Deep-sea mining: The trillion-dollar gamble that could scar the seafloor forever.
Deep-sea robots vacuum up critical minerals, but could this green energy shortcut unleash irreversible damage on fragile ocean ecosystems?
Deep-sea mining: The trillion-dollar gamble that could scar the seafloor forever.
Deep-sea robots vacuum up critical minerals, but could this green energy shortcut unleash irreversible damage on fragile ocean ecosystems?
End of the road for GPS? Image-based AI tool cuts navigation errors by nearly 40 times.
Global reliance on GPS has grown to the point where outages or signal interference can have serious consequences. From logistics and delivery fleets to aviation and defense, industries depend on precise navigation.
Yet GPS signals are vulnerable. Tall buildings, tunnels, jamming devices, or even atmospheric conditions can cause disruptions. By providing a GPS-free alternative, PEnG could make navigation more resilient and reliable.
The Surrey researchers argue that their work is as much about everyday convenience as it is about safety.
One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide and eventually turn into shapes – be they organs, wings or limbs.
Scientists have long explored this enormously complex process to make artificial organs or understand cancer growth – but precisely engineering single cells to achieve a desired collective outcome is often a trial-and-error process.
Harvard applied physicists consider the control of cellular organization and morphogenesis to be an optimization problem that can be solved with powerful new machine learning tools. In new research published in Nature Computational Science, researchers in the John A. Paulson School of Engineering and Applied Sciences (SEAS) have created a computational framework that can extract the rules that cells need to follow as they grow, in order for a collective function to emerge from the whole.
Questions to inspire discussion.
🤖 Q: What is Tesla’s vision for autonomous vehicles? A: Tesla is prioritizing a robo taxi future with Cybercab and potentially Robovan, likely to focus on producing robo vehicles over traditional cars in the near future.
📊 Q: How does the Model Y L fit into Tesla’s robotaxi plans? A: The Model Y L would be a good fit for the robo taxi network, offering a bigger car with more versatility that people want, even if they don’t need the space, and would be a hot seller in the US market.
Tesla’s Full Self-Driving Progress.
🚀 Q: How close is Tesla to achieving full self-driving? A: With version 14 of FSD almost complete and version 15 likely to be the final needed version within a year, Tesla is expected to fully commit to the robo taxi future.
🏢 Q: How has Tesla’s leadership approached the robotaxi strategy? A: Tesla’s executives previously resisted Elon Musk’s push to bet the company on robo taxis, but are now likely to fully commit given the progress in FSD development.
I had a concept for a new product, AI as a prepaid product. But I was unsure if it would be of interest to the industry that has been focused on the distribution of wireless, gift cards, and related products such as mobile handsets and accessories.
Long story short in the 90’s I was the marketing lead for a prepaid phone card startup. I was a part of the industry for almost a decade, I wrote for articles for the industry publications and was well known for building the phone card company through guerrilla marketing techniques, and developing one of the first electronic distribution systems for prepaid products and services. But I had kind of moved on to fintech and now AI.
So I wanted to test the waters before going crazy and marketing the product.
So I printed some marketing collateral, bought myself a razzle-dazzle new shirt, packed a bag and headed off to Caesars Palace, as I had previously done for so many years. I wanted to share my creation which I had kept in stealth mode until unveiling it at the show. I wanted it to be a complete surprise with no one knowing anything …
(https://open.substack.com/pub/remunerationlabs/p/introducing…Share=true)
I took my new Instant AI product to the prepaid industry to determine if it was there was a product market fit for this new concept I’ve created — And… they loved it!
Terence Tarnowsky, a physicist at Los Almos National Laboratory (LANL), will present his results at the fall meeting of the American Chemical Society (ACS). ACS Fall 2025 is being held Aug. 17–21; it features about 9,000 presentations on a range of science topics.
FOR IMMEDIATE RELEASE
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WASHINGTON, Aug. 18, 2025 — From electric cars to artificial intelligence (AI) data centers, the technologies people use every day require a growing need for electricity. In theory, nuclear fusion — a process that fuses atoms together, releasing heat to turn generators — could provide vast energy supplies with minimal emissions. But nuclear fusion is an expensive prospect because one of its main fuels is a rare version of hydrogen called tritium. Now, researchers are developing new systems to use nuclear waste to make tritium.