Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants without a plan or consultation is misconceived.
Award presented at CFA Society Toronto’s 68th Annual Investment Dinner (L-R) Chris Guthrie, CFA, President and CEO, CIO, Senior Portfolio Manager, Founding Partner, Hillsdale Investment Management; ...
In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers and research thinking by answering a series of questions. These responses ...
Tech Xplore on MSN
Autobot platform uses machine learning to rapidly find best ways to make advanced materials
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the ...
Amid high expectations for quantum technology, a new paper in Science reports a proven quantum advantage. In an experiment, entangled light has allowed researchers to learn a system's noise with very ...
The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, particularly in the context of localization and optimization problems. Their work ...
Even after a career spent at the forefront of AI research and development, I can say with confidence that we are in an unprecedented moment. While AI is undoubtedly the most disruptive technology of ...
Birds that are active during the day sing later into the night in places with significant light pollution, according to research by a Southern Illinois University Carbondale professor and his ...
A single structure built in the metal layers of an IC can implement both machine learning and analogue AI inferencing, according to a French team led by Grenoble lab CEA-Leti – and the CMOS below can ...
The research cell of Moodlakatte Institute of Technology Kundapur (MITK) organized the second international conference on Artificial Intelligence, machine learning, and data science, held over two ...
MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...
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