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Can Machine Learning Models Run Directly on Sensors? Exploring the Future of In-Sensor AI
The concept of AI at the edge is no longer new — but what if we take it one step further? Imagine the potential of running machine learning models directly on sensors. This revolutionary approach is known as In-Sensor AI, and it has the power to reshape industries from IoT to edge computing.
In the latest episode of The IoT Show, Olivier Bloch, Blair Newman, and Danil Zherebtsov take a deep dive into this cutting-edge technology. The discussion explores how Neuton.AI has pioneered the development of In-Sensor AI, opening the door to more efficient, scalable, and cost-effective AI solutions.
Key topics covered include:
- The impact of In-Sensor AI on various industries and applications.
- The transformative potential of embedding ML capabilities directly within sensors.
- Neuton's journey in developing this groundbreaking technology.
- Practical advice on implementing In-Sensor AI to make this advanced capability accessible to a wide range of users.
Curious about how this technology works and how it can be applied to real-world use cases? Watch the full episode to learn how In-Sensor AI is transforming the future of AI and IoT.