Deep learning model predicts waste accumulation and determines how often trash should be collected
Artificial intelligence has made a giant leap into our rubbish bins thanks to new technology being deployed at the University of South Australia.
Artificial intelligence has made a giant leap into our rubbish bins thanks to new technology being deployed at the University of South Australia.
Environment
Feb 27, 2023
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New methods to improve super-resolution imaging techniques are giving biologists a clearer and more complete view of the inner workings of living cells.
Cell & Microbiology
Jan 26, 2023
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75
Creating geological maps of planetary surfaces such as those on Mars is a complex process. From data collection and analysis to publication in different formats, the production of maps is based on a time-consuming, multi-step ...
Planetary Sciences
Jan 10, 2023
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53
In today's digital age, computational tasks have become increasingly complex. This, in turn, has led to an exponential growth in the power consumed by digital computers. Thus, it is necessary to develop hardware resources ...
Optics & Photonics
Jan 9, 2023
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241
X-ray diffraction (XRD) is an experimental technique to discern the atomic structure of a material by irradiating it with X-rays at different angles. Essentially, the intensity of the reflected X-rays becomes high at specific ...
Analytical Chemistry
Dec 22, 2022
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2
The cell is the basic structural and functional unit of life, with varying sizes, shapes, and densities. There are many different physiological and pathological factors that influence these parameters. It is therefore extremely ...
Cell & Microbiology
Nov 21, 2022
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15
Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
Subsurface permeability is a key parameter that controls the contribution of the subsurface flow to stream flows in watershed models. Directly measuring permeability at the spatial extent and resolution required by watershed ...
Earth Sciences
Sep 27, 2022
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Researchers have developed a new end-to-end neural network that can speed up the reconstruction of holographic images. Unlike other deep learning techniques, the approach can be used on samples not encountered during training, ...
Optics & Photonics
Sep 22, 2022
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NUS mathematicians have developed a new theoretical framework based on dynamical systems to understand when and how a deep neural network can learn arbitrary relationships.
Mathematics
Sep 14, 2022
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