Learning how to learn: Toddlers vs. neural networks
Gunn Salelanonda, CEVA
embedded.com (September 27, 2016)
It's undeniable that machine learning has made enormous progress over the past few years: from amazing artificial intelligence accomplishments like defeating a top ranking player at the ancient and complex game of Go, to simple everyday uses like auto-tagging personal photo collections. At the core of the most advanced algorithms used to achieve these feats are artificial neural networks, which are technology's way of mimicking the human brain. But just how smart are these neural networks? Since my not-quite-two-year-old son started paying attention to the world beyond his mom and started learning, I have been at awe by the way his brain learns by making associations; by comparison, I wonder how much further machine learning has to go.
To read the full article, click here
Related Semiconductor IP
- Tensilica ConnX 110/120
- Tensilica ConnX B10/B20
- AI Accelerator Specifically for CNN
- Convolutional Neural Network (CNN) Compact Accelerator
- ColdFire V2 Core with single Fast Ethernet and AMBA peripherals connected in a subsytem
Related White Papers
- Wind Turbine Fault Detection Using Machine Learning And Neural Networks
- Machines can see, hear and analyze thanks to embedded neural networks
- Artificial Intelligence (AI) utilizing deep learning techniques to enhance ADAS
- AICP: AURA Intelligent Co-processor for Binary Neural Networks
Latest White Papers
- TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
- How a Standardized Approach Can Accelerate Development of Safety and Security in Automotive Imaging Systems
- SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
- Enabling Chiplet Design Through Automation and Integration Solutions
- Shift-Left Verification: Why Early Reliability Checks Matter