In this week’s Fish Fry podcast, Prakash Madhvapathy (Cadence Design Systems) and I investigate recent trends in audio digital signal processing. We also discuss how Cadence’s HiFi 1s and HiFi 5s DSPs are simplifying ease of programming, accelerating machine learning applications and opening up new avenues of innovation for audio digital signal processing enhanced applications.
The World According to Analog: Why Our Digital Futures Depend on Analog
Work Smarter Not Harder: Optimized Software Pipelines and A New Brain-Like Device Learns by Association
Addressing the Gotchas: LCR Embedded Systems and the Case for Intelligent Modularity
Research meets Realization: InnovationLab Brings Organic Printed Electronics into the Mainstream
Machine Learning Megaphone: Advancements in Voice Technology
The Future is Already Here: How Single Pair Ethernet is Creating More Transparent Communication
Looking Beyond to Today: Finding New Material Solutions with Intermolecular
A PUF by Any Other Name Just Isn’t the Same: Intrinsic-ID and the Rise of Hardware-Based Security
The Future Will Be Open Source: How QuickLogic Is Changing the FPGA Landscape
The Next Great Leap Forward: How Paragraf is Bringing Graphene into Electronic Design Primetime
For the Love of Coffee and Design Verification
Learning to Let It Go: Obsolescence Management and an OEM Tale of Woe
For the Love of Design: Kickstarter and Sydney Ahn Mai’s Passion for Purposeful Interactions
To The Skies And Beyond: Securing the Mission Critical Edge and A New Rocket Thruster to Mars
The Business Of Making Sensors Smarter: PICMG, MicroSAM, and Bringing Plug and Play into IIoT
A Mesh By Any Other Name Just Isn’t the Same: Breaking Rules and Making the Impossible Possible with Ansys HFSS Mesh Fusion
Full Stack Future Proofing: How LEVL is Changing the Device Identity Game
Brain-a-Palooza! Advancements in Brain-Hand Communication and Your Brain on Code
The Next Big Thing! Ferroelectric Nonvolatile Memory and Tiny Aquatic Robots Inspired by Sea Creatures
It’s All About Confidence: System on Chip Verification and Building Trust into Neural Networks
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