Aventurine Capital Group

Researchers are harnessing machine learning to design molecular-scale structures capable of complex tasks, like releasing drugs at precise moments. A recent breakthrough uses an optimized "spider" structure to open a tiny shell and release its contents—paving the way for innovations in drug delivery and gene editing. This study highlights how machine learning can reduce computational complexity, enabling artificial systems to perform dynamic biomolecular processes. It's a glimpse into the future of medicine and materials science, where advanced simulations and AI redefine what's possible. https://lnkd.in/g9BTzCit #MaterialsScience #MedTech #IP #VC #Patents #DeepTech

As the race to decarbonize accelerates, battery technology is at the heart of electrification—but current lithium-ion solutions face critical limits. Enter Molyon, a University of Cambridge spin-out pioneering lithium-sulfur (Li-S) batteries with the potential to double energy density and revolutionize performance. With sulfur’s abundance and the use of groundbreaking molybdenum disulfide (MoS2) cathodes, Molyon addresses supply chain challenges and long-standing stability issues that have hindered Li-S commercialization. Their patented approach stabilizes sulfur reactions, enabling batteries to last hundreds of cycles. Backed by $4.6M in seed funding, Molyon is building a pilot facility to scale this transformative technology. Initial applications will target mobility markets, like drones and robots, where lightweight, high-energy batteries are game-changers. This breakthrough underscores the importance of deep tech innovation in achieving Net Zero goals. https://lnkd.in/egu2f92g #Energy #MaterialsScience #RenewableEnergy #IP #VC #Patents

2023 marked a stark warning for the planet: it was the warmest year on record, with unprecedented ocean heat, rising sea levels, and rapid ice loss. Amidst the urgency to understand and combat climate change, clouds remain one of the greatest uncertainties in predicting our future. Their role in Earth's energy balance—reflecting sunlight and trapping heat—makes them critical yet complex components in climate models. Recent research reveals alarming changes: rising cloud tops amplifying warming and reductions in low clouds diminishing their cooling effects. These shifts could intensify extreme weather and heatwaves, underscoring the need for more precise models. As physicists and climate scientists decode the delicate dance of clouds, they provide invaluable insights to guide global action. https://lnkd.in/gQGKqSEK #Physics #ClimateChange #Climate

How does a baby learning to grasp compare to robots mastering dexterity? This thought-provoking journey highlights the profound parallels between human and machine development. From the "motor babbling" of newborns to the trial-and-error of robots learning to tie shoelaces, intelligence—human or artificial—starts with understanding the physical world. Advances in AI-powered robotics are unlocking new realms of dexterity, from folding laundry to delicate surgery, reshaping the possibilities of what machines can do. Yet, as robots learn from humans, they also redefine labor and ethics: Which tasks should machines handle, and which remain uniquely human? In robotics labs, hands are coming "online," learning not just actions but intentions through imitation and reinforcement. The same AI driving ChatGPT's conversations is guiding robots to peel eggs, tie shoes, and play Ping-Pong. It's exhilarating and unsettling—a future where knowledge, once confined to individuals, is shared instantly across machines. As we stand on this technological frontier, the question isn’t just how robots will learn from us—but how we’ll learn to live alongside them.? https://lnkd.in/gd7mPbDC #Robotics #AI #DeepTech

Quantum computing promises to revolutionize how we solve the most complex problems, from drug discovery to material science. While classical computers rely on binary logic, quantum computers harness phenomena like superposition and entanglement to exponentially expand computational possibilities. However, we’re still navigating the "noisy intermediate-scale quantum" era, where challenges like error correction and environmental interference hinder progress. Excitingly, researchers are leveraging AI to optimize quantum systems and even envision how quantum computing can transform AI itself, paving the way for breakthroughs in efficiency and accuracy. The intersection of these two technologies holds the potential to unlock new frontiers in science and industry. https://lnkd.in/g3pDFTuF' #Business #QuantumComputing #AI #Physics

Hurricane preparation just got a futuristic upgrade. Massachusetts Institute of Technology scientists have developed a groundbreaking method combining generative AI with physics-based flood modeling to create realistic satellite images of potential flooding before a storm hits. Tested in Houston, this approach accurately visualized post-storm conditions, helping residents better understand risks and make informed evacuation decisions. Dubbed the "Earth Intelligence Engine," this tool aims to provide hyper-local insights that are personal, relatable, and life-saving. Imagine a future where cutting-edge AI visualizations empower communities to prepare for climate impacts effectively. https://lnkd.in/gQWiuKuq #AI #ClimateChange #IP #Patents #VC #DeepTech

Quantum computing is inching closer to transforming material science, and the newly introduced V-score is here to measure its impact. Developed by a global research team led by Giuseppe Carleo, the V-score benchmarks both classical and quantum algorithms in solving the notoriously complex many-body problem. This new metric allows researchers to evaluate how algorithms perform in simulating material ground states, identifying where quantum computing might hold a real advantage. Open access and designed for evolution, the V-score database paves the way for collaborative progress in physics and computational innovation. As we explore the hardest problems in material science, the stage is set for quantum computing to deliver breakthroughs where it matters most. https://lnkd.in/gbktihmu #Quantum #QuantumComputing #IP #VC #Patents #Physics #DeepTech

Bridging biology and technology, researchers at the University of Chicago have developed a groundbreaking hydrogel semiconductor. This innovative material combines the flexibility and biocompatibility of hydrogels with the electronic properties of semiconductors, paving the way for advanced bioelectronic interfaces. From glucose monitors to pacemakers, these devices could become more efficient and safer, reducing immune responses and improving biosensitivity. The potential to enhance both data collection and compatibility with living tissues marks a significant step forward in biomedical technology. https://lnkd.in/gDdXRX4y #Biomedicine #IP #MaterialsScience #Patents #VC

Transforming Michigan's mining past into a hydroelectric future is no longer just an idea—it’s a vision gaining traction. Researchers at Michigan Technological University propose repurposing abandoned U.P. mines into pumped water storage systems, creating renewable energy reservoirs underground. By using this innovative approach, these mines could not only stabilize energy supply but also reduce costs for one of the nation's most expensive energy markets. With its rich history of mining and solid infrastructure, Michigan's Upper Peninsula might just lead the way in turning brownfields into green energy solutions. https://lnkd.in/gPim6GNs #RenewableEnergy #IP #Patents #VC #Energy #DeepTech

A breakthrough in bioelectronics: researchers have developed a hydrogel semiconductor that combines flexibility and conductivity, mimicking the softness of living tissues. This innovation offers improved biocompatibility and biosensitivity, paving the way for advanced implantable devices like glucose monitors and pacemakers. With further refinement, this material could revolutionize the interface between technology and the human body. https://lnkd.in/gPRyQRHY #Semiconductor #IP #VC #Patents #DeepTech