InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
University Research Teams Open-Source Natural Adversarial Image DataSet for Computer-Vision AI
Research teams from three universities recently released a dataset called ImageNet-A, containing natural adversarial images: real-world images that are misclassified by image-recognition AI. When used as a test-set on several state-of-the-art pre-trained models, the models achieve an accuracy rate of less than 3%.
-
Amazon Releases AWS Lake Formation to General Availability
Recently, Amazon announced the general availability (GA) of AWS Lake Formation, a fully managed service that makes it much easier for customers to build, secure, and manage data lakes.
-
Data Engineering in Badoo: Handling 20 Billion Events Per Day
Badoo is a dating social network that currently handles billions of events per day, explains Vladimir Kazanov, data platform engineering lead. At Skills Matter, he talked through some of the challenges of operating at this scale, and what tooling Badoo uses in order to process and report on this data.
-
Microsoft Open-Sources TensorWatch AI Debugging Tool
Microsoft Research open-sourced TensorWatch, their debugging tool for AI and deep-learning. TensorWatch supports PyTorch as well as TensorFlow eager tensors, and allows developers to interactively debug training jobs in real-time via Jupyter notebooks, or to build their own custom UIs in Python.
-
Baidu Open-Sources ERNIE 2.0, Beats BERT in Natural Language Processing Tasks
In a recent blog post, Baidu, the Chinese search engine and e-commerce giant, announced their latest open-source, natural language understanding framework called ERNIE 2.0. They also shared recent test results including achieving state-of-the art (SOTA) results and outperforming existing frameworks, including Google’s BERT and XLNet in 16 NLP tasks in both Chinese and English.
-
Microsoft Announces ML.NET 1.2
Earlier this month Microsoft announced ML.NET 1.2, along with updates on its Model Builder and CLI. ML.NET is an open-source, cross-platform machine learning (ML) framework for the .NET ecosystem.
-
The First AI to Beat Pros in 6-Player Poker, Developed by Facebook and Carnegie Mellon
Facebook AI Research’s Noam Brown and Carnegie Mellon’s professor Tuomas Sandholm recently announced Pluribus, the first Artificial Intelligence program able to beat humans in 6 player hold-em poker. In the past years, computers have progressively improved, beating humans in checkers, chess, Go, and the Jeopardy TV show. Poker poses more challenges around information asymmetry and bluffing.
-
Researchers Develop Technique for Reducing Deep-Learning Model Sizes for Internet of Things
Researchers from Arm Limited and Princeton University have developed a technique that produces deep-learning computer-vision models for internet-of-things (IoT) hardware systems with as little as 2KB of RAM. By using Bayesian optimization and network pruning, the team is able to reduce the size of image recognition models while still achieving state-of-the-art accuracy.
-
Google Adds New Integrations for the What-If Tool on Their Cloud AI Platform
In a recent blog post, Google announced a new integration of the What-If tool, allowing data scientists to analyse models on their AI Platform – a code-based data science development environment. Customers can now use the What-If tool for their XGBoost and Scikit Learn models deployed on the AI Platform.
-
Google Releases Post-Training Integer Quantization for TensorFlow Lite
Google announced new tooling for their TensorFlow Lite deep-learning framework that reduces the size of models and latency of inference. The tool converts a trained model's weights from floating-point representation to 8-bit signed integers. This reduces the memory requirements of the model and allows it to run on hardware without floating-point accelerators and without sacrificing model quality.
-
QCon SF 19: Biggest Savings Deadline (July 27th) & Track Host Announcement
QCon San Francisco (Nov 11-15) is the conference for senior software engineers and architects to learn about the patterns, practices and use cases leveraged by the world’s most innovative software organizations, such as Google, Netflix, BBC, AWS, Microsoft, and GitHub. By registering before July 27 you can save $750 on the full three-day conference pass.
-
Microsoft Announces Public Preview of Azure Data Share
Microsoft has announced the public preview of Azure Data Share, which provides capabilities to share data with users in the own organization, as well as with other organizations. Essentially, Microsoft positions the recently announced service as a big data tool, though it’s also possible to share individual files.
-
Google Acquires Elastifile to Expand Its Cloud File Storage Offering
Google recently acquired Elastifile, a provider of scalable, enterprise file storage in the cloud. With the acquisition, Google further extends its current file storage offering, Cloud Filestore, and third-party partner offerings.
-
Robot Social Engineering: Brittany Postnikoff at QCon New York
At QCon New York, Brittany Postnikoff presented “Robot Social Engineering: Social Engineering Using Physical Robots”. Quoting findings from academic research literature, she demonstrated that humans can often be manipulated via robots. A core message of the talk was the need for security and privacy to be part of any robot's fundamental design.
-
Amazon Releases Aurora PostgreSQL Serverless to General Availability
Recently, Amazon announced the general availability of the PostgreSQL-compatible edition of Aurora Serverless.