InfoQ Homepage Artificial Intelligence Content on InfoQ
-
NVIDIA Announces RAPIDS, Medical Image Application, and a Driving Simulator for Autonomous Vehicles.
Today Jensen Huang, CEO of NVIDIA, gave a keynote at the GPU Technology Conference 2018 in Munich. He announced RAPIDS, an open-source CUDA accelerated toolkit that can help data scientists to faster process their data. They announced a partnership to work on medical imaging. They announced a self-driving car simulator that car manufacturers can use for verification of autonomous vehicles.
-
Intelligent Automation on Pace for Explosive Growth, But Organizational Challenges Prevalent
In a recent KPMG study, the professional services organization published a report on the growth of Intelligent Automation. The report suggests that overall spend will reach $232 billion by 2025, compared to $12.4 billion which is spent today. But, this expected growth comes with many challenges, including tool maturity, skilled labor and organizational change management.
-
Google Announces General Availability of Cloud Text-to-Speech and Updates to Cloud Speech-to-Text
Google announced the general availability of Cloud Text-to-Speech, which allows developers to add natural-sounding speech to their devices or applications. Furthermore, Google also announced updates to Cloud Speech-to-Text by adding a broader set of features and enhancing the availability and reliability.
-
New York Creates Task Force to Examine Automated Decision Making
New York City has created an Automated Decision Systems Task Force to demand accountability and transparency in how algorithms are used in city government. The final report of the task force is due in December 2019. This task force is the first in the United States to study this issue.
-
Pymetrics Open-Sources Fairness-Aware Machine Learning Algorithms
Pymetrics, an AI start-up that specializes in providing recruitment services for organizations, has recently open-sourced their bias detection algorithms on Github. The tool, also known as Audit AI, is used to mitigate discriminatory patterns that exist within training data sets which influence or improve the probability of a population being selected by a machine learning algorithm.
-
Google Cloud Platform Release Edge TPU and Cloud IoT Edge
Google announced it would bring two new products to their cloud platform to aid customers in developing and deploying their devices. These products are the Edge TPU, a new hardware chip, and Cloud IoT Edge, an expansion of the Google Cloud AI capability for gateways as well as connected devices.
-
Instana Releases Sample Microservice Application
Instana, provider of AI powered monitoring solutions for dynamic containerised microservice applications, announced at QCon New York the release of Stan’s Robot Shop, a sample microservice application that can be used as a sandbox to test and learn about microservice architecture, containerised application orchestration and automatic monitoring techniques.
-
OpsRamp Introduces an AIOps Inference Engine
Provider of a SaaS based IT operations management platform, OpsRamp, has announced OpsRamp 5.0, a new release featuring an artificial intelligence for IT Operations (AIOps) inference engine for alerting and event correlation. The new release also includes a multi-cloud visibility dashboard.
-
Instana Extends AI Application Monitoring to AWS Lambda
Instana, a cloud-native provider of artificial intelligence based monitoring tools for dynamic containerized microservice applications, has extended support to include AWS Lambda, a serverless computing platform and also announced availability through the AWS Marketplace.
-
Apple Has Released Core ML 2
At WWDC Apple released Core ML 2: a new version of their machine learning SDK for iOS devices. The new release of Core ML should create an inference time speedup of 30% for apps developed using Core ML 2. An important new feature of the Core ML SDK is Create ML. Developers can create and train custom machine learning models on their mac.
-
Testing Software with Artificial Intelligence
Advances in computer vision algorithms and the application of modern artificial intelligence (AI) techniques have made writing visual tests practical. With AI in testing, autonomous testing becomes possible. The boring and rote tasks will be delegated to the AI so that the tester can do the thinking.
-
PyTorch 1.0 Announced for Research and Production AI Projects
In a recent blog post, Bill Jia announced a new 1.0 version of PyTorch. PyTorch is an open source AI framework package for Python with Tensor computation and Deep Neural Networks. The importance of this new release is the reduction in time required to move an AI-driven project from the research phase to production while improving the accuracy and performance of these applications.
-
CEO Satya Nadella Gives the First Day Keynote at Microsoft Build 2018
Satya Nadella, the CEO of Microsoft, delivered the first day keynote at the Microsoft Build conference in Seattle today. The first part of the keynote was about the opportunities and responsibilities facing Microsoft and the technology community today. The second part presented the focus of the conference: the intelligent cloud and the intelligent edge, specifically Azure and Microsoft 365.
-
Microsoft Embeds Artificial Intelligence Platform in Windows 10 Update
The next Windows 10 update opens the way for the integration of artificial intelligence functionalities within Windows applications. Developers will be able to integrate pre-trained deep-learning models converted to the ONNX framework in their Windows applications.
-
Microsoft Achieves Human Parity on Chinese-English Machine Translation
Microsoft created a translation algorithm that translates Chinese sentences to English as well as human translators do. Translating Chinese sentences into English has been difficult in the past. Thanks to neural machine translation, a technique that created amazing results in the last couple of years, Microsoft got their machine translated sentences on par with human translated sentences.