Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device

In order to ensure safety in autonomous driving, it is necessary to perform object detection in real-time. Nevertheless, GPUs used in self-driving cars have to be cheap and power-efficient. It makes currently used object detection techniques incapable of performing this task.

Image credit: pxhere, CC0 Public Domain

A recent paper suggests combining network enhancement and pruning search with reinforcement learning. That way, the framework automatically generates unified schemes of network enhancement and pruning. The performance of models generated under the schemes is then fed back to the generator.

The system is flexible and can be customized down to the

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International Team of Scientists Propose a Method to Power the Earth with 100% Sustainable Energy

A new paper recently published in the international journal Energies explores the energy-related, technological, and consumption patterns necessary to achieve a sustainable future on this planet in a way that benefits everyone – human and otherwise.

Rather than portraying the current lack of sustainability as a function of the uptake of carbon emissions, the paper introduces a “Renewable Energy Equivalent Footprint” (REEF) which “depicts a hypothetical world in which the electricity and fuel demands are met entirely from renewable energy”.

The paper lays out how powering our civilisation in such a manner would require a large-scale electrification of the current

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AI-powered microscope could check cancer margins in minutes

When surgeons remove cancer, one of the first questions is, “Did they get it all?” Researchers from Rice University and the University of Texas MD Anderson Cancer Center have created a new microscope that can quickly and inexpensively image large tissue sections, potentially during surgery, to find the answer.

The microscope can rapidly image relatively thick pieces of tissue with cellular resolution and could allow surgeons to inspect the margins of tumors within minutes of their removal. It was created by engineers and applied physicists at Rice and is described in a study published in the Proceedings of the National

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Oxford University Reverse Engineers Jet Fuel from Carbon Dioxide

Researchers from Oxford University have recently published a new paper in the journal Nature Communications, introducing an experimental technique of turning carbon dioxide into jet fuel, which could become a climate game-changer in the near future.

The experimental technique was deployed in a stainless-steel reactor by adding heat (350 degrees Celsius) to citric acid, hydrogen, and a catalyst made of iron, manganese, and potassium to CO2 which came from a specialised container.

While the liquid fuel output reported in the study was only a few grams, the technique could be adapted to capturing large amounts of the greenhouse gas

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AI-designed serotonin sensor may help scientists study sleep and mental health

Serotonin is a neurochemical that plays a critical role in the way the brain controls our thoughts and feelings. For example, many antidepressants are designed to alter serotonin signals sent between neurons. In an article in Cell, National Institutes of Health-funded researchers described how they used advanced genetic engineering techniques to transform a bacterial protein into a new research tool that may help monitor serotonin transmission with greater fidelity than current methods. Preclinical experiments, primarily in mice, showed that the sensor could detect subtle, real-time changes in brain serotonin levels during sleep, fear, and social interactions, as well as test

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Research breakthrough could transform clean energy technology

By some estimates, the amount of solar energy reaching the surface of the Earth in one year is greater than the sum of all the energy we could ever produce using non-renewable resources.

The technology necessary to convert sunlight into electricity has developed rapidly, but inefficiencies in the storage and distribution of that power have remained a significant problem, making solar energy impractical on a large scale. However, a breakthrough by researchers at the University of Virginia, California Institute of Technology and the U.S. Department of Energy’s Argonne National Laboratory, Lawrence Berkeley National Laboratory and Brookhaven National Laboratory could eliminate

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