Tag: TensorFlow
Sep 4, 2019 |
An effort to bring structure and meaning to huge volumes of varied data is being used to improve training of neural networks.
The technique, dubbed Neural Structured Learning (NSL) attempts to leverage what developers call “structured signals.” In model training, those signals represent the connections or similarities among labeled and unlabeled data samples. Read more…
Jul 2, 2019 |
A new AI programming language seeks to ease the process of writing inference algorithms and other predictive models without the hassle of grinding out complicated equations and code.
Among the goals of the probabilistic programming system dubbed “Gen” is making it easier for coding novices to write models and algorithms for broader AI applications such as computer vision and robotics. Read more…
May 22, 2019 |
Facebook has released to open-source developers a deep learning framework that does double duty for computer vision and language tasks.
Built on its PyTorch framework, Facebook is positioning Pythia as supporting “multitasking” for vision and language “multimodal AI models.” Among its capabilities are identifying visual data and automatically generating image captions, company developers said this week. Read more…
Apr 16, 2019 |
Quobyte designed its file system with scalability in mind. It also designed it to handle multiple types of files and workload without burdening human administrators with extra complexity. Both of those characteristics are at play with today’s addition of a TensorFlow plug-in for machine learning workloads on the Quobyte Data Center File System. Read more…
Apr 4, 2019 |
We do not usually associate artificial intelligence (AI) with creativity. Generally, AI algorithms are used to automatize repetitive tasks or predict new outcomes based on previously seen examples. The creative process can sometimes be repetitive and tedious, too. Read more…
Apr 3, 2019 |
Apache Spark is one of the most widely used tools in the big data space, and will continue to be a critical piece of the technology puzzle for data scientists and data engineers for the foreseeable future. Read more…
Apr 2, 2019 |
A startup combining persistent memory and data storage has emerged from stealth mode with a platform running on chip maker Intel’s Optane architecture.
MemVerge claims to have invented what it calls “memory-converged infrastructure” that eliminates barriers between memory and storage. Read more…
Mar 19, 2019 |
Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture.
Nvidia also announced that Apache Spark creator Databricks will integrate RAPIDS into its analytics platform. Read more…
Jan 9, 2019 |
Platform vendors are increasingly focusing on computing at the network edge as those devices sweep up more unstructured data. The goal is to move computing resources closer to data sources to reduce latency and bandwidth usage. Read more…
Jan 3, 2019 |
Application development has become a cloud-focused initiative in many enterprises. Consequently, the languages, tools, and platforms needed to support today’s development initiatives are rapidly evolving.
Application development is also a discipline in which data science is assuming a greater role. Read more…
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