Week in Review: IoT, Security, Auto


Internet of Things Combining artificial intelligence with unmanned aerial vehicles could provide a quicker and safer alternative to inspecting roadways for cracks, potholes, and other damage, according to a paper posted on arvix.org. “[M]anual visual inspection [is] not only tedious, time-consuming, and costly, but also dangerous for the personnel. Furthermore, the detection results are alwa... » read more

Week In Review: Design, Low Power


Intel acquired vision and video FPGA IP company Omnitek. Founded in 1998, the Basingstoke, England-based company has produced FPGA IP cores for video processing including conversion and enhancement, creating arbitrary image warps on a real time video stream, connectivity, and deep learning and AI inferencing. Terms of the deal were not disclosed. Qualcomm and Apple have dropped all litigatio... » read more

The Role Of EDA In AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Blog Review: April 17


In a video, Mentor's Colin Walls digs into power management in embedded software with a particular look at the Power Pyramid model. Synopsys' Taylor Armerding checks out the state of application security at this year's RSA and finds that while organizations are paying attention to security through training and dedicated teams, roadblocks still remain. Cadence's Paul McLellan considers how... » read more

Week in Review: IoT, Security, Auto


Internet of Things Smart-building technology is a factor in marketing new facilities to prospective tenants. The new Cambridge Crossing development in Cambridge, Mass., aspires to attract tech-oriented tenants much like nearby Kendall Square, this analysis notes. Philips has agreed to lease seven floors in Cambridge Crossing’s first office building, making that location its North American he... » read more

Exascale Emulation Debug Challenges


For years, semiconductor industry surveys have shown that functional verification is the dominant phase in chip development and that debug is the most time-consuming task for verification. The problem is getting worse in today’s era of exascale debug, in which software applications drive tests of more than a billion cycles run in emulation on designs of more than a billion gates. System-on-ch... » read more

Low Power Meets Variability At 7/5nm


Power-related issues are beginning to clash with process variation at 7/5nm, making timing closure more difficult and resulting in re-spins caused by unexpected errors and poor functional yield. Variability is becoming particularly troublesome at advanced nodes, and there are multiple causes of that variability. One of the key ones is the manufacturing process, which can be affected by every... » read more

Accelerating Physical Verification Productivity for Advanced Node Designs with IC Validator


Applications such as deep-learning, autonomous driving vehicles, and mobility on 5G networks fuel the need for continuous advancements in IC integration. Growing design complexity, pressure on design cycle time, process advancements and increasing verification requirements are driving the need for faster, more efficient physical verification flows. The current state-of-the-art FinFET processes ... » read more

From AI Algorithm To Implementation


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Blog Review: April 10


Arm's Paul Whatmough discusses the growing use of real-time computer vision on mobile devices and proposes transfer learning as a way to enable neural network workloads on resource-constrained hardware. Cadence's Anton Klotz highlights a collaboration with Imec and TU Eindhoven on cell-aware test that reduces defect simulation time by filtering out defects with equivalent fault effects. M... » read more

← Older posts