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📣Just announced at [#GTC25](https://www.facebook.com/hashtag/gtc25?__eep__=6&__cft__[0]=AZXGE68SvdjQyRxtqhq57u6xDScMuziTjPrrOj7ic9_n1QMWssMuQdAZ4MLZmg3kpo3u92u-w_Z12HEaFeSJnvxJ_h_dNAloE8I86x4WxG8730kGwR10dtKo0yYVmS4GQdeMF0xu2E5mpp8VTUcHoNIO&__tn__=*NK-R): NVIDIA will be open-sourcing cuOpt, an AI-powered decision optimization engine.

âžĄïž [ https://nvda.ws/43REYuW](https://nvda.ws/43REYuW open-sourcing this powerful solver, developers can harness real-time optimization at an unprecedented scale for free.

The best-known AI applications are all about predictions — whether forecasting weather or generating the next word in a sentence. But prediction is only half the challenge. The real power comes from acting on information in real time.

That’s where cuOpt comes in.

CuOpt dynamically evaluates billions of variables — inventory levels, factory output, shipping delays, fuel costs, risk factors and regulations — and delivers the best move in near real time.

Unlike traditional optimization methods that navigate solution spaces sequentially or with limited parallelism, cuOpt taps into GPU acceleration to evaluate millions of possibilities simultaneously — finding optimal solutions exponentially faster for specific instances.

It doesn’t replace existing techniques — it enhances them. By working alongside traditional solvers, cuOpt rapidly identifies high-quality solutions, helping CPU-based models discard bad paths faster.

Researchers have unveiled the first real look at a mitochondrial protein strongly linked to Parkinson’s disease, revealing key details in how its malfunction might play a critical role in the disease’s progress.

Scientists have known for more than two decades that mutations in the gene for a protein called PTEN-induced putative kinase 1 (PINK1) can trigger early-onset Parkinson’s, but the mechanisms at play have remained a mystery.

A team of scientists from the Walter and Eliza Hall Institute of Medical Research (WEHI) in Australia used advanced imaging technology to not only determine the structure of PINK1, but to show how the protein attaches to cellular power houses and how they are activated.

Have you ever heard of—or even seen—red lightning? These are not animated characters but real atmospheric phenomena known as electrical discharges that occur high above thunderstorms. Scientists refer to them as “red sprites,” named for their jellyfish-like appearance and vivid red flashes. Now, imagine witnessing these mesmerizing displays over the world’s highest mountain range—the Himalayas.

On the night of May 19, 2022, two Chinese astrophotographers, Angel An and Shuchang Dong, captured a spectacular display of over one hundred over the Himalayas. The observation site, located on the southern Tibetan Plateau near Pumoyongcuo Lake—one of the region’s three sacred lakes—revealed a breathtaking celestial event.

Among the phenomena captured were dancing sprites, rare secondary jets, and the first-ever recorded case in Asia of green airglow at the base of the nighttime ionosphere, dubbed “ghost sprites.” This extraordinary event attracted global attention and was widely covered by major media outlets.

When light interacts with metallic nanostructures, it instantaneously generates plasmonic hot carriers, which serve as key intermediates for converting optical energy into high-value energy sources such as electricity and chemical energy. Among these, hot holes play a crucial role in enhancing photoelectrochemical reactions. However, they thermally dissipate within picoseconds (trillionths of a second), making practical applications challenging.

Now, a Korean research team has successfully developed a method for sustaining hot holes longer and amplifying their flow, accelerating the commercialization of next-generation, high-efficiency, light-to-energy conversion technologies.

The research team, led by Distinguished Professor Jeong Young Park from the Department of Chemistry at KAIST, in collaboration with Professor Moonsang Lee from the Department of Materials Science and Engineering at Inha University, has successfully amplified the flow of hot holes and mapped local current distribution in real time, thereby elucidating the mechanism of photocurrent enhancement. The work is published in Science Advances.

