news
Computer Science - Jan 19
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. 18, 2021 - 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.
Astronomy - Jan 18
Two scientists from CNRS and Sorbonne University working at the Institute of Celestial Mechanics and Ephemeris Calculation (Paris Observatory - PSL/CNRS) have just shown that the influence of Saturn's satellites can explain the tilt of the rotation axis of the gas giant.
Life Sciences - Dec 29, 2020
Thanks to the marine worm Platynereis dumerilii , an animal whose genes have evolved very slowly, scientists from CNRS, Université de Paris and Sorbonne Université, in association with others at the University of Saint Petersburg and the Universit
Life Sciences - Dec 29, 2020
Thanks to the marine worm Platynereis dumerilii , an animal whose genes have evolved very slowly, scientists from CNRS, Université de Paris and Sorbonne Université, in association with others at the University of Saint Petersburg and the Universit
Computer Science - Dec 18, 2020
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. 18, 2020 - 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.
Category
Years
2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013
Results 1 - 20 of 31.
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. 18, 2021 - 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. 18, 2021 - 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.
Two scientists from CNRS and Sorbonne University working at the Institute of Celestial Mechanics and Ephemeris Calculation (Paris Observatory - PSL/CNRS) have just shown that the influence of Saturn's satellites can explain the tilt of the rotation axis of the gas giant. Rather like David versus Goliath, it appears that Saturn's tilt may in fact be caused by its moons.
Thanks to the marine worm Platynereis dumerilii , an animal whose genes have evolved very slowly, scientists from CNRS, Université de Paris and Sorbonne Université, in association with others at the University of Saint Petersburg and the University of Rio de Janeiro, have shown that while haemoglobin appeared independently in several species, it actually descends from a single gene transmitted to all by their last common ancestor.
Thanks to the marine worm Platynereis dumerilii , an animal whose genes have evolved very slowly, scientists from CNRS, Université de Paris and Sorbonne Université, in association with others at the University of Saint Petersburg and the University of Rio de Janeiro, have shown that while haemoglobin appeared independently in several species, it actually descends from a single gene transmitted to all by their last common ancestor.
Scientists Present In-Memory Computing Pathways for Edge-AI & Neural Networks with 3D Architectures & Resistive-RAM
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. 18, 2020 - 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.
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. 18, 2020 - 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.
CEA-Leti Papers at IEDM 2020 Highlight Progress in Overcoming Challenges
Gallium Nitride Seen as Highly Efficient Replacement for Silicon in Wide Range of Consumer and Industrial Uses GRENOBLE , France - Dec. 16, 2020 - Two complementary research papers from CEA-Leti confirmed that the institute's approach to gallium-nitride (GaN) technologies is on track overcome challenges in the architecture and performance of advanced GaN devices embedding a MOS gate, and targeting the fast-growing global market for power-conversion systems.
Gallium Nitride Seen as Highly Efficient Replacement for Silicon in Wide Range of Consumer and Industrial Uses GRENOBLE , France - Dec. 16, 2020 - Two complementary research papers from CEA-Leti confirmed that the institute's approach to gallium-nitride (GaN) technologies is on track overcome challenges in the architecture and performance of advanced GaN devices embedding a MOS gate, and targeting the fast-growing global market for power-conversion systems.
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.
Alzheimer’s Disease: Regulating Copper in the Brain Stops Memory Loss Among Mice
Alzheimer's disease is characterized by the presence of amyloid plaques 1 in the patient's brain. These plaques sequester copper, and contain approximately five times as much as a healthy brain. Two CNRS scientists from the Coordination Chemistry Laboratory recently developed, with their colleagues from the Guangdong University of Technology and Shenzhen University (China), a molecule that regulates the circulation of copper in the brain.
Alzheimer's disease is characterized by the presence of amyloid plaques 1 in the patient's brain. These plaques sequester copper, and contain approximately five times as much as a healthy brain. Two CNRS scientists from the Coordination Chemistry Laboratory recently developed, with their colleagues from the Guangdong University of Technology and Shenzhen University (China), a molecule that regulates the circulation of copper in the brain.
