Researchers at have designed and fabricated the world's smallest electro-optic modulator, which could mean major reductions in energy used by data centers and supercomputers.
Engineers at MIT have designed an artificial synapse in such a way that they can precisely control the strength of an electric current flowing across it, similar to the way ions flow between neurons. The team has built a small chip with artificial synapses, made from silicon germanium. In simulations, the researchers found that the chip and its synapses could be used to recognize samples of handwriting, with 95 percent accuracy.
One of the big challenges in computer architecture is integrating storage, memory and processing in one unit. This would make computers faster and more energy efficient. University of Groningen physicists have taken a big step towards this goal by combining a niobium doped strontium titanate (SrTiO3) semiconductor with ferromagnetic cobalt. At the interface, this creates a spin-memristor with storage abilities, paving the way for neuromorphic computing architectures. The results were published in Scientific Reports.
Researchers used the Wrangler supercomputer at the Texas Advanced Computing Center to uncover the root cause of the 'beta anomaly' -- a discrepancy between the expected return on high-risk assets and their actual return. The team found that investors who are attracted to the lottery-like characteristics of these stocks push their prices higher than theory would predict, thereby lowering their future returns.
A team of electrical engineers at The University of Texas at Austin, in collaboration with Peking University scientists, has developed the thinnest memory storage device with dense memory capacity, paving the way for faster, smaller and smarter computer chips for everything from consumer electronics to big data to brain-inspired computing.
From cars and bicycles to airplanes and space shuttles, manufacturers around the world are trying to make these vehicles lighter, which helps lower fuel use and lessen the environmental footprint. But with the industry relying on petroleum products to make carbon fiber today, could we instead use renewable sources?
The Center for Computational Oncology developed computer models to predict how cancer will progress in a specific individual, based on tissue, cellular and subcellular protein signaling responses. The models can predict how brain tumors (gliomas) will grow with much greater accuracy than previous models. Recently, the group began a clinical study to predict how an individual's cancer will progress after one cycle of therapy, and to use that prediction to plan the course of treatment.
Researchers have improved the control of a key robotic component to better ensure the safety of humans. They published their results in IEEE/CAA Journal of Automatica Sinica (JAS), a joint publication of the IEEE and Chinese Association of Automation. The team, based at Nankai University, China, focused on series elastic actuators.
Use your smartphone to check how clean the air is, whether food is fresh or a lump is malignant. This has all come a step closer thanks to a new spectrometer that is so small it can be incorporated easily and cheaply in a mobile phone. The little sensor developed at TU Eindhoven is just as precise as the normal tabletop models used in scientific labs. The researchers present their invention in Nature Communications.
The iCub humanoid robot represents a standardized common open-source platform for research on embodied artificial intelligence (AI). It is available in 36 copies in laboratories across Europe, USA, South Korea, Singapore and Japan and more than hundred researchers worldwide contribute to develop its skills. Research activities explored the whole spectrum of AI-related areas, ranging from control to machine learning, human-robot interaction, and language acquisition. It is one of the largest open-source teams in the world.