System Bits: Dec. 11


Calculating the costs of autonomous vehicles The development of autonomous vehicle technology commands a lot of media coverage. Little reporting has been devoted to the costs of operating AVs, a subject that developers don’t discuss in general. The Houston-Galveston Area Council’s website recently divulged contract figures with two startups, Drive.ai and EasyMile. For Silicon Valley-bas... » read more

Power/Performance Bits: Dec. 11


Internet of Ears for smart buildings Scientists at Case Western Reserve University proposed a new way for smart homes to determine building occupancy: sensors that 'listen' to vibration, sound, and changes in the existing ambient electrical field. "We are trying to make a building that is able to 'listen' to the humans inside," said Ming-Chun Huang, an assistant professor in electrical engi... » read more

Manufacturing Bits: Dec. 4


Probing Mars Equipped with a CCD camera, a temperature probe and a seismic instrument, NASA's robotic system or lander recently landed on Mars. On Nov. 26, the robotic system--dubbed the Interior Exploration using Seismic Investigations, Geodesy and Heat Transport (InSight)--landed on Mars after nearly a seven-month, 300-million-mile (485-million-kilometer) journey from Earth. The lander t... » read more

Power/Performance Bits: Dec. 4


Bio-hybrid fungi Researchers at Stevens Institute of Technology combined a white button mushroom, electricity-producing cyanobacteria, and graphene nanoribbons into a power-generating symbiotic system. "In this case, our system - this bionic mushroom - produces electricity," said Manu Mannoor, an assistant professor of mechanical engineering at Stevens. "By integrating cyanobacteria that ca... » read more

System Bits: Dec. 4


High precision system for self-driving car navigation Based on technology developed by ETH Zurich researchers, Fixposition is a spin-off specializing in real-time navigation systems for use in self-driving vehicles, robots or industrial drones, which uses a combination of satellite-based positioning systems such as GPS with computer vision technologies to achieve an unparalleled degree of prec... » read more

Manufacturing Bits: Nov. 27


New kilogram definition After years of debate and scientific work, a group of delegates from 60 countries have voted to redefine four key unit measurements—the kilogram, electric current (ampere), temperature (kelvin), and the amount of substance (mole). The vote took place at the recent 26th General Conference of Weights and Measures. Hosted by the International Bureau of Weights and Mea... » read more

Power/Performance Bits: Nov. 27


Hybrid solar for hydrogen and electricity Researchers at the Lawrence Berkeley National Laboratory developed an artificial photosynthesis solar cell capable of both storing the sun's energy as hydrogen through water splitting and outputting electricity directly. The hybrid photoelectrochemical and voltaic (HPEV) cell gets around a limitation of other water splitting devices that shortchange... » read more

System Bits: Nov. 27


Silent, lightweight aircraft powered by ionic wind Instead of propellers or turbines, MIT researchers have built and flown the first-ever aircraft with no moving parts that is powered by an “ionic wind” — a silent but mighty flow of ions that is produced aboard the plane, and that generates enough thrust to propel the plane over a sustained, steady flight. [caption id="attachment_2414... » read more

Manufacturing Bits: Nov. 20


Predicting crystal structures A group of researchers have improved a crystal structure prediction algorithm, enabling the ability to develop new crystal structures and compounds at faster rates. In 2005, Artem Oganov, now a professor at the Skolkovo Institute of Science and Technology (Skoltech) and the Moscow Institute of Physics and Technology (MIPT), developed a crystal structure predic... » read more

Power/Performance Bits: Nov. 20


In-memory compute accelerator Engineers at Princeton University built a programmable chip that features an in-memory computing accelerator. Targeted at deep learning inferencing, the chip aims to reduce the bottleneck between memory and compute in traditional architectures. The team's key to performing compute in memory was using capacitors rather than transistors. The capacitors were paire... » read more

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