विज्ञान समाचार

Researchers release solar power data software to increase clean energy generation
2024-01-17 22:13:33
A lot can happen to solar panels that are mounted on a roof—from tree branches casting shade over them to a neighbor's baseball cracking one.
A non-proliferation solution: Using antineutrinos to surveil nuclear reactors
2024-01-17 22:13:32
Nuclear power constitutes an essential source of energy in many countries worldwide, including France, U.S., China, and Japan, among others. While nuclear power plants have less environmental impact than coal power plants with regards to climate change, the technology employed in them can be used for undesirable purposes, namely the production of materials for nuclear weapons.
Artificial 'power plants' harness energy from wind and rain
2024-01-17 18:38:39
Fake plants are moving into the 21st century. Researchers developed literal "power plants"—tiny, leaf-shaped generators that create electricity from a blowing breeze or falling raindrops—and described them in ACS Sustainable Chemistry & Engineering. The team tested the energy harvesters by incorporating them into artificial plants.
Electrostatic generator to produce renewable energy from flexible structures
2024-01-17 18:38:39
To shapeshift into the yoga pose called "destroyer of the universe," a human must gumby a leg behind their neck to point their toes directly at the sky. For non-gumbys, that feat might seem superhuman or even metahuman—is that a person or a pretzel? Now, an ultraflexible metamaterial could perform equally super feats to generate clean energy from the abundant but often overlooked energy that vibrates through our world.
Your fingerprint is actually 3D—research into holograms could improve forensic fingerprint analysis
2024-01-17 15:38:59
When you use your fingerprint to unlock your smartphone, your phone is looking at a two-dimensional pattern to determine whether it's the correct fingerprint before it unlocks for you. But the imprint your finger leaves on the surface of the button is actually a 3D structure called a fingermark.
Using AI to develop a battery that uses less lithium
2024-01-17 15:38:59
A team of AI researchers at Microsoft working with colleagues from Pacific Northwest National Laboratory has used AI to develop a battery that uses less lithium. Together, they have published a paper describing their work on the arXiv preprint server.
2023 टेक्नोड कंटेंट टीम वार्षिक अंतर्दृष्टि: एआई का जंगली वर्ष · टेक्नोड
2024-01-17 15:15:47
TechNode सामग्री टीम से वार्षिक अंतर्दृष्टि के लिए तैयार हो जाइए!वर्ष 2023 को प्रौद्योगिकी क्षेत्र में एक अभूतपूर्व वर्ष माना जा सकता है।लपेटन के रूप में
The solution space of the spherical negative perceptron model is star-shaped, researchers find
2024-01-17 13:36:32
Recent numerical studies investigating neural networks have found that solutions typically found by modern machine learning algorithms lie in complex extended regions of the loss landscape. In these regions, zero-energy paths between pairs of distant solutions can be established.
Researchers create artificial neural network for drones to optimize energy consumption
2024-01-16 22:19:14
Future generation networks must provide high transmission speeds and flexible coverage. One way to do this is through networks of unmanned aerial vehicles, or drones. They operate in the millimeter wave range. But the use of a wide range of antennas and higher losses during signal propagation are disadvantages. All this requires energy, and drone batteries have limited capacity.
Advancing high-speed electromagnetic suspension: A scheme for enhanced stability, track irregularity suppression
2024-01-16 22:16:58
The maglev train represents a type of modern urban rail transit transportation tool, boasting many technical advantages such as low noise, green environmental protection, small turning radius, good stability and high comfort. These advantages are due to the suspension mode of the train.
New method for addressing the reliability challenges of neural networks in inverse imaging problems
2024-01-16 22:16:58
Uncertainty estimation is critical to improving the reliability of deep neural networks. A research team led by Aydogan Ozcan at the University of California, Los Angeles, has introduced an uncertainty quantification method that uses cycle consistency to enhance the reliability of deep neural networks in solving inverse imaging problems.
Dual-metal sulfides found to improve overall function of anode material in lithium-ion capacitors
2024-01-16 22:16:57
The use of dual metal sulfides, specifically ZnS/CuS, shows marked improvement in electrochemical stability and performance when included in the design of flexible lithium-ion capacitors over the use of transition metal sulfides and carbon fiber materials.
Computer scientists makes noisy data: Can it improve treatments in health care?
2024-01-16 21:33:15
University of Copenhagen researchers have developed software able to disguise sensitive data such as those used for machine learning in health care applications. The method protects privacy while making datasets available for the development of better treatments.
Team develops a new deepfake detector designed to be less biased
2024-01-16 21:33:15
The image spoke for itself. University at Buffalo computer scientist and deepfake expert Siwei Lyu created a photo collage out of the hundreds of faces that his detection algorithms had incorrectly classified as fake—and the new composition clearly had a predominantly darker skin tone.
Researchers propose new scheme for Internet of Things that uses fog computing
2024-01-16 21:33:15
Researchers from RUDN University have proposed a new scheme for the Internet of Things network. It uses flying drones that process data instead of cloud data centers, which speeds up the network. The results were published in Drones.
Improving energy efficiency of Wi-Fi networks on drones using slime mold method and a neural network
2024-01-16 19:02:47
The demand for high-quality wireless communications is growing along with the number of applications and devices. One way to provide such a network is to use a system of drone routers. Such a system would be useful, for example, in situations where it is necessary to quickly and simultaneously provide a signal to a large area—during natural disasters, large-scale incidents, and public events.
Investigating quantum computing and machine learning as effective tools in fluid dynamics
2024-01-16 19:02:47
To prevent aircraft stalls, engineers have long studied the flow of air over airfoils such as airplane wings to detect the angles when flow separation occurs. Recently, a team of researchers at Shanghai Jiao Tong University, including Xi-Jun Yuan and Zi-Qiao Chen, investigated the use of quantum computing in connection with machine learning as a more accurate way of solving such problems.
From cannabis harvest to flexible solar panels: Using organic electronics to develop next-gen devices
2024-01-16 17:34:31
Organic electronics—electronics where the active material is carbon-based—are making possible diverse new technologies ranging from sensors for monitoring cannabinoid levels in cannabis plants to lightweight, bendable solar panels. Real-world applications could result in solar panels you roll up and take with you on your next camping trip, or cannabis producers knowing the optimal time to harvest plants.
Discovery enables cost-effective and eco-friendly green hydrogen production
2024-01-16 16:21:46
A breakthrough technology has been developed that enables the production of green hydrogen in a more cost-effective and environmentally friendly manner, bringing us closer to a carbon-neutral society by replacing expensive precious metal catalysts.
Africa's chance for green electricity
2024-01-16 16:21:45
A joint study by the University of Tübingen, the Senckenberg Society for Nature Research, the University of Osnabrück and the University of Rwanda has found that 80% of the energy required in Africa could come from renewable sources by 2040—if the capacity of existing power plants were fully utilized and all the plants currently on the drawing-board were built. The international study has been published in the journal Nature Reviews Earth & Environment.

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