DeepSeek's latest technical paper, co-authored by the firm's founder and CEO Liang Wenfeng, has been cited as a potential ...
The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Space.com on MSNOpinion
Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
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