Automotive Relationships Shifting With Chiplets


The automotive industry is in the midst of a tremendous and rapid change on many fronts. OEMs are exploring new functions and features to add to their vehicles, including chiplets, electrification, autonomous features, as well as new vehicle architectures that will determine how vehicles are going to be designed from the foundation up. All of this is dependent on the relationships between all o... » read more

Machine Vision Plus AI/ML Adds Vast New Opportunities


Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to "see" far more than just pixel data from sensors, and opening up new opportunities across a wide swath of applications. In recent years, startups have been able to raise billions of dollars as new MV ideas come to light in markets ranging from transportation and manufacturing to heal... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Qualcomm signed a definitive agreement to acquire fabless semiconductor company Autotalks, maker of automotive-qualified vehicle-to-everything (V2X) SoCs, processors, sensors, V2X RF transceivers, and other products for use in automatic braking and cooperative perception systems (where a vehicle can see what another vehicle is seeing). Autotalks’ V2X products are dual-m... » read more

Holistic Power Reduction


The power consumption of a device is influenced by every stage of the design, development, and implementation process, but identifying opportunities to save power no longer can be just about making hardware more efficient. Tools and methodologies are in place for most of the power-saving opportunities, from RTL down through implementation, and portions of the semiconductor industry already a... » read more

Designing Crash-Proof Autonomous Vehicles


Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

Week In Review: Design, Low Power


Arm advanced its progress toward an initial public offering, confidentially submitting a draft registration statement on Form F-1 to the U.S. Securities and Exchange Commission. The size and price range for the proposed offering have yet to be determined. Graphene IDM Paragraf acquired Cardea Bio, a maker of graphene-based biocompatible chips. Cardea has developed a biosignal processing unit... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing Microsoft and AMD are working together on an AI processor, according to a report in Bloomberg. Tenstorrent adopted Arteris IP’s Ncore and FlexNoC interconnect IP for its AI RISC-V chiplets. The chiplets will be configurable for different uses and workloads. Some use cases include AI high-performance computing for data center, such as cloud servers, and edge devices and... » read more

How Safe Is Safe Enough?


That was the overarching question a group of 180 experts discussed last week at the ISO 26262 & SOTIF conference for four days during #FuSaWeek2023 in Berlin. "How Safe is Safe Enough" is also the title of Prof. Koopman's book from September 2022. I mentioned him in my blog "Are We Too Hard On Artificial Intelligence For Autonomous Driving?" Prof. Koopman was referenced often in Berlin, and... » read more

ML Automotive Chip Design Takes Off


Machine learning is increasingly being deployed across a wide swath of chips and electronics in automobiles, both for improving reliability of standard parts and for the creation of extremely complex AI chips used in increasingly autonomous applications. On the design side, the majority of EDA tools today rely on reinforcement learning, a machine learning subset of AI that teaches a machine ... » read more

Data Leakage Becoming Bigger Issue For Chipmakers


Data leakage is becoming more difficult to stop or even trace as chips become increasingly complex and heterogeneous, and as more data is stored and utilized by chipmakers for other designs. Unlike a cyberattack, which typically is done for a specific purpose, such as collecting private data or holding a system ransom, data leaks can spring up anywhere. And as the value of data increases, th... » read more

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