Cybersecurity Risks Of Automotive OTA


Modern vehicles increasingly resemble supercomputers on wheels, with many electronic control units (ECUs) networked together as increasingly sophisticated software is installed and updated. Similar to smartphones, vehicle OEMs will contact vehicle owners remotely about operating system updates that add new features and/or fixes, as well as software bugs and vulnerabilities. But all of this h... » read more

Challenges And Solutions In Chip Design


Ansys is hosting IDEAS Digital Forum 2022, a no-cost virtual event that brings together industry executives and technical design experts to discuss the latest in EDA for Semiconductors, Electronics, and Photonics. The December 6th on-line event starts with Keynote addresses from Raja Koduri from Intel, Pankaj Kukkal from Qualcomm, and insights into the metaverse from DP Prakash with start-up... » read more

Blog Review: Nov. 9


Cadence's Claire Ying finds that the latest update to CXL, which introduced memory-centric fabric architectures and expanded capabilities for improving scale and optimizing resource utilization, could change how some of the world’s largest data centers and fastest supercomputers are built. Synopsys' Gervais Fong and Morten Christiansen examine the latest updates in the USB 80Gbps specifica... » read more

Next Steps For Improving Yield


Chipmakers are ramping new tools and methodologies to achieve sufficient yield faster, despite smaller device dimensions, a growing number of systematic defects, immense data volumes, and massive competitive pressure. Whether a 3nm process is ramping, or a 28nm process is being tuned, the focus is on reducing defectivity. The challenge is to rapidly identify indicators that can improve yield... » read more

AI Feeds Vision Processor, Image Sensor Boom


Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, increasingly it is connected to vision processors developed at the most advanced process nodes. That allows for the highest performance per watt, and it also allows designs to incorporate AI accelera... » read more

Chip Industry Earnings: A Mixed Bag


Editor's Note: Updated the week of Oct. 31 and Nov. 7 for additional earnings releases. Although most companies reported revenue growth, this latest round of chip industry earnings releases reflected a few major themes: Lower future quarter guidance to varying degrees, due to the recent U.S. export restrictions related to China; Negative impact of the inflationary environment on corn... » read more

Blog Review: Sept. 7


Cadence's Paul McLellan shares highlights from the recent Hot Chips tutorial on CXL and how enhanced memory pooling enables new memory usage models as CXL 3.0 approaches the same speed as DRAM. Synopsys' Sam Tennent and Kamal Desai highlight the emergence of virtual prototyping, its synergy with continuous integration and development setups, and the benefits when these disciplines are combin... » read more

Challenges Mount In New Autos


Electronics are becoming the primary differentiator for carmakers, adding an array of options that can alter everything from how a vehicle's occupants interact with their surroundings to how the vehicle drives. But the infrastructure needed to support these features also raises a slew of technology and business questions for which there are no simple answers today. For example, how will new ... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility California will ban the sale of new gasoline vehicles so that by 2035 100% of new cars and light trucks sold in California will be zero-emission vehicles. NXP Semiconductors announced multi-year supply agreements for its S32 family. Agreements to supply the S32 domain and zonal automotive processors to OEMs will include upcoming 5nm ASIL-D processors. Keysight Techno... » read more

New Uses For AI In Chips


Artificial intelligence is being deployed across a number of new applications, from improving performance and reducing power in a wide range of end devices to spotting irregularities in data movement for security reasons. While most people are familiar with using machine learning and deep learning to distinguish between cats and dogs, emerging applications show how this capability can be use... » read more

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