In this week’s Fish Fry, we’re diving deep into the world of neural networks. Pulin Desai (Cadence Design Systems) joins us to discuss the future of implementation of neural networks in embedded systems and how the constantly evolving market of neural networking is driving the need for specialized DSP technology. Also this week, we take a closer look at a colorful new experiment by research scientist Janelle Shane that brought together AI, 7,700 Sherwin-Williams paint colors (along with their RGB values) and one interesting list of neural network-created colors.
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Links for June 2, 2017
Cadence Unveils Industry’s First Neural Network DSP IP for Automotive, Surveillance, Drone and Mobile Markets
More information about Cadence® Tensilica® C5 Vision DSP IP
New paint colors invented by neural network (Janelle Shane)
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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