New AI programming language goes beyond deep learning
A team of MIT researchers is making it easier for novices to get their feet wet with artificial intelligence, while also helping experts advance the field. In a paper presented at the Programming Language Design and Implementation conference this week, the researchers describe a novel probabilistic-programming system named “Gen.” Users write models and algorithms from multiple fields where AI tech
Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language
EngineeringUber AI Labs Open Sources Pyro, a Deep Probabilistic Programming LanguageNovember 3, 2017 / Global Achieving Uber’s goal of bringing reliable transportation to everyone requires effortless prediction and optimization at every turn. Opportunities range from matching riders to drivers, to suggesting optimal routes, finding sensible pool combinations, and even creating the next generation
Pyro
NumPyro Release We’re excited to announce the release of NumPyro, a NumPy-backed Pyro using JAX for automatic differentiation and JIT compilation, with over 100x speedup for HMC and NUTS! See the examples and documentation for more details. Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive de
Uber、プログラミング言語「Pyro」を公開
人工知能(AI)や機械学習は今後のビジネスを左右する重要な技術と認識されており、多くの企業や研究者が研究開発に取り組んでいる。どの事業にどのような応用ができるか、その可能性は大きい。そうした成果の一部はすでに日々の生活に浸透しつつある。例えば、音声によるスマートフォンやスマートデバイスの操作、写真データから文字列の抽出と翻訳、リアルタイム音声翻訳などはわかりやすい成果だ。それ以外にもさまざまなシーンで利用が進んでいる。 先週、配車アプリの大手であるUberから「Pyro」と呼ばれるプログラミング言語が発表された。このプログラミング言語は確率論的プログラミング言語と位置づけられており、ディープラーニングやベイジアンモデルの統合を可能にするものだと説明がある。PyroはGitHubにおいてMITライセンスのものでオープンソースソフトウェアとして公開されている。 Pyro GitHub uber
Edward – Home
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and mach
Probabilistic Models of Cognition - 2nd Edition
Probabilistic Models of Cognition by Noah D. Goodman, Joshua B. Tenenbaum & The ProbMods Contributors This book explores the probabilistic approach to cognitive science, which models learning and reasoning as inference in complex probabilistic models. We examine how a broad range of empirical phenomena, including intuitive physics, concept learning, causal reasoning, social cognition, and language
Venture – MIT Probabilistic Computing Project
Venture Developer Alpha 0.5 Released! Overview Venture is a prototype general-purpose probabilistic computing platform. Venture hosts our (and in principle third-party) probabilistic applications, such as BayesDB. Venture is programmed primarily in VentureScript, but also supports applications written in other probabilistic or traditional programming languages. WARNING: Venture is rapidly evolving
Probabilistic Programming
PROBABILISTIC-PROGRAMMING.org This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications. If you would like to contribute to this site, please contact Daniel Roy. The site is still under construction: please help
The Design and Implementation of Probabilistic Programming Languages
The Design and Implementation of Probabilistic Programming Languages About: Probabilistic programming languages (PPLs) unify techniques for the formal description of computation and for the representation and use of uncertain knowledge. PPLs have seen recent interest from the artificial intelligence, programming languages, cognitive science, and natural languages communities. This book explains ho
What is probabilistic programming? - The PL Enthusiast
In this post, I introduce the emerging area of probabilistic programming, showing how probabilistic programs will hopefully make it easier to perform Bayesian-style machine learning, among other applications. Probabilistic programming is an exciting, and growing, area of research, with fantastic people in both AI/ML and PL working together and making big strides. PL methods — including formal sema
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Picture: A Probabilistic Programming Language for Scene Perception