Just as desktop PCs acquired some of the functions performed by room-sized mainframes, a Stanford team has prototyped a silicon chip that packs some of the punch delivered by current particle accelerators.
New Insights Into Old Chemical Concepts Using DFT
Recent progress in density functional theory provide new insights for chemical concepts like electrophilicity, nucleophilicity, regioselectivity, stereoselectivity, and more.
Magnetic Particles Enable Reversible Bending, Twisting, Grabbing Materials
Programmable smart materials, which can be reversibly controlled through magnetically-induced heating and actuation.
Improving Image Recognition to Accelerate Machine Learning
By combining two types of memory arrays, researchers can accelerate image recognition for more efficient machine learning.
Advancing Cross‐point Memory Technology [Video]
Researchers design a high-performance threshold switching selector based on silver nanodots.
Electronics that Imitate Life: A Sensing Robotic Hand
Intrinsic or tightly integrated sensing, actuation, and computation embedded into 3D structures could enable a new generation of truly smart and complex systems, such as robots that have human-like dexterity.
Teaching Machines to Think Like Humans
An artificial neural network based entirely on memristors is developed.
Superconducting Nanowires for Single Photon Detection
An updated overlook at one of the most promising building blocks for quantum technologies: fast and efficient single photon detectors.
Swarm Robots Move Toward Real-World Applications
Inspired by swarm behavior in nature, researchers have developed a robot swarm with the ability to overcome the constraint of off-line resources.
Flexible Memristive Devices for Mimicking Synaptic Plasticity
A novel solution-processing organic flexible synaptic device with bidirectional linear conductance regulation.