Showing 20 articles starting at article 361

< Previous 20 articles        Next 20 articles >

Categories: Computer Science: General, Mathematics: General

Return to the site home page

     (via sciencedaily.com)     Original source 

Whether you’re battling foes in a virtual arena or collaborating with colleagues across the globe, lag-induced disruptions can be a major hindrance to seamless communication and immersive experiences. That’s why researchers have developed new technology to make data transfer over optical fiber communication faster and more efficient.

     (via sciencedaily.com)     Original source 

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.

     (via sciencedaily.com)     Original source 

Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.

     (via sciencedaily.com)     Original source 

For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality and size of individual crops. Finding the optimal time to harvest is therefore a priority for farmers. A new approach making heavy use of drones and artificial intelligence demonstrably improves this estimation by carefully and accurately analyzing individual crops to assess their likely growth characteristics.

     (via sciencedaily.com)     Original source 

Researchers developed the first AI to date that can intelligently design robots from scratch by compressing billions of years of evolution into mere seconds. It's not only fast but also runs on a lightweight computer and designs wholly novel structures from scratch — without human-labeled, bias-filled datasets.

     (via sciencedaily.com)     Original source 

At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it for nonlinear analysis of extreme events in wall-bounded turbulent flows, which are pervasive in numerous physics and engineering applications and impact wind and hydrokinetic energy, among others. Results show the technique employed can be invaluable for accurately identifying the sources of extreme events in a completely data-driven manner.

     (via sciencedaily.com)     Original source 

A research team has provided irrefutable proof that certain spherical vortices exist in a stable state.

     (via sciencedaily.com)     Original source 

Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.

     (via sciencedaily.com)     Original source 

Scientists unveil exciting possibilities for the development of highly efficient quantum devices.

     (via sciencedaily.com) 

Researchers have developed a novel superconducting qubit architecture that can perform operations between qubits with much higher accuracy than scientists have yet been able to achieve. This architecture, which utilizes a relatively new type of superconducting qubit called fluxonium, is scalable and could be used to someday build a large-scale quantum computer.

     (via sciencedaily.com) 

New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics.

     (via sciencedaily.com) 

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers teamed up with industry and supercomputers to carry out one of the world's largest virtual drug screens.

     (via sciencedaily.com) 

New physics-based self-learning machines could replace the current artificial neural networks and save energy.

     (via sciencedaily.com) 

Scientists have shown that their steerable lung robot can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.

     (via sciencedaily.com) 

Building on work in human-computer interaction that aims to incorporate sustainability and reuse into the field, researchers introduce 'garbatrage,' a framework for prototype builders centered around repurposing underused devices.

     (via sciencedaily.com) 

A research team has harnessed the power of deep reinforcement learning to replicate the flow of water when disturbed. The replication allowed for recreating water flow in real time based on only a small amount of data, opening up the possibility for virtual reality interactions involving water.

     (via sciencedaily.com) 

A new generation of cloud services is on the rise. It is based on the paradigm of 'serverless computing'. A recent article deals with the history, status and potential of serverless computing.

     (via sciencedaily.com) 

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

     (via sciencedaily.com) 

Researchers combined soft microactuators with high-energy-density chemical fuel to create an insect-scale quadrupedal robot that is powered by combustion and can outrace, outlift, outflex and outleap its electric-driven competitors.

     (via sciencedaily.com) 

Researchers have grown a high-performing 2D semiconductor to a full-size, industrial-scale wafer. In addition, the semiconductor material, indium selenide (InSe), can be deposited at temperatures low enough to integrate with a silicon chip.