his studio on an isolated island in the Chesapeake Bay. The visitors sat him down in front of a laptop, and he typed in a secret message. They compressed the message using a unique hash function, sent that to the cloud, and wiped the laptop clean. Sanborn hoped that this action would set him free.

Claire chatted to Edward Mehr from Machina Labs about their RoboCraftsman that shapes complex metal parts for the aerospace, defence, and automotive industries. Edward Mehr is an entrepreneur and engineer specializing in advanced manufacturing, robotics, and artificial intelligence. As the Co-Founder and CEO of Machina Labs, he leads efforts to integrate AI-driven robotics into flexible, on-demand production systems. Under his leadership, Machina Labs is reshaping how industries such as aerospace, defence, and automotive approach metal forming and modern manufacturing. Before founding Machina Labs, Ed worked at leading technology companies, including Relativity Space, Averon, SpaceX, Google, and Microsoft.

Why Real-Life Disclosure Day Will Look Nothing Like Steven Spielberg's New Movie Previous landmark scientific discoveries like the Higgs boson provide a better template for what it will take to confirm whether aliens have made contact with Earth. Steven Spielberg's new film imagines the moment 8 billion humans find out that we are not alone in the universe. The movie, which opens in US theaters on June 12, is a fictional account of the government cover-up and subsequent "disclosure" of evidence that aliens have contacted Earth. The UFO community has been chasing that type of cinematic big reveal for 80 years. But it's more likely that monumental scientific discoveries, like the detection of the Higgs boson in 2012 and the confirmation of gravitational waves in 2016, are a better guideline for how real-world disclosure is likely to play out: through long-running research and with verifiable results.

This work introduces a novel approach, Pairwise Epistemic Estimators (PairEpEsts), for epistemic uncertainty estimation in ensemble models for regression tasks using pairwise-distance estimators (PaiDEs). By utilizing the pairwise distances between model components, PaiDEs establish bounds on entropy. We leverage this capability to enhance the performance of Bayesian Active Learning by Disagreement (BALD). Notably, unlike sample-based Monte Carlo estimators, PairEpEsts can estimate epistemic uncertainty up to 100 times faster and demonstrate superior performance in higher dimensions. To validate our approach, we conducted a varied series of regression experiments on commonly used benchmarks: 1D sinusoidal data,,,, and, demonstrating PairEpEsts' advantage over baselines in high-dimensional regression active learning.

SpaceX to list on US stock market at $1.77tn valuation in largest ever debut IPO for Elon Musk's company comes in what is predicted to be a banner year for public offerings of AI companies SpaceX will become publicly traded on Friday after nearly two and a half decades as a private company. Executives are slated to ring the bell on Wall Street with the rocket ship maker's historic stock market debut. If all goes to plan, the company's initial public offering (IPO) will mint a valuation of $1.77tn - earning it the designation of the world's largest ever IPO. Elon Musk, the founder and CEO of SpaceX, has a large stake in the company as majority shareholder, so if investors' enthusiasm validates the eye-popping valuation, he would take the title of the world's first-ever trillionaire. Musk is also the CEO of Tesla, which is valued at $1.2tn.

It's how the company has worked from the start. Brian Manning encountered SpaceX's culture of extreme ownership from day one as an engineer at the rocket maker . After a one-hour onboarding session a decade ago, he got his first assignment: Design a small part by the next day. "The way I looked at it is having very clear responsibility, autonomy, and accountability," says Manning, who aced the task and spent about two years at the company. "Rather than hiring people and telling them how to do it, they give people full ownership to make things happen."

Pokemon Go became a worldwide hit after its launch - but players may not know that their game data trained AI that will potentially help military drones during war. Pokemon Go became a worldwide hit after its launch - but players may not know that their game data trained AI that will potentially help military drones during war. Fri 12 Jun 2026 03.06 EDTLast modified on Fri 12 Jun 2026 03.38 EDT An AI model trained on data collected from users of Pokémon Go will potentially help military drones find their location in war zones. Pokémon Go, a 2016 augmented reality mobile game, allowed players to find and catch Pokémon in the real world using the cameras on their mobile phones, and exploded in popularity. In 2018, the company reported having more than 800m downloads worldwide.

Physics-Informed Neural Networks (PINNs) have emerged as a powerful framework for solving partial differential equations (PDEs). However, standard MLP-based PINNs often fail to converge when dealing with complex initial value problems, leading to solutions that violate causality and suffer from a spectral bias towards low-frequency components. To address these issues, we introduce NeuSA (Neuro-Spectral Architectures), a novel class of PINNs inspired by classical spectral methods, designed to solve linear and nonlinear PDEs with variable coefficients. NeuSA learns a projection of the underlying PDE onto a spectral basis, leading to a finite-dimensional representation of the dynamics which is then integrated with an adapted Neural ODE (NODE). This allows us to overcome spectral bias, by leveraging the high-frequency components enabled by the spectral representation; to enforce causality, by inheriting the causal structure of NODEs, and to start training near the target solution, by means of an initialization scheme based on classical methods. We validate NeuSA on canonical benchmarks for linear and nonlinear wave equations, demonstrating strong performance as compared to other architectures, with faster convergence, improved temporal consistency and superior predictive accuracy.

Game Theory: How does Esmir Bajraktarevic's penalty become a story about survival? How does a football penalty become a story about survival? As Bosnia and Herzegovina prepare to face Canada in their 2026 World Cup opener, many eyes will be on Esmir Bajraktarevic. Born in the US, to a family affected by the Srebrenica genocide, his journey is about far more than just football. Why are World Cup tickets so expensive?

As awareness grows, more Japanese adults are receiving answers to struggles that went unrecognized for years. Social camouflaging can help neurodivergent people navigate social situations, but researchers say the effort often comes with significant emotional and mental strain. The first major crisis in Yosuke's life came when he stood in front of his students. Until then, the 24-year-old had navigated his life with few obstacles. He had done well in school, scored highly on IQ tests and graduated from university without any major issues. But after securing his dream job as a geography and history teacher at a girls' high school two years ago, cracks began to show. "I couldn't read the room," says Yosuke, who recalls struggling to organize course materials and wrap up classes on time.