In this episode, we talked with Dave Fick, co-founder and CEO of Mythic. Mythic has developed analog computing technology to deliver high-performance AI processors that are ten times more power-efficient and cost-effective than digital solutions.
In this talk, we discussed why analog computing is uniquely well-suited for machine learning on the edge, due to low energy consumption, low latency, and high capability. We also talk about several industrial applications that are using analog computing today.
Key Questions:
● What is analog computing?
● What is the difference in form and cost structure for analog and digital solutions?
● How does analog computing deal with 'messy data'?
EP 204
EP 203 - Scaling AI: Revolutionizing Manufacturing Operations
EP 202 - Navigating IoT Solutions: A Dive into Digi's Evolution and Future
EP 201 - Tap, Pay, and Play: The NFC Forum's Guide to Contactless Technology
EP 200 - How Can Generative AI Revolutionize IoT Applications?
EP 199 - Bring Real-Time Tracking Costs Down, and Scalability Up
EP 198 - Rethink Database Design for the AI Era
EP 197 - Rework Kills Your Margins - Eliminate it with Cumulus
EP 196 - Realize Visibility and Resilience in Commodity Supply Chain Management
EP 195 - Affordably Manage the Deluge of Unstructured Data
EP 194 - Convert WiFi Signals into a Sensor Network
EP 193 - Managing the Transition from Selling Units to Selling SaaS
EP 192 - Making 3D Printing Scalable with Physics Modeling
EP 191 - Creating and Retaining a High-performing Software Team
EP 190 - Transitioning from CAPEX to OPEX-based Offerings with IoT
EP 189 - Empowering IoT's Edge and Its Game-Changing Innovations
EP 188 - Decentralizing the Commercial Energy Landscape
EP 187 - Building the industrial metaverse, step by step
EP 186 - How does IoT enable workflow streamlining in cold chains?
Create your
podcast in
minutes
It is Free
Pharmacy Podcast Network
Børsen Morgenbriefing
Sarah Westall - Business Game Changers
Wall Street Breakfast
Money Talks from The Economist