The Week In Review: Design


M&A ANSYS finalized its acquisition of OPTIS. Founded in 1989, OPTIS provided software for scientific simulation of light, human vision and physics-based visualization. The acquisition boosts the company's automotive simulation portfolio with radar, lidar and camera simulation. Terms were not disclosed. IP Arm debuted the Cortex-M35P processor. Aimed at IoT applications, the IP combine... » read more

Neural Nets In ADAS And Autonomous Driving SoC Designs


Automotive electronics has ushered in a new wave of semiconductor design innovation and one new technology gaining a lot of attention is neural networks (NNs). Advanced driving assistance systems (ADAS) and autonomous car designs now rely on NNs to meet the real-time requirements of complex object-recognition algorithms. The concept of NNs has been around since World War II, promising a futu... » read more

Deep Learning And The Future


Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to come.  That’s essentlially what our keynote speaker, Ty Garibay, did at the event. Ty is the CTO... » read more

More Nodes, New Problems


The rollout of leading-edge process nodes is accelerating rather than slowing down, defying predictions that device scaling would begin to subside due to rising costs and the increased difficulty of developing chips at those nodes. Costs are indeed rising. So are the number of design rules, which reflect skyrocketing complexity stemming from multiple patterning, more devices on a chip, and m... » read more

Processing Moves To The Edge


Edge computing is evolving from a relatively obscure concept into an increasingly complex component of a distributed computing architecture, in which processing is being shifted toward end devices and satellite data facilities and away from the cloud. Edge computing has gained attention in two main areas. One is the [getkc id="78" kc_name="industrial IoT"], where it serves as a do-it-yoursel... » read more

Choosing The Right Interconnect


Efforts to zero in on cheaper advanced packaging approaches that can speed time to market are being sidetracked by a dizzying number of choices. At the center of this frenzy of activity is the [getkc id="36" kc_name="interconnect"]. Current options range from organic, silicon and glass interposers, to bridges that span different die at multiple levels. There also are various fan-out approach... » read more

New Shifts In Automotive Design


Four big shifts in automotive design and usage are beginning to converge—electrification, increasing connectivity, autonomous driving and car sharing—creating a ripple effect across the automotive electronics supply chain. Over the past few years the electronic content of cars and other vehicles has surged, with electrical systems replacing traditional mechanical and electro-mechanical s... » read more

Mesh Networking Grows For ICs


Mesh networks were invented to create rich interaction among groups of almost-unrelated peers, but now they are showing up in everything from advanced chip packages to IoT networks. The flexibility of a many-to-many peer-connection model made the mesh approach a favorite for two-dimensional network-on-a-chip topologies, to the point where they began to supplant data-bus connections during th... » read more

The Week In Review: Design


Market research firm IC Insights says fabless IC suppliers accounted for 27% of the world’s IC sales in 2017—an increase from 18% ten years earlier in 2007. U.S. companies accounted for the greatest share of fabless IC sales last year at 53% (down, however, from 2010's share of 69%). Since 2010, the largest fabless IC marketshare increase has come from the Chinese suppliers, which captured ... » read more

When AI Goes Awry


The race is on to develop intelligent systems that can drive cars, diagnose and treat complex medical conditions, and even train other machines. The problem is that no one is quite sure how to diagnose latent or less-obvious flaws in these systems—or better yet, to prevent them from occurring in the first place. While machines can do some things very well, it's still up to humans to devise... » read more

← Older posts Newer posts →