In this week’s Fish Fry podcast, we investigate the analog data conundrum with Tom Doyle and Marcie Weinstein from Aspinity. We take a closer look at the power and data challenges of processing at the edge, what Aspinity’s new analog machine learning IC is all about, and the details of their new evaluation kits that utilize their analogML core. Also this week, I dig into the details of a new organic, metal free, non-toxic battery developed by Texas A&M University. (Spoiler Alert: It can be recycled by breaking it down in acid!)
Crafting the Next Generation of AI - Deci is Looking to Change How We Build Artificial Intelligence
Fish Fry Special Edition: Makers Today! Max Maxfield
Building a Bridge Between Technology and Diplomacy: The Purdue Research Foundation Launches the Center for Tech Diplomacy at Purdue
Papa’s Got a Brand New Node: Intel Makes Waves in Process and Packaging
Automatic For The People: CacheQ’s New Compiler for Multithreaded Executables
Machine Learning and The New Age of Intelligent Chip Design
The Hidden Security Risks of Automotive Electronic Systems
Fish Fry Special Edition: Makers Today! Lorraine Underwood
Better than a Human Driver: Trusted Electronics and Functional Safety
Machine Vision Meets Hackathon: ADLINK’s 20/20 Hack Solves Real World Problems
Quantum Practicality and You: How Intel is Solving the Quantum Computing Interconnect Bottleneck
How LoRa Can Help Us Build a Smarter and Safer Planet
Fish Fry Special Edition: Makers Today! Karen Corbeill
Let's Get Speedy! Digital Signal Processing for Always-On Systems, Sensor Fusion and Computer Vision
The Digital Thread: The Advancement of Digital Backbones and the World’s First Digital Fiber Fabric
Connecting the Disconnected: Avoiding Design Pitfalls with Altium’s Nexar Network
Computations in Memory: Imec’s Analog Inference Accelerator Brings Extreme Energy Efficiency to Neural Network Acceleration
The Problem is Exponential: The Value of Pre-silicon verification and Pre-silicon Hardware Debug
Work Smarter Not Harder: Optimized Software Pipelines and A New Brain-Like Device Learns by Association
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