Topic: machine learning
How AI and machine learning moved forward in 2020
AI and machine learning saw several steps forward in 2020, from the first beta of GPT-3, stricter regulation of AI technologies and conversations around algorithmic bias, and strides in AI-assisted development and testing. GPT-3 is a neutral-network-developed language model created by OpenAI. It entered its first private beta in June this year, and OpenAI reported … continue reading
Intel releases new machine programming tool to detect bugs in code
Intel’s newly released ControlFlag is a machine learning programming system that autonomously detects errors in code. A recent study estimated that of the $1.25 trillion the IT industry spends on software development every year, 50% is spent debugging code. Intel hopes the new solution will significantly reduce the amount of time and money required to … continue reading
Exadel announced the release of CompreFace, an open-source facial recognition application
Exadel, a global provider of digital software engineering solutions and services, announced the release of CompreFace, an open-source facial recognition application. CompreFace can be integrated as a standalone service or deployed via the cloud. It’s convenient API offers state-of-the-art facial recognition. To get started with Compreface, visit: (https://github.com/exadel-inc/CompreFace#overview) “Facial recognition technology is being rapidly adopted across … continue reading
Machine learning – Getting to deployment
The benefits of machine learning (ML) are becoming increasingly clear in virtually all fields of research and business. There is an increasing array of tools that are becoming available to help people move in the right direction – though hang-ups can, and do exist, this guide strives to allow practitioners to find their footing on … continue reading
Microsoft open sources TensorFlow-DirectML
Microsoft has announced it is open sourcing its extension of TensorFlow for Windows. The source code for TensorFlow-DirectML is now available on GitHub. “TensorFlow-DirectML broadens the reach of TensorFlow beyond its traditional Graphics Processing Unit (GPU) support, by enabling high-performance training and inferencing of machine learning models on any Windows devices with a DirectX 12-capable … continue reading
Google announces new services to simplify MLOps
Google has announced a new set of services aimed at simplifying Machine Learning Operations (MLOps) for data scientists and machine learning (ML) engineers. According to Google, companies are using machine learning to solve challenging problems, but machine learning systems can create unwanted technical debt if it is not managed well. Google noted that machine learning … continue reading
AWS CodeGuru makes intelligent recommendations about code quality
AWS has released a new developer tool powered by machine learning. CodeGuru provides intelligent recommendations for improving code quality and lowering operational costs. “Our customers develop and run a lot of applications that include millions and millions of lines of code. Ensuring the quality and efficiency of that code is incredibly important, as bugs and … continue reading
SD Times Open-Source Project of the Week: MLflow
MLflow, the open-source machine learning platform created by Databricks, has joined the Linux Foundation. The version update MLflow 1.9.1 was also released this week with bug fixes and improvements. The project has seen more than two million downloads per month and is growing fourfold every year. The project was first introduced at Spark + AI … continue reading
Android development team releases new ML Kit SDK
The Android development team is adding new features to its ML Kit, which is currently being used in over 25,000 iOS and Android apps. ML Kit is the company’s solution for integrating machine learning into mobile applications. It was launched in 2018 at its I/O conference. The team is introducing a new SDK that doesn’t … continue reading
SD Times Open-Source Project of the Week: Code Defect AI
Altran announced this week a new machine learning open-source tool for finding bugs. Code Defect AI is designed to help developers find bugs earlier and minimizes the cost and time required to fix them. By applying machine learning (ML) to historical data, the tool identifies areas of the code that are potentially buggy and then … continue reading
Amazon releases Kendra to make sense of unstructured enterprise data
Amazon has announced its enterprise search service Kendra is now available. Kendra is powered by machine learning, and designed to help enterprises index, search, and gain insight across their data silos. The company explained the solution is built to provide high-quality results to natural language queries instead of a random list of links in response … continue reading
SD Times news digest: Swift adds more linux distributions, Databricks University Alliance, and MemSQL announces $50 million funding
Swift added a new set of Linux distributions officially supported by the Swift project. Swift.org now offers downloadable toolchain and Docker images for Ubuntu 20.04, CentOS 8, and Amazon Linux 2. Swift CI has moved to use Docker to build and qualify the new Linux distributions. A Dockerfile has been created for each one of … continue reading
