electronicsforu5d
Tiny Machine Learning For Printed Electronics
A new approach optimizes tiny machine learning for ultra-low-power, flexible printed electronics, enabling efficient neural ...
Semiconductor Engineering4d
NPU Acceleration For Multimodal LLMs
The LLM component of multimodal models has the same general transformer architecture. The connector in LLaVA is a ...
Exclusive | ‘Camera Control is akin to building a ship in a miniature bottle’
Apple executives Richard Dinh, Johnnie Manzari and Piyush Pratik, detail the vision for Camera Control physical interaction ...
What a new threat report says about Mac malware in 2024
Apple's macOS has been under siege in 2024 as malware-as-a-service platforms and AI-driven threats make the year a turning ...
eLife28d
Brain state and cortical layer-specific mechanisms underlying perception at threshold
These findings are likely to be of interest to those who seek a deeper understanding of circuit mechanisms that underlie perception ... (A) Pairwise phase consistency (PPC) of single and multi-units ...
IEEE7d
Scale Propagation Network for Generalizable Depth Completion
More specifically, we rescale the input using learned features of a single-layer perceptron from the normalized input, rather than directly normalizing the input as conventional normalization layers.
Frontiers24d
Embodied intelligence for drumming; a reinforcement learning approach to drumming robots
The critic network uses a two-layer input channel for the state with 20 neurons for each layer and a one-layer input channel with 20 neurons for the action. The internal model uses the same ...