physical science

has anyone tried this game?

A new Science Robotics study highlights exoskeletons that allow... physical therapists and patients recovering from stroke to “feel” each other’s movements as they walk on separate treadmills, enabling nuanced gait correction.show more

DIY how to make paper lavender flowers

the fun of playing with balloons

the difference is very clear 🤣

Even the little things hurt

cute toy that can draw according to the picture

look at this, it doesn't have to be expensive

glow eyes effect art

Golden Retrievers are objectively the only breed that can... turn a physical assault into the most wholesome moment of your entire day. If you disagree, you clearly haven't been pounced on by a puppy lately. 😤🔥 🔥 Hot Take Rating: 10/10. Their energy is unmatched and they bring a level of joy that other breeds just struggle to replicate. It is science, really. #DogTruthsshow more

Don't miss the livestream of NVIDIA CEO Jensen Huang's... keynote at #NVIDIAGTC Taipei. Hear Jensen unveil the breakthroughs in physical AI, scaling infrastructure, science, and more — and what's driving the next generation of AI. It all starts here. 📍 Monday, June 1 | 11 a.m. Taipei Time 📍 Sunday, May 31 | 8 p.m. Pacific Time 🎥 Tune in for one of the biggest moments of GTC:show more

Wow, this is just Nuts! Moments ago, Trump's White... House Press Secretary Karoline Leavitt , when asked about Trump potentially abolishing the Department of Education, seems to say that science, social studies, s3x education, physical education, history, spelling, and other subjects shouldn’t be taught in schools in America. Seriously? Specifically she says: “As a mother of a child, I want an education system that helps my child read and write, teaches him math. NOTHING ELSE IN THE CLASSROOM.”show more

The FBI paid ARCCA to show how specific injuries... could be caused by specific physical evidence. ARCCA found that John’s injuries were 100% unrelated to both the damaged SUV taillight and the broken drinking glass. The Commonwealth did not like this hard truth that the FBI paid to prove. And because Michael Morrissey knew that science doesn’t respond to bribery, he chose to use taxpayer dollars to pay a lot of money to a lot of people to gaslight everyone’s intelligence, including Johns own family. •Martin, of Brother ⚖️Counsel, discusses all things ARCCA•👇🏼show more

🚨 AI JUST DESIGNED A MATERIAL STRONGER THAN STEEL,... LIGHTER THAN FOAM AND UP TO 5× STRONGER THAN TITANIUM. Researchers used machine learning to discover entirely new microscopic lattice structures that were then 3D-printed into carbon nanolattices. The result is a mechanical metamaterial that combines properties previously thought to be impossible together: extreme strength with ultra-low weight. Why this matters: • Aerospace and automotive industries could build dramatically lighter vehicles and aircraft without sacrificing strength • Construction and infrastructure could use stronger, lighter components • Medical implants and protective gear could become both tougher and more comfortable • It proves AI can now design physical matter at the structural level exploring geometries no human engineer would have thought of The deeper implication is huge: We are moving from discovering materials that already exist in nature… to inventing entirely new classes of matter with properties we specify. AI isn’t just writing code or generating images anymore. It’s helping us build the physical world from the inside out. What industry do you think will be transformed first by these AI-designed super-materials? Follow for more frontier science and future technology.show more

Landing accurately under parachute has historically been more art... than science. We're changing that with physical AI. The flexibility of the fabric has traditionally made modeling performance and controllability extremely difficult. By using the latest computer vision and AI models, we have been able to accurately track the movements and shape of the canopy across more than a hundred flights, variable control inputs, and changing flight conditions. The tracking remains effective through visual disruptions, canopy deflections, and changes in vehicle orientation. We feed this data back into our 8-DOF models to better tune Arc's GNC algorithms for the highest accuracy landing in a wide range of flight conditions. This, along with other updates, has reduced landing error by 90%. We're aiming for the controllability of a metal wing with a piece of fabric.show more

🚨 SCIENTISTS MAY HAVE FOUND A WAY TO DESTROY... VIRUSES WITH SOUND Researchers in Brazil report that high-frequency ultrasound was able to physically damage and destabilize both COVID-19 and influenza viruses in laboratory experiments. Not with chemicals. Not with drugs. With vibration. The idea sounds almost futuristic: target the virus at the exact frequency where its outer structure begins to resonate… until the оболope becomes unstable and ruptures. Like an opera singer shattering glass but at the microscopic level. What makes this so fascinating is that the attack isn’t aimed at the virus’s genetics… it’s aimed at its physical structure. Its shape. Its resonance. Its mechanical weakness. If this technology continues to develop, future medicine may start combining: AI-guided ultrasound targeting non-invasive antiviral therapies precision acoustic medicine frequency-based treatments We may be entering an era where sound itself becomes a medical tool. And that changes how we think about fighting disease entirely. Follow for more future science and medical breakthroughs.show more

Yesterday at Brown University ICERM's workshop on “Agentic Scientific... Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.show more

🚨 DIAMOND IS ABOUT TO REPLACE SILICON IN NEXT-GEN... CHIPS. Scientists are now producing large single-crystal CVD diamond wafers that could revolutionize electronics. Diamond conducts heat 5× better than copper and over 10× better than silicon while also handling extreme voltages, high frequencies, and radiation. Why this matters: • Thermal Superpower: Diamond acts as its own heat sink, solving one of the biggest problems in high-power chips • Ultra Wide Bandgap: Handles massive voltage and extreme temperatures without breaking down • High Frequencies: Electrons move incredibly fast, perfect for 6G, radar, and advanced telecom • Radiation Hardness: Ideal for satellites, space tech, and nuclear applications The deeper implication is massive: We’re at the early stages of a materials revolution. As silicon hits its physical limits with heat and power, diamond one of the most extraordinary materials in nature could power the next era of AI chips, electric vehicles, and aerospace systems. What do you think will diamond semiconductors become mainstream in the 2030s? Follow for more frontier materials science and future technology.show more