Samsung Galaxy S22 Ultra vs. iPhone 13 Pro Max: Which flagship wins?
Our Samsung Galaxy S22 Ultra vs iPhone 13 face-off compares the design, performance, cameras, battery life and more to crown a winner.
Source: tomsguide.com
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Sensors | Free Full-Text | Quantization and Deployment of Deep Neural Networks on Microcontrollers
Embedding Artificial Intelligence onto low-power devices is a challenging task that has been partly overcome with recent advances in machine learning and hardware design. Presently, deep neural networks can be deployed on embedded targets to perform different tasks such as speech recognition, object detection or Human Activity Recognition. However, there is still room for optimization of deep neural networks onto embedded devices. These optimizations mainly address power consumption, memory and real-time constraints, but also an easier deployment at the edge. Moreover, there is still a need fo...
Source: mdpi.com
Lattice looks to simplify deployment of AI/ML models on Edge devices
Lattice Semiconductor has announced a number of enhancements to its sensAI solution stack for accelerating AI/ML application development on low power Lattice FPGAs.
Source: newelectronics.co.uk
Lattice sensAI Solution Stack Simplifies Deployment of AI/ML Models on Smart Edge Devices
HILLSBORO, OR – May 26, 2021 – Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced enhancements to its award-winning Lattice sensAI™ solution stack for accelerating AI/ML application development on low power Lattice FPGAs. Enhancements include support for the Lattice Propel™ design environment for embedded processor-based development and the TensorFlow Lite deep-learning framework for on-device inferencing. The new version includes the Lattice sensAI Studio…
Source: eejournal.com
Andes unveils new upgraded AndeSight IDE v5.0
Andes unveils new upgraded AndeSight IDE v5.0 Andes Technology has unveiled a new upgrade of AndeSight IDE v5.0, which looks to accelerate RISC-V AI and IoT developments by strengthening several key features. Designed to address AI and IoT applications and the products serving these markets by offering a combination of high efficiency and low power consumption as well as reducing time-to-market, AndeSight IDE v5.0 rolls out a number of new functions delivering improved runtime performance and development efficiency. The RISC-V DSP/SIMD extension (RVP), vector extension...
Source: newelectronics.co.uk