AI’s Blind Spots


The rush to utilize AI/ML in nearly everything and everywhere raises some serious questions about how all of this technology will evolve, age and perform over time. AI is very useful at doing certain tasks, notably finding patterns and relationships in broad data sets that are well beyond the capabilities of the human mind. This is very valuable for adding efficiency into processes of all so... » read more

Leveraging Data In Chipmaking


John Kibarian, president and CEO of PDF Solutions, sat down with Semiconductor Engineering to talk about the impact of data analytics on everything from yield and reliability to the inner structure of organizations, how the cloud and edge will work together, and where the big threats are in the future. SE: When did you recognize that data would be so critical to hardware design and manufact... » read more

Simplifying Silicon Bring-Up And Debug On ATE equipment With ATE-Connect


The silicon bring-up process is ripe for improvement. Tessent SiliconInsight with ATE-Connect technology eliminates communication barriers between proprietary tester-specific software and DFT platforms, which accelerates debug of IJTAG devices, speeds product ramps, and reduces time-to-market for products in 5G wireless communications, autonomous driving, and artificial intelligence. Read mo... » read more

October ’19 Startup Funding: Mega Harvest


Seventeen startups took in mega-rounds of $100 million or more during October, with a cumulative total of just over $3.2 billion. Cybersecurity startups continued to be popular with private investors during the month of October, with 15 financing rounds. Twenty automotive and mobility technology firms picked up new investments. Analytics firms, artificial intelligence/machine learning techno... » read more

How 5G Affects Test


David Hall, head of semiconductor marketing at National Instruments, talks with Semiconductor Engineering about architectural changes to infrastructure due to the rollout of 5G and how the move from macrocells to small cells is changing test requirements.         Subscribe to Semiconductor Engineering's YouTube Channel here » read more

Modeling AI Inference Performance


The metric in AI Inference that matters to customers is either throughput/$ for their model and/or throughput/watts for their model. One might assume throughput will correlate with TOPS, but you’d be wrong. Examine the table below: The Nvidia Tesla T4 gets 7.4 inferences/TOP, Xavier AGX 15 and InferX 1 34.5. And InferX X1 does it with 1/10th to 1/20th of the DRAM bandwidth of the ... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

Simultaneous Localization And Mapping


Amol Borkar, senior product manager at Cadence, explains how to track the movement of an object in a scene and how to match features from one image to the next using SLAM. The technology is used in everything from mobile phones to automotive and drones. » read more

Service Revenue Growing With Chip Complexity


Rising complexity, new markets, and a shortage of in-house expertise are beginning to rekindle demand for services for the first time in nearly a decade. The semiconductor industry has been racing to design chips for a variety of new and existing applications, but they are facing challenges on a number of fronts: Leading-edge chips require new architectures due to a sharp reduction in s... » read more

Which Verification Engine When


Frank Schirrmeister, group director for product marketing at Cadence, talks about which tools get used throughout the design flow, from architecture to simulation, formal verification, emulation, prototyping all the way to production, how the cloud has impacted the direction of the flow, and how machine learning will impact verification. » read more

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