AI Technology & Industry Review
A team from Google Research, Stanford University, University of Massachusetts, University of California, Columbia University, Princeton University, Max Planck Institute for the Physics of Complex Systems and University of Oxford uses a quantum processor to observe a time crystal, a new phase of matter which could be one of the most significant physical discoveries in decades.
A research and development team from ContinualAI, including a large group of researchers from KU Leuven, ByteDance AI Lab, University of California, New York University and other institutions, proposes Avalanche, an End-to-End Library for Continual Learning based on PyTorch.
Researchers from Google, Georgia Tech and Emory University examine the semantic changes in abolitionist newspapers and explore whether the papers exhibited leadership or were followers, providing an overall picture of their network of semantic influence.
A team from Qualcomm AI proposes the direct mapping of a deep neural network onto an optical quantum computer through the language of quantum field theory, paving the way for the future development of novel quantum neural network architectures.
UC Berkeley, Facebook AI Research and New York University researchers’ Multiple Sequence Alignments (MSA) Transformer surpasses current state-of-the-art unsupervised structure learning methods by a wide margin.
Stanford researchers’ DERL (Deep Evolutionary Reinforcement Learning) is a novel computational framework that enables AI agents to evolve morphologies and learn challenging locomotion and manipulation tasks in complex environments using only low level egocentric sensory information.
ImHex’s creator says his trending hex editor is aimed at “Reverse Engineers, Programmers and people that value their eyesight when working at 3 AM.”
Researchers achieved world-class interface smoothness with a-axis YBa2Cu3O7-x/PrBa2Cu3O7-x/YBa2Cu3O7-x trilayers grown on (100) LaAlO3 substrates.
Facebook AI is building an automatic differentiation system for the Kotlin programming language and developing a system for tensor typing.
CoRL 2020 kicked off yesterday and runs virtually through November 18. This year saw 475 papers submitted, a 20 percent rise over 2019.
NeurIPS 2020 released its list of accepted papers this week with Google, Stanford, and MIT as the top affiliations.
Researchers introduce an isolated nanoscale electronic circuit element that can perform nonmonotonic operations and transistorless all-analogue computations.
Researchers analyzed different subareas of CADD process with a focus on anticancer drugs.
Researchers proposed an optimized deep learning algorithm for detecting sensory events occurring during stimulation of the nerves using a stretchable and flexible electrocorticography (ECoG) electrode.
According to Chinese media Zhidongxi, from the second quarter of this year to July 23, public record shows 77 semiconductor-related financing activities in China.
Researchers revealed a circuit mechanism, in which BNST modulated the NAc, exerting a direct effect on anxiety.
Interactive sensors and actuators, with the “intelligence” of sensing the environment and responding accordingly, are essential for human-machine interaction. However, it remains a critical challenge for a long time.
There are one trillion synapses in a cubic centimeter of the brain. If there is such a thing as General AI, it would probably require one trillion synapses.
Researchers have addressed the challenge of comprehensive, dynamic manipulation of particles and cells in a microchannel by integrating acoustofluidics, physics and fabrication of phononic crystals on the microscale.
A research group from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences has developed a “smart” contact lens that can show real-time changes in moisture and pressure by altering colors.
Cruciform Thin-film Microrobot (CTM) could realize double-modal motion and environmental adaptive functions through a programmable external magnetic field.
In the seminal 1996 paper Light Field Rendering, Levoy and Hanrahan describe a representation for light fields that allows for both efficient creation and display.
A team of researchers from CMU and Technion recently introduced a new system, Penrose, that can turn complex mathematical notations into various styles of simple diagrams.
Zurich-based student and aspiring full-stack software engineer Vincent Dörig has taken LaTeX to the website level with his GitHub project LaTeX.css.
Respected journal Science Magazine has published COVID-19 research that identifies the viral entry attachment stage for the new coronavirus.
The new goal of the Folding@home project is modelling the structure of SARS-CoV-2 spike protein to identify sites that can be targeted by a therapeutic antibody.
“In epidemiology analysis, the relationship between people in space and time is very important,” explains Bao Jie, head of the JD Group city data management platform, “and human activity trajectories are a typical form of spatiotemporal data.”
A new paper from the University of Washington Seattle and the University of California, Berkeley looks at saddle points on Riemannian Manifolds. In this article Synced takes a deep dive into this important research.
Researchers have proposed DiffTaichi, a new differentiable programming language based on Taichi and specially tailored for building high-performance differentiable physical simulators.
New research now suggests scientists may have severely underestimated the power and potential of our neurons.