Google has announced the second developer preview of Android Things, the company’s Internet of Things solution for building connected devices with Android. The latest preview includes new features and bug fixes. “Now any Android developer can quickly build a smart device using Android APIs and Google services, while staying highly secure with updates direct from … continue reading
Google wants to help developers implement TensorFlow deep learning models with its release of TensorFlow Fold. TensorFlow Fold was designed to address the challenges developers face when applying models to domains of various sizes and structures. “In much of machine learning, data used for training and inference undergoes a preprocessing step, where multiple inputs (such … continue reading
One of the popular uses for machine learning is helping organizations sift through data to find new patterns, giving business executives information that is actionable. CData, a North Carolina-based provider of data access solutions, last week made its first foray into the open-source world with the creation of the CData ODBC Reader for TensorFlow. This … continue reading
Holiday breaks are a good time to catch up on relaxing, reading, or maybe indulging in some video gaming. Kevin Hughes did just that over his winter break, only it wasn’t he who was playing the games: It was an artificial neural network he trained using TensorFlow. Hughes is a senior developer at Shopify, and … continue reading
If you ask a bunch of developers what programming language they prefer, prepare for a bunch of different answers. One popular programming language that seems to still be on the rise, according to Tryolabs, is Python, which is why the organization recapped some of the best Python libraries of 2016 today. Tryolabs, a company that … continue reading
At AnDevCon today, Timothy Jordan, head of Google platform developer relations, gave a keynote to detail the current and future state of the platform and its ensuing toolsets. He described changes coming in Android 7.1, and he taught attendees how to get started with TensorFlow on Android devices. The next release of the Android platform … continue reading
Grafana 4.0 is now available with an alerting feature, which turns Grafana into a critical monitoring tool. This release also comes with new minor features, fixes and an improved UX. According to Grafana, the alert rules can be configured using existing graph panels and threshold levels by dragging handles to the right side of the … continue reading
With all of the advancements made in artificial intelligence and machine learning today, there seems to be an influx of tools and solutions that are starting to leverage cognitive capabilities. But do these tools and solutions actually reflect the true meaning of AI? According to Jonas Nwuke, platform manager for IBM Watson, AI (or cognitive … continue reading
Ever since its launch, TensorFlow has been available to developers on Android. Now, the Google team has added support for iOS in v0.9 of TensorFlow, along with Raspberry Pi support and new compilation options. TensorFlow for iOS was built with a specific set of scripts, including a makefile to drive the cross-compilation process. This makefile … continue reading
There have been plenty of announcements coming out of Google I/O this week, and yesterday, Google said that one of its projects that was created years ago is helping it accomplish its own custom accelerators for machine learning applications. The result of that project is called a Tensor Processing Unit (TPU), which is a custom … continue reading
At GCP Next, Google announced the latest results of work completed on the Google Cloud Platform. The next round of innovation builds on its portfolio of data-management and analytics capabilities by adding new products and services in areas like machine learning, open source and Big Data. Google introduced a new product family called Cloud Machine … continue reading
Google has announced the release of TensorFlow Serving, a flexible, high-performance and open-source serving system for machine-learning models. The solution was designed for production environments and optimized for TensorFlow, the company’s machine-learning system. “Machine learning powers many Google product features: from speech recognition in the Google app to Smart Reply in Inbox to search in … continue reading
