Click this link https://sponsr.is/bootdev_anastasi and use my code ANASTASI to get 25% off your first payment for boot.dev.
Timestamps:
00:00 — New computing paradigm.
10:02 — How this new chip works.
Continue reading “New Computer Breakthrough is Defying the Laws of Physics” »
In future, doctors hope the technology could revolutionise the treatment of conditions such as depression, addiction, OCD and epilepsy by rebalancing disrupted patterns of brain activity.
Jacques Carolan, Aria’s programme director, said: “Neurotechnologies can help a much broader range of people than we thought. Helping with treatment resistant depression, epilepsy, addiction, eating disorders, that is the huge opportunity here. We are at a turning point in both the conditions we hope we can treat and the new types of technologies emerging to do that.”
The trial follows rapid advances in brain-computer-interface (BCI) technology, with Elon Musk’s company Neuralink launching a clinical trial in paralysis patients last year and another study restoring communication to stroke patients by translating their thoughts directly into speech.
How tomorrow’s neuroscience could allow minds to synchronize their senses, motor skills, and dreams.
A research team from NIMS and the Japan Fine Ceramics Center (JFCC) has developed a next-generation AI device—a hardware component for AI systems—that incorporates an iono-magnonic reservoir. This reservoir controls spin waves (collective excitations of electron spins in magnetic materials), ion dynamics and their interactions.
The work is published in the journal Advanced Science.
The technology demonstrated significantly higher information processing performance than conventional physical reservoir computing devices, underscoring its potential to transform AI technologies.
When burned or used in fuel cells, hydrogen produces nothing but water, making it an ideal candidate for reducing global carbon emissions. Yet, most of the hydrogen produced today comes from fossil fuels, releasing significant amounts of carbon dioxide into the atmosphere. But now, researchers may have found a way to create carbon-free hydrogen.
A group of researchers, led by Professors Takashi Hisatomi and Kazunari Domen, built a 100-square-meter reactor that uses sunlight and photocatalysts to split water into hydrogen and oxygen. This process bypasses traditional photovoltaic-based methods, which convert sunlight into electricity before splitting water.
The new process relies on sheets of a photocatalyst called SrTiO3:Al, which are submerged in water. Sunlight activates the photocatalyst, splitting water into its molecular components. The gases can then be collected for storage and use. Because it utilizes sunlight for power, this method creates clean, carbon-free hydrogen.
Oregon’s Cascade Range is not just a scenic landscape of volcanic peaks – it also hides a massive underground aquifer filled with water.
Scientists from the University of Oregon and their collaborators have mapped this extensive water storage beneath the central Oregon Cascades and found it to be at least 81 cubic kilometers in size.
This discovery is significant because it reveals a water resource nearly three times the capacity of Lake Mead and more than half the volume of Lake Tahoe, reshaping our understanding of regional water supplies and volcanic processes.
A paper from Thales, dstl, and others advocates for quantum systems engineering to combines innovation with interdisciplinary collaboration.
Link :
Energy is one of the most important elements to any functioning society, and since our modern era of living uses so much power, the industry is always looking to evolve towards newer and more efficient solutions. Furthermore, given the environmental damage that often comes with many of our modern energy generation practices, people have been thinking outside the box to come up with ideas that are harmonious with mother nature.
Continue reading “These Anti-Solar Panels Don’t Require Daylight To Generate Power” »
The challenge for researchers is to develop the often complicated series of equations that are needed to describe these phenomena and ensure that they can be solved to recover information on the location of the objects over time. Often the systems of equations needed to describe such phenomena are based on partial differential equations: the series of equations that describe the location and time-evolution of a system are known as a distributed parameter system.
Mathematical models can help us not just understand historical behaviour but predict where the smoke particles will spread next.
Professor Francisco Jurado at the Tecnológico Nacional de México has been working on approaches to solve the problem of distributed parameter systems to describe diffusion–convection systems. He has recently developed an approach using a combination of approaches, including the Sturm-Liouville differential operator and the regulator problem, to develop a model for diffusion–convection behaviour that is sufficiently stable and free of external disturbances. Importantly, this approach allows us to yield meaningful information for real systems.
