Fox on Games takes an insider look at all the new features of the soon-to-be-released Switch 2. New York City – In a bustling event on 5th Avenue that drew over 100 journalists, content creators, and industry insiders, Nintendo made waves by unveiling the much-anticipated Switch 2. The console is set to redefine gaming experiences worldwide, and Fox was there to capture the excitement. The Switch 2 is priced at 450 for the console alone, with an option to purchase a bundled package at 500, which includes the new racer "pack-in" game, Mario Kart World. Nintendo has listened to feedback from the initial Switch release and introduced significant upgrades to the Switch 2's hardware. The Joy-Con controllers now connect via magnets, eliminating the traditional track system. Enhanced with a gyroscope and a new mouse mechanic, players can simulate movement with precision, akin to rolling a ball across the floor.

Machine Learning Drift is a common phenomenon that occurs once the machine learning algorithm is deployed to production. It can adversely affect the overall performance of your machine learning model if not monitored closely and mitigated at the right time. This article will provide an overview of machine learning drift and various types of drift, as well as cover some practical techniques to eliminate drift. Machine learning and AI models are built on the assumption that historical data projects an accurate representation of the future. But in a fast-changing world, this is rarely the case.

Oded Green is a Senior Graph Software Engineer at NVIDIA. The NVIDIA DGX-1 supercomputer is a GPU-based platform designed to facilitate faster and more efficient big data sequencing, machine learning, and deep learning processes. There aren't many computers or servers significant enough to be recognizable by model name. But, a DGX-1 is well-known throughout the computing community, particularly by the artificial intelligence and machine learning crowd," said School of Computational Science and Engineering (CSE) Research Technologist Will Powell. The DGX-1 is powered by 8 NVIDIA TESLA V100 GPUs, has over 40,000 CUDA Cores, 5,000 Tensor cores, and 1,000 TFLOPS built specially for deep learning.