InfoQ Homepage Machine Learning Content on InfoQ
-
First Open Source Copyright Lawsuit Challenges GitHub Copilot
A class-action lawsuit has been filed in a US federal court challenging the legality of GitHub Copilot and the related OpenAI Codex. The suit against GitHub, Microsoft, and OpenAI claims violation of open-source licenses and could have a wide impact in the world of artificial intelligence.
-
Applying Machine Learning for Business Outcomes at Travelopia
Travelopia changed its focus from a technology approach to business outcomes, and adapted agile and lean for delivering machine learning solutions. This enabled them to deliver machine-learning business models faster and better.
-
Unraveling Techno-Solutionism: How I Fell out of Love with “Ethical” Machine Learning
At the recent QCon San Francisco conference, Katherine Jarmul gave a talk on unravelling techno-solutionism, in which she explored the inherent bias in AI training datasets, the bias that assumes there will be a technical solution to almost any problem and that those technical solutions will be beneficial for mankind. She posed questions for technologists to consider when building products.
-
Anaconda Publishes 2022 State of Data Science Report
Anaconda, makers of a Python distribution popular among data scientists, recently published a report on the results of their State of Data Science survey. The report summarizes responses from nearly 3,500 students, academics, and professionals from 133 countries, and covers topics about respondent demographics and jobs as well as trends within the community.
-
Alpa: Automating Model Sharding for Distributed Deep Learning
A new open-source library called Alpa aims to automate distributed training and serving of large deep networks. It proposes a compiler where existing model-parallel strategies are combined and the usage of computing resources is optimized according to the deep network architecture.
-
Google’s Tensorflow Roadmap Includes Better XLA Compilation and Distributed Computing
Google announced the next iteration of TensorFlow development. TensorFlow is the machine learning platform developed by Google and open sourced seven years ago. The development road-map for the next TensorFlow releases is based on four pillars: fast and scalable, applied machine learning, ready to deploy and simplicity.
-
Snap Way to Design Ads Ranking Service Using Deep Learning
Snap engineering has recently published a blog post on how they designed their ads ranking and targeting service using deep learning. Showing ads to the users is the mainstream of social network platform monetization. Snap ad ranking system is designed to target the right user at the right time. Snap is providing an excellent user experience while preserving user privacy and security.
-
How GPT3 Architecture Enhanced AI Capabilities: Lifearchitect.ai Keynote At Devoxx
Dr. Alan D. Thompson, the man behind lifearchitect.ai, sees the current AI trajectory as a shift more profound than the discovery of fire, or the WWW. His Devoxx keynote presents the state of the AI industry, following Google’s Transformer architecture introduction, a true transformer of the industry that gave rise to new AI models, which can conceptualize images, books from scratch and much more.
-
Netflix's Fraud Detection Framework for Streaming Services
Netflix has developed a fraud and abuse detection framework for streaming services, based on artificial intelligence models and data-driven anomaly detections trained on the behavior of the users. Streaming services have, potentially, a lot of onboarded users on multiple devices.
-
Amazon SageMaker Clarify Now Supports Online Explainability for ML Predictions
Amazon is announcing that Amazon SageMaker Clarify now supports online explainability by providing explanations for machine learning model’s individual predictions in near real-time on live endpoints.
-
Fitbit Health Solution and Google Cloud Introduce Device Connect for Fitbit
Fitbit Health Solutions and Google Cloud have recently announced the release of Device Connect for Fitbit, which will provide healthcare and life sciences enterprises with accelerated analytics and insights to help people live healthier lives.
-
Google AI Introduces TensorStore, a High-Performance Open-Source Library for Array Storage
Google has introduced TensorStore, an open-source C++ and Python framework intended to speed up the design for reading and writing large multidimensional arrays.
-
Amazon Announced Promotion Feature in Its Personalize Service
Amazon web services has recently announced a promotion feature in personalize to explicitly recommend specific items based on business rules. Amazon Personalize enables businesses to improve customer engagement and monetization metrics by recommending personalized items to the customers.
-
Amazon Is Adding Visual Conversation Builder for Amazon Lex
Amazon is introducing the Visual Conversation Builder for Amazon Lex, a drag and drop interface to visualize and build conversation flows in a no-code environment. The Visual Conversation Builder greatly simplifies bot design.
-
Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms
Amazon is announcing a new built-in TensorFlow algorithm for image classification in Amazon Sagemaker. The supervised learning algorithm supports transfer learning for many pre-trained models available in TensorFlow Hub.