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Whether performed by a human or a computer, matrix multiplication is a tedious task. Researchers are battling to reduce the time and number of steps required to solve this type of operation. Excel spreadsheets, climate modeling, simulation of aircraft wing structure, neural network calculations, image processing.

How can we guarantee the reliability of quantum systems? This is the challenge being addressed by an ambitious European research project called VeriQuB, coordinated by the QAT team (Inria, École normale supérieure - PSL, CNRS) at the Inria Paris centre. Its aim is to identify new methods for verifying the performance of quantum computers using bosons.

In a recent study published in the journal Nature Medicine , a research team from Université Paris Cité, Inserm and AP-HP, led by Professor Alexandre Loupy at the Centre d'expertise de la transplantation multi-organ de Paris, has created an automated computer assistant that can correct 40% of misdiagnoses of allograft rejection in humans and better guide patient management .

In France, one third of emergency room visits are due to trauma. In order to better understand their mechanisms and improve their management, researchers from Inserm and the University of Bordeaux at the Bordeaux Population Health research center, together with teams from the Bordeaux University Hospital, have developed an algorithm capable of classifying emergency room visits due to trauma by analyzing clinical reports through artificial intelligence (GPT).

Without realising it, our brain continuously processes sounds and infers semantic information, such as the presence of birds in a tree based on hearing their song.

GPT Chat is the latest innovation in chatbots. Designed by OpenAI, GPT Chat uses one of the most advanced language processing models available to simulate a natural conversation with users. GPT Chat is able to adapt to a wide range of conversational topics and provide smooth, natural responses through its use of the GPT-3 (Generative Pre-training Transformer 3) model.

GPT Chat is the latest innovation in chatbots. Designed by OpenAI, GPT Chat uses one of the most advanced language processing models available to simulate a natural conversation with users. GPT Chat is able to adapt to a wide range of conversational topics and provide smooth, natural responses through its use of the GPT-3 (Generative Pre-training Transformer 3) model.

A CEA-Leti tutorial presented at IEDM 2022 highlighted promising advantages that resistive random-access memory (RRAM) technologies hold for implementing novel neuromorphic/in-memory computing systems for massively parallel, low-power and low-latency computation. In a presentation titled "Resistive Memories-Based Concepts for Neuromorphic Computing" , Elisa Vianello, CEA-Leti's edge AI program manager, said RRAMs, aka memristors, offer advantages in energy efficiency and computing power when processing AI workloads.

GRENOBLE, France - July 7, 2022 - Inspired by the barn owl's neuroanatomy, CEA-Leti has developed an event-driven, object-localization system that couples state-of-the-art piezoelectric, ultrasound transducer sensors to a neuromorphic, resistive memories-based computational map. Presented in a paper published recently in Nature Communications , the research team describes development of an auditory-processing system that increases energy efficiency by up to five orders of magnitude compared to conventional localization systems.

When we implement complex cognitive processes, for example when making decisions, we are subject to cognitive bias. But what about simpler processes, such as those involved in the most basic learning? In a new study analyzing data from all previous research in the field, researchers from Inserm and ENS-PSL show that not only are positivity and confirmation biases present even in the simplest human and animal cognitive processes, but also that incorporating them into learning algorithms would enhance their performance.

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.

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.

Papers at IEDM 2020 Explore Ways to Leverage 3D Technology's Strengths For Lowering Device Energy Consumption and Energy Lost in Data Transmission -GRENOBLE, France - Dec. CEA-Leti presented two papers this week at IEDM 2020 that confirm the advantages of combining 3D architectures and resistive-random-access-memories (RRAM) for in-memory computing (IMC), and their applications for Edge-AI and neural networks.

Invited paper at IEDM 2020 shows benefit of CEA-List's architectures in co-optimizing CEA-Leti's 3D toolbox to enable higher bandwidth & heterogeneity for high-performance processors. CEA Institutes Combine 3D Integration Technologies & Many-Core Architectures to Enable High-Performance Processors That Will Power Exascale Computing S AN FRANCISCO - Dec.

Sorbonne University Alliance Multidisciplinary research Mathematician Pascal Frey heads the Institute for Computational and Data Sciences (ISCD). Frey takes stock of ten years of interdisciplinary research and innovation around scientific computing, simulation and data analysis. The Institute is celebrating its tenth anniversary this year.

Artificial intelligence can make it possible to see astrophysical phenomena that were previously beyond reach. This has now been demonstrated by scientists from the CNRS, IRAM, Observatoire de Paris-PSL, Ecole Centrale Marseille and Ecole Centrale Lille, working together in the ORION-B 1 programme. In a series of three papers published in Astronomy & Astrophysics on 19 November 2020, they present the most comprehensive observations yet carried out of one of the star-forming regions closest to the Earth.

A team of interdisciplinary researchers has demonstrated that convex optimization is an effective mathematical and numerical tool for a daily estimate of the evolution of the reproductive number for Covid-19, over time and across regions. Monitoring the spread of the Covid-19 pandemic is one of the major challenges of the global health crisis.

The 'AI Chairs' aim to offer researchers substantial resources to build a team and carry out an ambitious project whose visible impact is expected. A multi-year program of 40 Chairs in Artificial Intelligence is one of the measures under this research component, which was presented on November 2018 by the Minister of Higher Education, Research and Innovation and the Secretary of State for Digital Technology.

Paper at ISSCC 2019 Presents Proof-of-Concept Multi-Bit Chip that Overcomes NVM's Read/Write, Latency and Integration Challenges SAN FRANCISCO - Feb. Researchers at CEA-Leti and Stanford University have developed the world's first circuit integrating multiple-bit non-volatile memory (NVM) technology called Resistive RAM (RRAM) with silicon computing units, as well as new memory resiliency features that provide 2.3-times the capacity of existing RRAM.