Solving 5G’s Thorniest Issues


5G rollouts are beginning to hit the market, accompanied by a long list of unsolved technical and business issues surrounding this next-generation wireless technology. But progress is being made on some of the key challenges facing this technology, even though not all of those solutions will be in place at launch. The real challenges are with millimeter-wave implementations of 5G, which oper... » read more

Reducing Your Fault Campaign Workload Through Effective Safety Analysis


As the automotive industry strives for greater levels of autonomous functionality, ICs will become integral in virtually every vehicle system. Companies previously embedded in non-safety critical markets are transitioning current technologies to the growing and rapidly evolving automotive market. These companies will face the unfamiliar challenges associated with having to enhance their IP to s... » read more

Where Should Auto Sensor Data Be Processed?


Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest because there is a long list of technological issues that still need to be resolved. One of the basic problems that still needs to be solved is how to process the tremendous amount of data coming from the variety of sensors in the vehicle, including cameras, radar, LiDAR and sonar. That data is the dig... » read more

High-Level Synthesis For Autonomous Drive


The sensors in autonomous vehicles continuously generate a high volume of data in real time about the environment surrounding the car. The vehicles need new hardware architectures to be able to process this data quickly and make decisions that enable self driving. Catapult, the industry’s leading High-Level Synthesis (HLS) platform, provides a new paradigm of designing silicon at a higher lev... » read more

Blog Review: July 31


Cadence's Meera Collier checks out a study that uses AI and natural language processing techniques to infer new discoveries in materials science from published academic literature and considers how it could be used in the future. Synopsys' Taylor Armerding considers whether the NIST Secure Software Development Framework, the latest standard aimed at improving software security, can succeed. ... » read more

Inferencing At The Edge


David Fritz, head of corporate strategic alliances at Mentor, a Siemens Business, shows how to apply YOLO (you only look once) at the edge, allowing automotive companies to move from a GPU to a much more efficient processor. That allows inferencing to move much closer to the sensor, so neural networks can be tailored to the type of data being produced. From there the data can be abstracted and ... » read more

Week In Review: Manufacturing, Test


Deals Apple will pay $1 billion to buy Intel's smartphone modem unit. Under the terms of the agreement, Apple will hire 2,200 Intel employees and acquire Intel's IP and equipment. The deal, expected to close in Q4, puts an end to Intel's attempts to win a piece of the smartphone market. But the chipmaker retains the right to develop modems for non-smartphone applications, including PCs, IoT de... » read more

Week In Review: Design, Low Power


CEVA acquired the Hillcrest Labs business from InterDigital. Hillcrest Labs supplies software and components for sensor processing in consumer and IoT devices. Hillcrest Labs' MotionEngine sensor processing software already runs on CEVA DSPs (as well as ARM and RISC-V cores) and enables high accuracy 6-axis and 9-axis sensor fusion, dynamic sensor calibration, and application specific features ... » read more

Week in Review: IoT, Security, Autos


Products/Services Siemens announced that Mazda Motor adopted the Capital electrical design software suite from Mentor, a Siemens Business, for the design of next-generation automotive electrical systems. Mazda is said to use Capital for model-based generative design for the electrical and electronic systems of the entire vehicle platform. Synopsys will host the 11th annual Codenomi-con USA ... » read more

Hardware-Software Co-Design Reappears


The core concepts in hardware-software co-design are getting another look, nearly two decades after this approach was first introduced and failed to catch on. What's different this time around is the growing complexity and an emphasis on architectural improvements, as well as device scaling, particularly for AI/ML applications. Software is a critical component, and the more tightly integrate... » read more

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