Frenzy At 10/7nm

The number of chipmakers rushing to 10/7nm is rising, despite a slowdown in Moore's Law scaling and the increased difficulty and cost of developing chips at the most advanced nodes. How long this trend continues remains to be seen. It's likely that 7/5nm will require new manufacturing equipment, tools, materials and transistor structures. Beyond that, there is no industry-accepted roadmap, m... » read more

System Bits: Aug. 8

Improving robot vision, virtual reality, self-driving cars In order to generate information-rich images and video frames that will enable robots to better navigate the world and understand certain aspects of their environment, such as object distance and surface texture, engineers at Stanford University and the University of California San Diego have developed a camera that generates 4D images... » read more

System Bits: June 27

Entangling photons for bug-proof communication With the increasing processing power of computers, conventional encryption of data is becoming increasingly insecure, reminded Fraunhofer researchers that are proposing one solution is coding with entangled photons. The team is developing a quantum coding source that allows the transport of entangled photons from satellites, expected to be an impo... » read more

Tech Talk: ISO 26262

Arteris' Kurt Shuler discusses what's changing in the automotive standard and how everything is supposed to work in the future. » read more

The Software Side Of Self-Driving

Just as the overall system complexity is causing ripples through the automotive supply chain so too is managing the system complexity, with software in particular. With so much new technology, and so many new ideas to keep track of, it would seem a huge undertaking by the automotive OEMs. In the midst of making decisions about the usual incremental improvements, the system architecture decis... » read more

System Bits: Oct. 4

Light deflection through fog In a development that could lead to computer vision systems that work in fog or drizzle, which have been a major obstacle to self-driving cars, MIT researchers have developed a technique for recovering visual information from light that has scattered because of interactions with the environment — such as passing through human tissue. This technology — called... » read more

System Bits: May 24

Controlling autonomous vehicles in extreme conditions In an approach that could help make self-driving cars of the future safer under hazardous road conditions, a Georgia Institute of Technology research team devised a way to help keep a driverless vehicle under control as it maneuvers at the edge of its handling limits. According to the team comprised of researchers from Georgia Tech’s D... » read more

Safe But Boring

Everybody’s talking about self-driving cars. That they are safer, better drivers than humans. That we can just be along for the ride. That it will save lives, and improve the quality of all of our lives. Insurance rates go down. The list goes on. In fact, self-driving cars are already here, to some extent. Just consider the features available today from Tesla, for example, that has alrea... » read more

Self-Driving Cars?

The dream of hopping in your car and lounging on a bench seat that faces sideways or backward while it delivers you to your destination is a really nice idea. It's akin to upgrading from economy class seat on an airline to your own private jet. But this idea also faces some huge hurdles. First and foremost is liability. If an autonomous vehicle gets into an accident, who's responsible? If it... » read more

Infrastructure, Then Integration

In any business and in any business segment, you have to start somewhere and then figure out what the likely end points will be and how to get there. It’s no different with the Internet of Things, except that the integration of different markets or applications is rather fuzzy at the moment. For example, it’s pretty easy to predict the possibilities for a car. It will likely move from co... » read more