Topic: machine learning
UserTesting announces friction testing capability
UserTesting announced machine learning innovations to the UserTesting Human Insight Platform to help businesses gain the context needed to understand and address user needs. One update is friction detection powered by machine learning to visually identify moments in both individual video sessions, and across multiple videos, where people experience friction behaviors like excessive clicking or … continue reading
Charmed Kubeflow 1.7 adds support for serverless ML workloads
Canonical, the publishers of the Ubuntu operating system, have announced the latest version of Charmed Kubeflow, its open-source MLOps platform. Charmed Kubeflow 1.7 adds the ability to run serverless ML workloads, which increases developer productivity by reducing routine tasks and handling infrastructure for them. Another win for developers is that new dashboards will improve user … continue reading
PyTorch 2.0 introduces accelerated Transformer API to democratize ML
The PyTorch team has officially released PyTorch 2.0, which was first previewed back in December 2022 at the PyTorch Conference. PyTorch is a Linux Foundation machine learning framework that was originally developed by Meta. This release includes a high-performance implementation of the Transformer API. It supports more use cases now, such as models using Cross-Attention, … continue reading
TensorFlow announces its roadmap for the future with focus on speed and scalability
The team behind the machine learning model TensorFlow recently released a blog post laying out the ideas for the future of the project. According to the TensorFlow team, the ultimate goal is to provide users with the best machine learning platform possible as well as transform machine learning from a niche craft into a mature … continue reading
Domino 5.3 available to improve data science access
Domino 5.3 was released to improve how organizations can get the most of data science across any cloud or on-premises infrastructure. The new version introduces a private preview of Domino Nexus hybrid and multi-cloud capabilities and an expanded suite of connectors to simplify and democratize access to critical data sources. On top of that, new … continue reading
OctoML launches new machine learning platform expansion
Today OctoML, provider of a machine learning acceleration platform, released a major platform expansion in order to accelerate the development of AI-powered applications by eliminating bottlenecks in machine learning development. This release is intended to enable app developers and IT operations teams to transform trained machine learning models into agile, portable, production-ready software functions that … continue reading
Data Profiler: Capital One’s open-source machine learning technology for data monitoring
With the move to the cloud, the amount of data that companies are able to manage has grown exponentially. This is why Capital One created Data Profiler, the open-source Python library that utilizes machine learning in order to help users monitor big data and detect information that should be properly protected. Data Profiler brings users … continue reading
SD Times Open-Source Project of the Week: KServe
KServe is a tool for serving machine learning models on Kubernetes. It encapsulates the complexity of tasks like autoscaling, networking, health checking, and server configuration. This allows users to provide their machine learning deployments with features like GPU Autoscaling, Scale to Zero, and Canary Rollouts. Created by IBM and Bloomberg’s Data Science and Compute Infrastructure … continue reading
Amazon releases new natural language query tool
AWS announced the release of Amazon QuickSight Q, a natural language query tool for the Enterprise Edition of QuickSight. It uses Natural Language Understanding (NLU) to discover the intent behind questions and is able to answer questions that refer to all data sources supported by QuickSight, according to AWS. This includes data from all AWS … continue reading
Why machine learning models fail
Machine Learning is quickly becoming an important tool for automation, but failing models and improper background knowledge are creating more issues than they are solving. “I think to build a good machine learning model… if you’re trying to do it repeatedly, you need great talent, you need an outstanding research process, and then finally you … continue reading
SD Times news digest: Android giving extension to comply with new Play Payments Policy, Sentry performance monitoring for iOS and Release Health for Python, Sysdig to acquire Apolicy
Android stated that it would extend the September 30th deadline for adhering to the Google Play Payments policy to March 31st, 2022. Starting on July 22nd, developers can appeal for an extension through the Help Center. Android said it will review each request and get back to requests as soon as possible. Additional details are … continue reading
SD Times news digest: Practical Data Science course, Nintex acquires AssureSign, and Apache weekly roundup
AWS, DeepLearning.AI and Coursera announced the launch of Practical Data Science, three-part series of hands-on courses designed for data professionals to learn the essentials of machine learning. The courses delve into how to use state-of-the art algorithms for natural language processing and natural language understanding using Amazon SageMaker and Hugging Face’s optimization of the BERT … continue reading
