Sensor Fusion Everywhere


How do you distinguish between background noise and the sound of an intruder breaking glass? David Jones, head of marketing and business development for intuitive sensing solutions at Infineon, looks at what types of sensors are being developed, what happens when different sensors are combined, what those sensors are being used for today, and what they will be used for in the future. » read more

Safe And Robust Machine Learning


Deploying machine learning in the real world is a lot different than developing and testing it in a lab. Quenton Hall, AI systems architect at Xilinx, examines security implications on both the inferencing and training side, the potential for disruptions to accuracy, and how accessible these models and algorithms will be when they are used at the edge and in the cloud. This involves everything ... » read more

Design For Test Data


As design pushes deeper into data-driven architectures, so does test. Geir Eide, director for product management of DFT and Tessent Silicon Lifecycle Solutions at Siemens Digital Industries Software, talks with Semiconductor Engineering about a subtle but significant shift for designing testability into chips so that test data can be used at multiple stages during a device’s lifetime. » read more

Dynamically Reconfiguring Logic


Dynamic reconfiguration of semiconductor logic has been possible for years, but it never caught on commercially. Cheng Wang, co-founder and senior vice president of software and engineering at Flex Logix, explains why this capability has been so difficult to utilize, what’s changed, how a soft logic layer can be used to control when to read, compute, steer, and write data back to memory, and ... » read more

Problems In The Power Grid


The gap is widening between power availability and peak demand. Ritesh Tyagi, head of innovation and growth strategy at Infineon Technologies, talks about what needs to be done to fix the power grid, particularly as more cars are electrified and more electronic devices are mobile. While there currently is a surplus in power being generated on a macro level in the United States, for example, it�... » read more

Improving Power & Performance Beyond Scaling


Steven Woo, Rambus fellow and distinguished inventor, discusses architectural changes inside of servers and data centers to allow pooling of resources such as memory. That has a big impact on power efficiency and overall performance, but it also allows data centers to customize their architectures and prioritized resources with much more granularity than they can do today. » read more

Changes In Sensors And DSPs


Pulin Desai, group director for product marketing, management and business development at Cadence, talks about why processing is moving closer to the end point, how to save energy through reduced area and sensor fusion, and the impact of specialization, 3D capture and always-on circuits. » read more

EDA In The Cloud


Hagai Arbel, CEO of Vtool, talks with Semiconductor Engineering about the benefits of moving EDA tools to the cloud, why it has been slow to take off, and what will drive this trend in the future. » read more

Making Lidar More Useful


Lidar, one of a trio of “vision” technologies slated for cars of the future, is improving both in terms of form and function. Willard Tu, director of automotive at Xilinx, talks with Semiconductor Engineering about different approaches and tradeoffs between cost, compute intensity and resolution, various range and field of view options, and why convolutional neural networks are so important... » read more

Configuring AI Chips


Change is almost constant in AI systems. Vinay Mehta, technical product marketing manager at Flex Logix, talks about the need for flexible architectures to deal with continual modifications in algorithms, more complex convolutions, and unforeseen system interactions, as well as the ability to apply all of this over longer chip lifetimes. Related Dynamically Reconfiguring Logic A differ... » read more

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