IBM makes AI speech recognition better, Google Cloud beefs up with 30 security announcements, and how AI is going to change the way we grow food and create art. Read more about all the tech developments that have happened in the past week.
IBM Patents Blockchain Implementation to Manage Data for Autonomous Vehicles – Marie Huillet, April 08, 2019.
IBM — which has, according to the documents, previously filed extensive patents for various inventions related to autonomous cars — outlines that a blockchain system could effectively enhance SDV configurations by allowing for robust privacy and information validation. The context for prospective blockchain implementation would be a system wherein an SDV interacts and predicts the behavior of the drivers of non-autonomous vehicles nearby.
New IBM technique cuts AI speech recognition training time from a week to 11 hours – Kyle Wiggers, April 10, 2019.
Reliable, robust, and generalizable speech recognition is an ongoing challenge in machine learning. Traditionally, training natural language understanding models requires corpora containing thousands of hours of speech and millions (or even billions) of words of text, not to mention hardware powerful enough to process them within a reasonable timeframe.
Google Cloud Platform beefs up with 30 security announcements – Emil Protalinski, April 10, 2019
Throughout Google Cloud Next 2019 this week, Google execs kept repeating one number: 30 security-related announcements. We’re not sure how exactly the company is counting, but the message is clear: Google Cloud Platform (GCP) is getting more secure. The highlight was undoubtedly Android phone security keys.
Google’s new AI tools scan documents, take phone calls, and search for products – Tech2 News, April 11, 2019.
Google is constantly upgrading and refining its AI capabilities and naturally Google’s services are going to be useful at not only the consumer level but also at the enterprise level as well. At Google Cloud Next conference, the company has unveiled a host of products that are aimed at scanning documents, take phone calls, and search for products.
Amazon’s AI improves bass response, loudness, and echo cancellation on Echo devices – Kyle Wiggers, April 11, 2019.
Ever heard of “multiband dynamics processing” (MBDP)? It’s a technique that modifies the volume of an audio signal across frequency bands, often with the effect of improving echo cancellation. But it’s not without its drawbacks. Namely, it doesn’t always cleanly separate signals into their component frequencies and it tends to use fixed bands, which in practice impact loudness and bass response and cause unpleasant distortions.
AI predicts hospital readmission rates from clinical notes – Kyle Wiggers, April 11, 2019.
Electronic health records store valuable information about hospital patients, but they’re often sparse and unstructured, making them difficult for potentially labor- and time-saving AI systems to parse. Fortunately, researchers at New York University and Princeton have developed a framework that evaluates clinical notes (i.e., descriptions of symptoms, reasons for diagnoses, and radiology results) and autonomously assigns a risk score indicating whether patients will be readmitted within 30 days.
AI is changing the way we study the stars, grow food, and create art – Kyle Wiggers, April 12, 2019.
Too often, technologists become wrapped up in doom-and-gloom predictions about job-stealing, prejudicial, and potentially murderous AI. Fear sells, the saying goes, and that seems doubly true when it comes to emerging tech.
Google Cloud is using Anthos and AutoML to differentiate itself from AWS and Azure – Khari Johnson, April 12, 2019.
Google Cloud now is now using Anthos and AutoML to differentiate itself from market leaders Amazon Web Services (AWS) and Microsoft Azure, chief AI scientist Andrew Moore and product management director Rajen Sheth told VentureBeat.