This blog post was originally published at Cadence’s website. It is reprinted here with the permission of Cadence. The Goal: Long Shelf Life Chips being designed today for the automotive, mobile handset, AI-IoT (artificial intelligence – Internet of things), and other AI applications will be fabricated in a year or two, designed into end products …
Why a DSP is Indispensable in the New World of AI Read More +
AI enhancements and Tensilica Xtensa LX8 platform capabilities deliver significant performance improvements with industry-best energy efficiency 24 Oct 2023 — SAN JOSE, Calif.— Cadence Design Systems, Inc.(Nasdaq: CDNS) today expanded its industry-leading Tensilica® HiFi and Vision DSP families with the introduction of four new DSPs based on the recently announced Tensilica Xtensa® LX8 processor platform. …
Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Borkar demonstrates two applications running on customers’ SoCs, showcasing Cadence’s pervasiveness in AI. The first demonstration is of …
Cadence Demonstrations of Generative AI and People Tracking at the Edge Read More +
Highlights: Neo NPUs efficiently offload from any host processor and scale from 8 GOPS to 80 TOPS in a single core, extending to hundreds of TOPS for multicore AI IP delivers industry-leading AI performance and energy efficiency for optimal PPA and cost points Targets a broad range of on-device and edge applications, including intelligent sensors, …
Suhas Mitra, Director Product Management and Marketing at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Mitra demonstrates Cadence’s Tensilica AI accelerator portfolio, specifically showcasing the company’s Tensilica NNA (Neural Network Accelerator) 110 IP. These IPs can significantly improve the performance of edge and …
Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Borkar demonstrates an automotive in-vehicle infotainment system, implemented on a customer’s platform and featuring the Tensilica Vision DSP. Infotainment is an important …
Cadence Demonstration of In-vehicle Infotainment Read More +
David Bell, Product Marketing Director for Tensilica AI IP products at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bell demonstrates the vision and AI capabilities of Tensilica DSPs for industrial products, in the process also answering the question of whether a tomato is …
Amol Borkar, Product Marketing Director at Cadence, presents the “Tensilica Processor Cores Enable Sensor Fusion for Robust Perception” tutorial at the May 2023 Embedded Vision Summit. Until recently, the majority of sensor-based AI processing used vision and speech inputs. Recently, we have begun to see radar, LiDAR, event-based image sensors… “Tensilica Processor Cores Enable Sensor …
New ecosystem members Kudan and Visionary.ai enable fast deployment of high-performance, energy-efficient SLAM and AI ISP-based solutions April 11, 2023–SAN JOSE, Calif.–(BUSINESS WIRE)–Cadence Design Systems, Inc. (Nasdaq: CDNS) today announced that it has welcomed Kudan and Visionary.ai to the Tensilica software partner ecosystem, bringing industry-leading simultaneous localization and mapping (SLAM) and AI image signal processor …
Suhas Mitra, Director of Product Management and Marketing at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Mitra demonstrates the Cadence Tensilica AI accelerator portfolio. Mitra demonstrates how the Tensilica Neural Network Accelerator (NNA) 110 IP can significantly improve the performance of edge …
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