Lifeboat Foundation

A research team at Osaka Metropolitan University has fabricated a gallium nitride (GaN) transistor using diamond, which of all natural materials has the highest thermal conductivity on earth, as a substrate, and they succeeded in increasing heat dissipation by more than 2X compared with conventional transistors. The transistor is expected to be useful not only in the fields of 5G communication base stations, weather radar, and satellite communications, but also in microwave heating and plasma processing.

Researchers at Osaka Metropolitan University are proving that diamonds are so much more than just a ‘girl’s best friend.’ Their groundbreaking research focuses on gallium nitride (GaN) transistors, which are high-power, high-frequency semiconductor devices used in mobile data and satellite communication systems.

With the increasing miniaturization of semiconductor devices, problems arise such as increases in power density and heat generation that can affect the performance, reliability, and lifetime of these devices.

Icelandic researchers and scientists are on a mission to transform the renewable energy landscape by delving into the heart of a volcano.

They have set their sights on revolutionizing renewable energy by exploring the possibilities of drilling directly into a volcano’s magma chamber. The magma chamber is an underground reservoir where molten rock collects before exploding as lava.

The ambitious Krafla Magma Testbed (KMT) project aims to tap into a magma chamber of Krafla in northern Iceland by 2026.

Cutting-edge research paves way for cancer treatment.

Scientists have developed 3D mini-organs from human fetal brain tissue that self-organize in vitro. These lab-grown organoids open up a brand-new way of studying how the brain develops.

China is taking a new innovation to trial.

China’s innovative move: trials for a two-way charging system in major cities next year. Explore how electric vehicles might soon support the grid.

Electricity could be used to enhance a specific chemical reaction in the synthesis of prospective medicinal drugs.

As the world moves away from gas towards electricity as a greener power source, the to-do list goes beyond cars. The vast global manufacturing network that makes everything from our batteries to our fertilizers needs to flip the switch, too.

A study from UChicago chemists found a way to use electricity to boost a type of chemical reaction often used in synthesizing new candidates for pharmaceutical drugs.

Continue reading “Using electricity, scientists find promising new method of boosting chemical reactions” »

Google introduces AutoRT, SARA-RT, and RT-Trajectory.

Imagine having a personal helper robot that can tidy up your home or cook a tasty meal with just a simple request. Sounds futuristic, right? But for robots to understand and tackle these everyday tasks, they need a deep understanding of the world around them.

Google’s recent announcement brings us closer to this futuristic reality. They’ve unveiled a trio of advancements—AutoRT, SARA-RT, and RT-Trajectory—that push the boundaries of robotics research. These breakthroughs aim to help robots make faster decisions, comprehend their surroundings better, and move around more efficiently.

Continue reading “A new robot constitution that won’t kill humans by Google” »

Explore the digital archaeology of computing’s past with the unearthing of 86-DOS version 0.1-C, the oldest ancestor of MS-DOS

A code archaeologist has unearthed a treasure trove for tech historians: the oldest-known ancestor of Microsoft’s iconic MS-DOS.

Continue reading “Code archaeologist online unearths the origins of MS-DOS” »

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function.

To solve these difficult equations, researchers use high-fidelity numerical solvers, which can be very time consuming and computationally expensive to run. The current simplified alternative, data-driven surrogate models, compute the goal property of a solution to PDEs rather than the whole solution. Those are trained on a set of data that has been generated by the high-fidelity solver, to predict the output of the PDEs for new inputs. This is data-intensive and expensive because complex physical systems require a large number of simulations to generate enough data.

In a new paper, “Physics-enhanced deep surrogates for partial differential equations,” published in December in Nature Machine Intelligence, a new method is proposed for developing data-driven surrogate models for complex physical systems in such fields as mechanics, optics, thermal transport, fluid dynamics, physical chemistry, and climate models.

“We included 151 adults ages 21 to 70 years old with chronic back pain. We found that 66% of participants reported being pain-free or nearly pain-free after pain reprocessing therapy, compared with 20% of people who received a placebo.⁠”

Understanding that chronic back pain originates from within the brain could lead to quicker recovery, a new study finds.