Prototyping large structures with integrated electronics, like a chair that can monitor someone’s sitting posture, is typically a laborious and wasteful process.

One might need to fabricate multiple versions of the chair structure via 3D printing and laser cutting, generating a great deal of waste, before assembling the frame, grafting sensors and other fragile electronics onto it, and then wiring it up to create a working device.

If the prototype fails, the maker will likely have no choice but to discard it and go back to the drawing board.

What if everything we thought we knew about cancer was wrong?

For decades, scientists have debated what really causes cancer. Is it genetic mutations, as the Somatic Mutation Theory suggests? Is it a metabolic dysfunction, as the Metabolic Theory argues? Or is there a deeper, overlooked truth—one that could redefine cancer treatment as we know it?

In this episode, Dr. Ralph Moss and Ben Moss break down the battle between competing cancer theories, why conventional wisdom is being challenged, and what the latest research is uncovering about cancer stem cells, metabolism, and the Warburg Effect.

đŸ”„ Are we on the verge of a breakthrough—or have we been on the wrong path all along?

📌 Subscribe for more in-depth discussions on cancer research and integrative medicine.

🔬 Resources & Further Reading:

D-Wave Quantum Inc. announced a scientific advance confirming its annealing quantum computer outperformed a powerful classical supercomputer in simulating complex magnetic materials. This achievement is documented in a peer-reviewed paper titled “Beyond-Classical Computation in Quantum Simulation,” published in Science.

The research indicates that D-Wave’s quantum computer completed simulations that would take nearly a million years and exceed the world’s annual electricity consumption if attempted with classical technology. The D-Wave Advantage2 prototype was central to this success.

An international team collaborated to simulate quantum dynamics in programmable spin glasses using both D-Wave’s system and the Frontier supercomputer at Oak Ridge National Laboratory, showcasing the quantum computer’s capability for swift and accurate simulation of various lattice structures and materials properties.

There is a growing desire to integrate rapidly advancing artificial intelligence (AI) technologies into Department of Defense (DoD) systems. AI may give battlefield advantage by helping improve the speed, quality, and accuracy of decision-making while enabling autonomy and assistive automation.

Due to the statistical nature of machine learning, a significant amount of work has focused on ensuring the robustness of AI-enabled systems at inference time to natural degradations in performance caused by data distribution shifts (for example, from a highly dynamic deployment environment).

However, as early as 2014, researchers demonstrated the ability to manipulate AI given adversary control of the input. Additional work has confirmed the theoretical risks of data poisoning, physically constrained adversarial patches for evasion, and model stealing attacks. These attacks are typically tested in simulated or physical environments with relatively pristine control compared to what might be expected on a battlefield.

The body you inhabit is made up of lots of moving parts that need to communicate with each other.

Some of this communication – in the nervous system, for example – takes the form of bioelectrical signals that propagate through the body to trigger the appropriate response.

Now, US researchers have discovered that the epithelial cells that line our skin and organs are able to signal the same way to communicate peril. They just use a long, slow ‘scream’, rather than the rapid-fire communication of neurons.

Researchers from Kyoto University have achieved a significant advancement in materials science by developing the world’s first three-dimensional van der Waals open frameworks (WaaFs). This innovation challenges the conventional belief that van der Waals interactions are too weak for open framework materials, demonstrating their potential for stable and highly porous materials.

Published in Nature Chemistry, the study presents a strategy using octahedral metal-organic polyhedra (MOPs) as building blocks to construct WaaFs. These frameworks exhibit high , exceptional porosity, and reversible assembly, opening new avenues for applications in gas storage, separation, and catalysis.

WaaFs utilize van der Waals interactions, which were previously considered too weak, to form robust three-dimensional frameworks. These structures maintain their integrity at temperatures up to 593 K and achieve surface areas exceeding 2,000 m2/g, making them highly stable and efficient for various industrial applications.