Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are fast-changing and complex fields. Until relatively recently, there were no performance benchmarks for AI, ML, or DL systems. That is changing. Today, several industry organizations have developed AI, and ML benchmarks, with more complex benchmarks for DL coming soon. Those efforts stretch from the […]
Machine learning
Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing
Artificial intelligence (AI) is the field in computer science where machines attempt to mimic human reasoning to recognize and analyze situations and make decisions. AI has been under development for decades, but only recently has computing power and memory become high enough in performance and low enough in cost to make AI a practical tool […]
New CPU cards speed real-time ray tracing, AI training
GPGPU and edge AI solution provider Aetina Corp. announces the newest Quadro Turing architecture MXM GPU module. Quadro RTX provides real-time ray tracing and AI training acceleration, sending the most professional GPU to achieve the highest quality and reliability standards. Quadro, NVIDIA graphics cards intended for workstations, running professional computer-aided design (CAD), computer-generated imagery (CGI), […]
Software speeds creation of machine learning apps in IoT, low-power edge devices
Eta Compute Inc. announced its TENSAI Flow software. The software suite complements its existing development resources and enables seamless design from concept to firmware, speeding the creation of machine learning applications in IoT and low power edge devices. Eta Compute’s TENSAI Flow software de-risks development by quickly confirming feasibility and proof of concept. TENSAI Flow […]
OEM guide to ADAS development
As automotive electronics becomes more complex, the quest is on for economical ways to cover the widest possible range of requirements. Eric Pinton | Renesas Electronics In recent years, few topics have stoked the automotive industry’s collective enthusiasm like autonomous vehicles. Pushed by widely publicized breakthroughs in connected vehicle development, deep learning software, and data-driven […]
Open standards for driverless cars
Why unsafe autonomous vehicle systems are passing undetected during development. By Dr. Luca Castignani, MSC Software In February, McAfee exposed the alarming gap between the road test and real-world performance of autonomous vehicle sensors. In a demonstration, McAfee was able to fool a Tesla car into accelerating to 85 mph in a 35 mph zone […]
MCU-based Implementation of neural network compiler supports machine learning at the edge
NXP Semiconductors N.V. released its eIQ Machine Learning (ML) software support for Glow neural network (NN) compiler, delivering the industry’s first NN compiler implementation for higher performance with low memory footprint on NXP’s i.MX RT crossover MCUs. As developed by Facebook, Glow can integrate target-specific optimizations, and NXP leveraged this ability using NN operator libraries […]
Ultra-low power AI sensor board speeds machine learning tasks
Eta Compute Inc. announced the debut of the world’s first integrated, ultra low power AI Sensor Board, the ECM3532 AI Sensor Board. Designed specifically for machine learning at the edge, the board reduces the initial phase of smart sensor development using its TENSAI SoC, including feasibility, proof of concept, and board design, from several months […]
Hyperparameter optimization framework for machine learning is open sourced
Preferred Networks, Inc. has released Optuna v1.0, the first major version of the open-source hyperparameter optimization framework for machine learning. Projects using the existing beta version can be updated to Optuna v1.0 with minimal changes to the code. In machine learning and deep learning, it is critical that complex hyperparameters (*1), which control the behavior […]
New processors provide neural processing for human-like cognition at the edge
The i.MX 8M Plus applications processors in the EdgeVerse portfolio integrate a Neural Processing Unit (NPU) that unleashes the benefits of edge-based Machine Learning (ML) and Artificial Intelligence (AI) in IoT and industrial devices. The i.MX 8M Plus features an NPU capable of delivering 2.3 TOPS, a powerful quad-core Arm Cortex-A53 processor running up to […]