“Just when you thought it was safe to go back in the water...”- Peter Benchley, Jaws
What do 3D printing and great white sharks have in common? This week’s episode of Amelia’s Weekly Shark Fry of course! My guest Rich Stump (FATHOM) and I chat about how FATHOM is working with the Monterey Bay Aquarium Research Institute to create 3D printed video tracking devices for great white sharks in the California coastal region. Rich and I also discuss the details of the Great White Shark Café Challenge and the future of 3D printing in the world of oceanic research."
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Links for August 25, 2017
More information about FATHOM
Shark Tracking and 3D Printed Device (Blog by Silas Alexander - FATHOM)
How to tag a Jellyfish? (Blog by Monterey Bay Aquarium)
New Episode of Chalk Talk: New Defense and Aerospace Products
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
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
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