MIT’s Innovative Volumetric Approach: The Future of 3D Shape Mapping
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD. MIT…
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD. MIT…
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search…
A novel protocol for quantum computers could reproduce the complex dynamics of quantum materials. RIKEN researchers have created a hybrid quantum-computational algorithm that can efficiently…
Encoding breakthrough allows for solving wider set of applications using neutral-atom quantum computers. QuEra Computing and university researchers have developed a method to expand the…
The algorithm of a massive social media company provides mental health support to some, but at what expense? As TikTok continues to gain popularity, concerns…
Algorithm calculates how to effectively “repurpose” present-day therapies for future use. Researchers have developed an algorithmic tool, PHENSIM, which simulates tissue-specific infection of host cells…
Researchers create a trajectory-planning system that enables drones working together in the same airspace to always choose a safe path forward. When multiple drones are…
How do clouds shape the planet’s future? Clouds are not just fluffy white shapes in the sky. They are vital for regulating the earth’s climate,…
A quantum computing algorithm could identify better compounds for more efficient carbon capture. The amount of carbon dioxide in the atmosphere increases daily with no…
Researchers have achieved a breakthrough to enable ‘perfectly secure’ hidden communications for the first time. The method uses new advances in information theory methods to…
Although the brain’s architecture is very shallow, brain-inspired artificial neural networks’ learning capabilities can outperform deep learning. Traditionally, artificial intelligence stems from human brain dynamics….
Rice theorists have developed a method that can accurately predict the shapes of crystals that do not have symmetry. The shape of a crystal is…
A new general-purpose optimizer can speed up the design of autonomous systems including walking robots and self-driving vehicles. Since the fastidious Roomba vacuum, autonomous robots…
Scientists trained a machine learning tool to capture the physics of electrons moving on a lattice using far fewer equations than would typically be required,…
P versus NP Usually, you can verify a solution to a problem. Whether it’s using multiplication for division or plugging the answer in for a…
A new theory suggests that mutations have few straightforward ways to establish themselves in cells and cause tumors. For many researchers, the road to cancer…
Incorporating established physics into neural network algorithms helps them to uncover new insights into material properties According to researchers at Duke University, incorporating known physics…
As robots increasingly join people working on the factory floor, in warehouses, and elsewhere on the job, determining who will do which tasks increases in…