Was burial of the dead practiced by Neandertals or is it an innovation specific to our species? There are indications in favour of the first hypothesis but some scientists remain sceptical. For the first time in Europe, however, a multi-disciplinary team led by researchers at the CNRS and the Muséum national d'histoire naturelle (France) and the University of the Basque Country (Spain) 1 has demonstrated, using a variety of criteria, that a Neandertal child was buried, probably around 41,000 years ago, at the Ferrassie site (Dordogne).
Erosion of the frozen soil of Arctic regions, known as permafrost, is creating large areas of subsidence, which has catastrophic impact in these regions sensitive to climate change. As the mechanisms behind these geological events are poorly understood, researchers from the Géosciences Paris Sud (GEOPS) laboratory (CNRS / Université Paris-Saclay), in cooperation with the Melnikov Permafrost Institute in Yakutsk, Russia, conducted a cold room 1 simulation of landslides, or slumps, caused by accelerated breakdown of the permafrost.
Over the past 50 years, declining biodiversity has put many of nature's contributions to people at risk. This is the conclusion reached by fifteen leading international experts, including a French ethnoecologist 1 at the CNRS (French National Centre for Scientific Research).
The validation and application of theories in physics require the measurement of universal values known as fundamental constants. A team of French researchers 1 has just conducted the most accurate measurement to date of the fine-structure constant, which characterizes the strength of interaction between light and charged elementary particles, such as electrons.
A procedure that may help personalise anticancer therapies has just been developed by the CNRS, INSERM, and Aix-Marseille University scientists at the Centre d'Immunologie de Marseille-Luminy, in association with colleagues from the University of California San Francisco and the Marseille Public University Hospital System (AP-HM), with support from Canceropôle Provence-Alpes-Côte d'Azur.
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.
The Zika virus has spread around the world over the last decade, causing millions of infections, some of which have been associated with congenital abnormalities and neurological disorders. Scientists from the CNRS, the Institut Pasteur, and the IRD 1 turned their attention to the main vector of the virus, the mosquito Aedes aegypti .
How can we estimate the evolution of the reproductive number for Covid-19 in a better way?
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.
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.
Kolmogorovian Active Turbulence of a Sparse Assembly of Interacting Marangoni Surfers
Publication by Laboratoire de physique in Physical Review X on June 22, 2020. Abstract Active matter, composed of self-propelled entities, forms a wide class of out-of-equilibrium systems that display striking collective behaviors, among which, the so-called active turbulence where spatially and time-disordered flow patterns spontaneously arise in a variety of active systems.
Publication by Laboratoire de physique in Physical Review X on June 22, 2020. Abstract Active matter, composed of self-propelled entities, forms a wide class of out-of-equilibrium systems that display striking collective behaviors, among which, the so-called active turbulence where spatially and time-disordered flow patterns spontaneously arise in a variety of active systems.
Cyanobacteria, which are often called blue algae, can actually adopt colours ranging from green to orange via pink, depending on the dominant photosynthetic pigment in the cells of particular species. Not all cyanobacteria, however, capture light in the same way: Prochlorococcus , for example, the most abundant cyanobacterium in the ocean, preferentially absorbs violet and blue wavelengths, while its cousin Synechococcus captures blue, green or both, depending on its pigment type.
Astrophysicists consider that around 40% of the ordinary matter that makes up stars, planets and galaxies remains undetected, concealed in the form of a hot gas in the complexe cosmic web. Today, scientists at the Institut d'Astrophysique Spatiale (CNRS/Université Paris-Saclay) may have detected, for the first time, this hidden matter through an innovative statistical analysis of 20-year-old data. Their findings are published on November 6, 2020 in Astronomy & Astrophysics .
Magnets are to be found everywhere in our daily lives, whether in satellites, telephones or on fridge doors. However, they are made up of heavy inorganic materials whose component elements are, in some cases, of limited availability. Now, researchers from the CNRS, the University of Bordeaux and the ESRF (European Synchrotron Radiation Facility in Grenoble) 1 have developed a new lightweight molecule-based magnet, produced at low temperatures, and exhibiting unprecedented magnetic properties.
News from the Lab is a selection of science news that are significant or interesting for a broad readership.
Add this page to your bookmarks 
Add this page to your bookmarks