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Google Introduces TensorFlow Enterprise in Beta
In a recent blog post, Google announced TensorFlow Enterprise, a cloud-based TensorFlow machine learning service that includes enterprise-grade support and managed services.
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Facebook AI Releases New Computer Vision Library Detectron2
Facebook AI Research (FAIR) has released Detectron2, a PyTorch-based computer vision library that brings a series of new research and production capabilities to the framework. While the first Detectron was written in Caffe2, Detectron2 represents a full rewrite of the original framework in PyTorch from the ground up, with several new object detection capabilities.
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Google Announces Updates to AutoML Vision Edge, AutoML Video, and the Video Intelligence API
In a recent blog post, Google announced enhancements to a part of its Vision AI portfolio: AutoML Vision Edge, AutoML Video, and the Video Intelligence API. Each received updates to enhance their capabilities.
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Rasa Developer Summit: Production Grade AI Assistants
Rasa, an open source framework that provides machine learning tools to build and deploy contextual AI assistants, recently held its developer summit in San Francisco. The speakers at the summit shared interesting enterprise case studies on using Rasa to build AI assistants. "Our primary goal for the Rasa Developer Summit was to build community," said Alex Weidauer, CEO & co-founder of Rasa.
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Facebook Releases AI Code Search Datasets
Facebook AI released a dataset containing coding questions paired with code-snippet answers, intended for evaluating AI-based natural-language code search systems. The release also includes benchmark results for several of Facebook's own code-search models and a training corpus of over 4 million Java methods parsed from over 24,000 GitHub repositories.
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Google Releases Two New NLP Dialog Datasets
Researchers from Google AI released two new dialog datasets for natural-language processing (NLP) development: Coached Conversational Preference Elicitation (CCPE) and Taskmaster-1. The datasets contain thousands of conversations as well as labels and annotations for training digital assistants to better determine users' preferences and intentions.
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WebExpo 2019: Make Healthcare Affordable and Accessible Using Tech and AI
Anna Zawilska, lead user researcher at Babylon Health, recently presented at WebExpo 2019 in Prague the lessons learnt from their experience delivering remote healthcare through a combination of technology and Artificial Intelligence (AI). Babylon Health came to adjust three key assumptions underpinning their product development.
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Facebook, Microsoft, and Partners Announce Deepfake Detection Challenge
Facebook, Microsoft, the Partnership on AI, and researchers from several universities have created the Deepfake Detection Challenge (DDC), a contest to produce AI that can detect misleading images and video that have been created by AI. The challenge includes several grants and awards for the teams that create the best AI solution, using the DDC's dataset of real and fake videos.
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Waymo Shares Autonomous Vehicle Dataset for Machine Learning
Waymo, the self-driving technology company, released a dataset containing sensor data collected by their autonomous vehicles during more than five hours of driving. The set contains high-resolution data from lidar and camera sensors collected in several urban and suburban environments in a wide variety of driving conditions and includes labels for vehicles, pedestrians, cyclists, and signage.
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Introducing KiloGram, a New Technique for AI Detection of Malware
A team of researchers recently presented their paper on KiloGram, a new algorithm for managing large n-grams in files, to improve machine-learning detection of malware. The new algorithm is 60x faster than previous methods and can handle n-grams for n=1024 or higher. The large values of n have additional application for interpretable malware analysis and signature generation.
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How Artificial Intelligence Impacts Designing Products
Artificial intelligence is changing the way that we interact with technology; eliminating unnecessary interfaces makes interaction with machines more humane, argued Agnieszka Walorska at ACE conference 2019. The expectations towards customer experience have changed, and one factor that is becoming more and more important to this change is machine learning.
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New Technique Speeds up Deep-Learning Inference on TensorFlow by 2x
Researchers at North Carolina State University recently presented a paper at the International Conference on Supercomputing (ICS) on their new technique, "deep reuse" (DR), that can speed up inference time for deep-learning neural networks running on TensorFlow by up to 2x, with almost no loss of accuracy.
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Predicting the Future, Amazon Forecast Reaches General Availability
In a recent blog post, Amazon announced the general availability (GA) of Amazon Forecast, a fully managed, time series data forecasting service. Amazon Forecast uses deep learning from multiple datasets and algorithms to make predictions in the areas of product demand, travel demand, financial planning, SAP and Oracle supply chain planning and cloud computing usage.
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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%.
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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.