This week marks the kickoff of Neural Information Processing Systems (NeurIPS), one of the largest AI and machine learning conferences globally. NeurIPS 2017 and NeuIPS 2018 received 3,240 and 4,854 research paper submissions, respectively, and this year’s event — which takes place from December 8 to December 14 in Vancouver — is on track to […]
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DeepSpeech, a suite of speech-to-text and text-to-speech engines maintained by Mozilla’s Machine Learning Group, this morning received an update (to version 0.6) that incorporates one of the fastest open source speech recognition models to date. In a blog post, senior research engineer Reuben Morais lays out what’s new and enhanced, as well as other spotlight […]
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Presented by ThoughtWorks Every organization faces a dilemma when it comes to support for programming languages. On the one hand, there’s an understandable desire to standardize — a set of approved languages can help reign in maintenance costs and long-term viability. But equally, many of us recognize the benefits of using whichever language the developer […]
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Today marked the kickoff of Xiaomi’s annual Mi Developer conference in Beijing, and the tech giant wasted no time announcing updates across its AI portfolio. It took the wraps off of the latest release of Mobile AI Compute Engine (MACE), its open source machine learning framework, and it demoed an improved version of its Xiao […]
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Bizagi now offers its process automation tools and AI capabilities alongside Microsoft Azure Cognitive Services, and its Bizagi Studio Collaboration Services is free to use in the Azure Marketplace, too. This follows news from just a few weeks ago about updates to the company’s platform that allow non-data scientists to use AI and machine learning […]
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Cerebras Systems is unveiling the CS-1, billed as the fastest artificial intelligence computer in the world and certainly one of the most daring attempts to create a better supercomputer. And it has gained acceptance from the U.S. federal government’s supercomputing program. The CS-1 has an entire wafer as its brain, rather than a chip. Normally, […]
Read MoreBaidu’s PaddlePaddle (PArallel Distributed Deep LEarning), a platform originally developed by Baidu scientists for the purpose of applying AI to products internally, was open sourced in September 2016. Since then, it’s grown substantially with respect to the capabilities on offer, to this end today gaining 21 new features intended to “improve usability” and “accelerate [the] […]
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Popular project collaboration tool GitHub today announced a range of upgrades for programmers and developers working together including the launch of a GitHub mobile app for iOS smartphones and iPads. An Android app will be released in early 2020, GitHub VP of engineering Dana Lawson told VentureBeat. GitHub on mobile devices will allow users to […]
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GitHub’s annual Octoverse report is out today. It found that Microsoft’s Visual Studio Code or VSCode (19.1K), Azure Docs (14K), and Flutter (13K) were the top open source projects in total contributors on GitHub in the last year, followed by projects like Google’s TensorFlow (9.9K), Kubernetes (6.9K), and the React Native framework created by Facebook. […]
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On top of all the Visual Studio announcements at Ignite 2019 in Orlando today, Microsoft also shared some notable improvements to Visual Studio IntelliCode, which uses AI to offer intelligent suggestions that improve code quality and productivity. IntelliCode now supports whole-line completions and features dynamic refactoring detection. This is a continuation of Microsoft’s strategy of […]
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At Ignite 2019 today, Microsoft launched Visual Studio Online public preview. Visual Studio Online meshes Visual Studio, cloud-hosted developer environments, and a web-based editor. AI, big data, and cloud computing are shifting development beyond the “standard issue development laptop,” and Visual Studio Online is clearly a reflection of this trend. Microsoft today also released Visual […]
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Microsoft continues to build out the capabilities of its Azure Cognitive Services platform, per a small pile of announcements at its Ignite 2019 event. The company unleashed a firehose of announcements large and small across its product stack, and — as sometimes happens with that approach — there’s no apparent overarching theme to the Cognitive […]
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Machine learning and data science development isn’t exactly a walk in the park, but Netflix hopes to streamline the most arduous bits with a new freely available platform. The tech giant today announced that it’s open sourced Polynote, a multi-language programming notebook environment that integrates with Apache Spark and offers robust support for Scala, Python, […]
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At Android Dev Summit 2019 today in Sunnyvale, Google made a slew of developer announcements for its mobile operating system. The company released expanded APIs for Android Jetpack, Jetpack Compose in developer preview, and Android Studio 4.0 Canary, the latest version of its integrated development environment (IDE). Think of Android Jetpack as the successor to […]
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Language model pretraining, a technique that “teaches” machine learning systems contextualized text representations by having them predict words based on their contexts, has advanced the state of the art across a range of natural language processing objectives. However, models like Google’s BERT, which are bidirectional in design (meaning they draw on left-of-word and right-of-word context […]
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A faster, near real-time Google Assistant made its debut at a hardware event held today in New York, where the flagship Pixel 4 smartphone was also debuted. The next-generation Google Assistant can be used to open apps and deliver automated speech transcription from voice recordings, as well as using multi-turn dialogue to respond to multiple […]
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Facebook is planing to release PyTorch Mobile for deploying machine learning models on Android and iOS devices. PyTorch Mobile was released today alongside PyTorch 1.3, the latest version of Facebook’s open-source deep learning library with quantization and support for use of Google Cloud TPUs, and tools like Captum, which supplies explainability for machine learning models. […]
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Facebook today released the latest version of its deep learning library PyTorch with quantization and Google Cloud TPU support for speedier training of machine learning models. Also new today are PyTorch Mobile for deployment of ML on edge devices starting with Android and iOS devices, CryptTen, a tool for encrypted machine learning, and Captum, a […]
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Amazon’s adding a trio of new tools to the Alexa Skills Kit, a suite of self-service APIs and resources for conversational app development, designed to improve the quality of experiences developed for Alexa. The first two, which are now generally available — Natural Language Understanding (NLU) Evaluation Tool and Utterance Conflict Detection — enhance voice […]
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Gatsby, a Berkeley, California-based company developing an open source website and Progressive Web App (PWA) generator, today revealed that it’s secured $15 million in series A funding led by CRV. Previous investors Trinity Ventures, Mango Capital, Fathom Capital, and Dig Ventures also participated, along with individual investors Kong CEO Aghi Marietti and Adobe CPO Scott […]
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Google’s Firebase is getting new tools and upgrades today designed to help app developers do their jobs like new tools to test their creations including a Google Analytics integration to track performance and analyze insights from smartphone and web apps usage stats. To automate some work, Firebase Extensions is a set of premade code packages […]
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Facebook today announced it intends to buy Ctrl-labs, a New York-based startup developing a wristband that translates musculoneural signals into machine-interpretable commands. The acquisition hasn’t yet closed, and the terms weren’t revealed publicly. But the Menlo Park company plans to bring Ctrl-labs into its Reality Labs division, whose principal work concerns virtual and augmented reality. […]
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Personal assistants like Apple’s Siri accomplish tasks through natural language commands. However, their underlying components often rely on supervised machine learning algorithms requiring large amounts of hand-annotated training data. In an attempt to reduce the time and effort taken to collect this data, researchers at Apple developed a framework that leverages user engagement signals to […]
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