
Tag: deep learning
Two commonly cited use cases for advanced analytics across financial services entail risk management and fraud detection; specifically, the use of advanced analytics to detect and reduce incidents of false positives. Read more…
You may know Amazon Web Services as a leading provider of public cloud services. But it’s also investing substantial sums into designing its own line of custom chips that can save customers a lot of money compared to Intel X86 and Nvidia GPU processors, for general purpose, as well as analytical and AI workloads
According to Raj Pai, vice president of AWS EC2 product management, tells Datanami that AWS customers will see a 40% price-performance increase when they adopt the sixth-generation EC2 instance, which is powered by a custom-designed Graviton2 processor that’s equipped with 64-bit Arm Neoverse cores. Read more…
As AI and deep learning uses skyrocket, organizations are finding they are running these systems on similar resource as they do with high-performance computing (HPC) systems – and wondering if this is the path to peak efficiency. Read more…
It is important to understand the difference between accuracy and precision in the context of Neural Networks. It’s a tricky concept because, at face value, the words are very similar. Read more…
Kubernetes, the evolving cluster orchestrator, has gone on a diet, stepping off the scales as a lightweight, resilient clustering tool that switches to autopilot once three or more nodes are clustered. Read more…
Amazon Web Services is cutting prices on its SageMaker managed
service for machine learning and deep learning as it attracts more financial services, healthcare and retail customers building and training ML models in production. Read more…
The latest AI startup emerging from stealth mode claims to be the first to integrate model training and inference for deep learning at the network edge, replacing GPUs with FPGA accelerators. Read more…
When it comes to big data, LIDAR is right up there with the biggest generators. But outside of a few niche use cases, LIDAR–which uses lasers to build a three-dimensional model of physical objects–has not been widely adopted. Read more…
The application of convolutional neural network technology continues to expand beyond machine vision use cases to the red-hot drug discovery market.
The application of AI to new drug development has moved in fits and starts, including IBM’s (NYSE: Read more…
Syntiant Corp., the “neural decision processor” startup, announced completion of another funding round this week along with the shipment of more than 1 million low-power edge AI chips.
The three-year-old startup based in Irvine, Calif., said Tuesday (Aug. Read more…