Tag: model training
IBM Collaboration Looks to Bring Massive AI Models to Any Cloud
Training machine learning foundation models with sometimes billions of parameters demands serious computing power. For example, the largest version of GPT-3, the famous large language model behind OpenAI’s DALL-E 2, ha Read more…
Galileo Emerges from Stealth with Collaborative MLOps Platform
There’s a new player in the hot MLOps market: Galileo. Founded by Google and Uber AI alumni, the company emerged from stealth this week with $5.1 million in seed funding. Galileo is an intelligence platform for unst Read more…
Data Fingerprinting: An Innovative Lean AI Approach for Startups
Technology startups have immense pressure to embrace machine learning and AI in order to stay relevant in their business. Machine learning, if implemented well, can have a direct impact on a startup’s ability to grow a Read more…
The Perfect Storm: How the Chip Shortage Will Impact AI Development
This chip shortage has brought to light our dependency on hardware to run high-tech economies and the everyday lives of consumers. Today, chips can be found in everything from gaming consoles like Xbox Series, PlayStatio Read more…
Nvidia Trains GANs With Fewer Images
Nvidia researchers report a new AI model that significantly reduces the amount of data required to train a machine learning framework called generative adversarial networks. In a paper released during this week’s Ne Read more…
AWS Cuts Prices for SageMaker GPU Instances
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 Read more…
AI Startup Uses FPGAs to Speed Training, Inference
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. Deep AI Technologies said Read more…
Google Joins the MLOps Crusade
Machine learning developers face an expanded set of management issues beyond merely getting the code right, including the testing and validation of data used in ML models while handling an additional set of infrastructur Read more…
Synthetic Data Market Gets Real
A growing list of data privacy regulations along with demand for better training data is spawning new AI-based approaches to managing “personally identifiable” information, including “synthetic” data sets that re Read more…
GPU Storage Approach Targets Big Data Bottlenecks
An emerging storage technology aims to leverage faster GPUs by creating a direct path between local and remote storage, thereby overcoming I/O bottlenecks that are slowing the crunching of AI and HPC data sets. Nvidia Read more…
AI-Driven Decision Platforms Live in the Moment
The emerging market for AI-driven digital decision-making is grounded in new applications developed using machine learning models designed to help analysts crunch data that would allow their bosses to make the right deci Read more…
Baidu Aims Edge Platform at AI Developers
Platform vendors are increasingly focusing on computing at the network edge as those devices sweep up more unstructured data. The goal is to move computing resources closer to data sources to reduce latency and bandwidth Read more…
Uber’s Training Tool Shares Ride for Deep Learning
A Linux Foundation project focused on AI development is expanding with the addition of a deep learning training tool based on an Uber-sponsored project. Launch by the ride-sharing specialist, the Horovod project is a Read more…
Microsoft Extends ML Framework
The latest release of Microsoft’s machine learning framework incorporates a new API intended to help .NET developers train models for improved predictions in uses cases like image classification and speech translation. Read more…
Embedded FPGA Core Aimed at Deep Learning
Different implementations of FPGA designs continue to make inroads in the development of AI applications such as neural network processing. The latest is an embedded FPGA core unveiled this week by chip designer Flex Log Read more…
Intel Adds Memory to Deep Learning for Drug Discovery
A drug discovery technique called “high content” screening analyzes data in microscopic images used to determine the effects of genetic and chemical treatments on cell cultures. However, the processing-intensive anal Read more…
Google Unleashes TPUs on Cloud ML Engine
As the amount of machine learning training data soars, so too does demand for new tools that will accelerate the process. With that in mind, Google Cloud announced the beta release of a new feature that allows users to s Read more…
Inference Emerges As Next AI Challenge
As developers flock to artificial intelligence frameworks in response to the explosion of intelligence machines, training deep learning models has emerged as a priority along with synching them to a growing list of neura Read more…
‘Cloud TPU’ Bolsters Google’s ‘AI-First’ Strategy
Google fleshed out its artificial intelligence efforts during its annual developers conference this week with the roll out of an initiative called Google.ai that serves as a clearinghouse for machine learning research, t Read more…
LinkedIn Adds to Growing List of ML Tools
LinkedIn is releasing to the open source community its machine-learning tool used to train the ranking algorithm for its newsfeed, advertising and customer recommendations. The world's largest professional network (NY Read more…
