Week in Review: IoT, Security, Autos


Products/Services Arm released a survey of 650 industry representatives about eSIM and iSIM technology. Ninety percent of the respondents were aware of eSIM, while 43% were unaware of iSIM. Vincent Korstanje, vice president and general manager, Emerging Businesses at Arm, cites the leading three obstacles to large commercial deployments: Resistance from traditional stakeholders (69% of respond... » read more

Will In-Memory Processing Work?


The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits the effectiveness of cache. The result is the first serious assault on the von Neumann architecture, which for a computer was simple, scalable and modular. It separated the notion of a computatio... » read more

Power/Performance Bits: July 3


2D straintronics Researchers at the University of Rochester and Xi’an Jiaotong University dug into how 2D materials behave when stretched to push the boundaries of what they can do. "We're opening up a new direction of study," says Stephen Wu, assistant professor of electrical and computer engineering and physics at Rochester. "There's a huge number of 2D materials with different properti... » read more

Power/Performance Bits: Sept. 4


Preventing battery fires Researchers from Oak Ridge National Laboratory and the University of Rochester developed a method to prevent lithium-ion batteries from catching on fire when damaged. "In a lithium-ion battery, a thin piece of plastic separates the two electrodes," said Gabriel Veith, a research lead at ORNL. "If the battery is damaged and the plastic layer fails, the electrodes can... » read more

Mobile Machine Learning Hardware At Arm


Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency. However, machine learning is typically just one processing stage in complex end-to-end applications, which invol... » read more

Manufacturing Bits: Jan. 9


Two-photon lithography Lawrence Livermore National Laboratory (LLNL) has extended the capabilities of a high-resolution 3D printing technique called two-photon lithography (TPL). TPL enables the development of 3D-printed objects. LLNL’s technology could enable 3D-printed embedded structures inside the body, such as stents, joint replacements or bone scaffolds. It could also one day be ... » read more

System Bits: Oct. 31


Software enables cars to auto-report diagnostics Thanks to researchers at MIT, it may soon be possible to hop into a ride-share car, glance at a smartphone app, and tell the driver that the car’s left front tire needs air, its air filter should be replaced next week, and its engine needs two new spark plugs. [caption id="attachment_409967" align="alignnone" width="300"] A new smartphone a... » read more

System Bits: Oct. 29


Coupling photons with electrons With the potential to lead to the creation of materials whose electronic properties could be “tuned” in real time simply by shining precise laser beams at them, researchers at MIT have produced and measured a coupling of photons and electrons on the surface of an unusual type of material called a topological insulator. This type of coupling had been predicte... » read more