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Physics - Computer Science - 02.08.2021 
New viable means of storing information for quantum technologies?
Quantum information could be behind the next technological revolution. By analogy with the bit in classical computing, the qubit is the basic element of quantum computing. However, demonstrating the existence of this information storage unit and using it remains complex, and hence limited.
Computer Science - 08.02.2021 
Recognizing liars from the sound of their voice?
Faster speech rate, greater intensity in the middle of the word, and falling pitch at the end of the word: that is the prosody 1 to adopt if one wants to come across as reliable and honest to one's listeners. Scientists from the Science and Technology for Music and Sound laboratory (CNRS/Ircam/Sorbonne Université/Ministère de la Culture) 2 and the Perceptual Systems Laboratory (CNRS/ENS PSL) have conducted a series of experiments 3 to understand how we decide, based on the voice, whether a speaker is honest and confident, or on the contrary dishonest and uncertain.
Computer Science - 19.01.2021
Computer Science
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Quantum information could be behind the next technological revolution. By analogy with the bit in classical computing, the qubit is the basic element of quantum computing. However, demonstrating the existence of this information storage unit and using it remains complex, and hence limited.
Faster speech rate, greater intensity in the middle of the word, and falling pitch at the end of the word: that is the prosody 1 to adopt if one wants to come across as reliable and honest to one's listeners. Scientists from the Science and Technology for Music and Sound laboratory (CNRS/Ircam/Sorbonne Université/Ministère de la Culture) 2 and the Perceptual Systems Laboratory (CNRS/ENS PSL) have conducted a series of experiments 3 to understand how we decide, based on the voice, whether a speaker is honest and confident, or on the contrary dishonest and uncertain.
CEA-Leti Reports Machine-Learning Breakthrough That Opens Way to Edge Learning
Article in Nature Electronics Details Method that Takes Advantage of RRAM Non- Idealities To Create Intelligent Systems that Have Potential Medical-Diagnostic Applications -GRENOBLE, France - Jan. CEA-Leti scientists have demonstrated a machine-learning technique exploiting what have been previously considered as "non-ideal" traits of resistive-RAM (RRAM) devices, overcoming barriers to developing RRAM-based edge-learning systems.
Article in Nature Electronics Details Method that Takes Advantage of RRAM Non- Idealities To Create Intelligent Systems that Have Potential Medical-Diagnostic Applications -GRENOBLE, France - Jan. CEA-Leti scientists have demonstrated a machine-learning technique exploiting what have been previously considered as "non-ideal" traits of resistive-RAM (RRAM) devices, overcoming barriers to developing RRAM-based edge-learning systems.
