Silicon Labs & Edge Impulse Partner to Accelerate Machine Learning Applications
Silicon Labs and Edge Impulse announced a collaboration to enable rapid development and deployment of machine learning (ML) on Silicon Labs EFR32...
Machine-Learning Breakthrough That Opens Way to Edge Learning
CEA-Leti scientists have demonstrated a machine-learning technique exploiting what have been previously considered as "non-ideal" traits of resistive-RAM (RRAM) devices, overcoming barriers...
What are The Best Emerging Technologies in 2021?
With 2020 behind us, the world is in need of something to look forward to. As the pandemic brought about school and...
Fujitsu Deep learning model to recognize Behavior Recognition
Fujitsu Leverages Deep Learning to Achieve World's Most Accurate Recognition of Complex Actions & Behaviors Based on Skeleton Data
FPGA Based EdgeAI Gateway with support of AI Frameworks
Through a collaboration with MakarenaLabs srl, a leader in scientific research in multimedia recognition and feature extractions, iWave Systems is excited to...
In-Memory Computing Pathways for Edge-AI & Neural Networks with 3D Architectures & Resistive-RAM
CEA-Leti presented two papers this week at IEDM 2020 that confirm the advantages of combining 3D architectures and resistive-random-access-memories (RRAM) for in-memory...
How AI is impacting sport events?
Artificial Intelligence, or AI as it's more commonly abbreviated, is tipped to take over the world and whilst anything like that might...
BrainChip Ships Evaluation Boards for Akida Neuromorphic System-on-Chip (NSoC)
The Akida NSoC has proven to provide significant power savings & is the complete integration of a neural network design. Akida introduces new...
Mouser Electronics’ New eBook Explores Role of AI in Public Safety
Mouser Electronics released Artificial Intelligence: A Multi-Faceted Approach to Safety, the second eBook from The Intelligent Revolution series. The new eBook relays...
Octonion’s STM32Cube Expansion Package for AI-based Predictive Maintenance on STWIN
The solution enables industrial-equipment vendors to quickly evaluate Octonion's embedded AI models, running on-device learning directly on STM32 MCUs.
