Microsoft, Salesforce Join Hyperledger Enterprise Blockchain Consortium, IBM AI helps predict breast cancer a year before it appears, Google Assistant bests Alexa and Siri in most-used medication knowledge, Google Assistant bests Alexa and Siri in most-used medication knowledge and many more. Here’s your weekly update of This Week In Digital covering all the latest tech developments around the world.
Unity makes it easier to insert augmented reality into native mobile apps – Dean Takahashi, June 17, 2019.
Unity Technologies has launched an update that makes it easier to insert augmented reality features into native mobile apps and games. The update for Unity 2019.3 comes after Unity announced its AR Foundation tool that enables game developers to quickly create AR software that can run on both Android and iOS devices. Unity 2019.3 has added support for using Unity as a library controlled by native Android/Java and iOS/Objective C apps so developers can easily insert AR and other Unity features.
Microsoft, Salesforce Join Hyperledger Enterprise Blockchain Consortium – Anna Baydakova, June 18, 2019.
Two of the world’s largest top-10 enterprise software companies by revenue have joined the Hyperledger blockchain consortium. Microsoft and Salesforce are among the eight new members announced by Hyperledger Tuesday. The recruits also include Norilsk Nickel (Nornickel), a Russian metal company; Gloscad, a Polish tech company developing solutions for the agriculture industry; and Milligan Partners, a U.S.-based consulting firm focused on tech solutions for supply-chain management.
IBM AI helps predict breast cancer a year before it appears – Jon Fingas, June 18, 2019.
IBM isn’t just using AI to predict diabetes. Its researchers have developed an AI model that can predict malignant breast cancer within a year with an 87 percent accuracy rate comparable to human radiologists. While there are already AI prediction methods that rely on either mammogram images or medical records, IBM’s stands out by using both — and it’s potentially more reliable as a result.
Google’s AI picks which machine learning models will produce the best results – Kyle Wiggers, June 19, 2019.
The folks at Google have devised AI capable of predicting which machine learning models will produce the best results. In a newly published paper (“Off-Policy Evaluation via Off-Policy Classification “) and blog post, a team of Google AI researchers propose what they call “off-policy classification,” or OPC, which evaluates the performance of AI-driven agents by treating evaluation as a classification problem.
Google Launches Suspicious Site Reporter Extension, Chrome 75 Gets Deceptive URL Warning Feature – Harpreet Singh, June 19, 2019.
It is becoming increasingly important to stay safe while browsing the Web. While tech-savvy users know how to protect themselves online, others may fall for malicious sites and online phishing scams. Google is trying to fix this with two new features that are aimed at protecting users from deceptive websites on the internet. On Tuesday, the search giant announced a new Chrome extension and a new feature within its Chrome Web browser to protect users.
AI analyzes tweets to track conversations about city logistics – Kyle Wiggers, June 20, 2019.
Twitter’s veritable firehose of data has its uses, particularly in the fields of AI and machine learning. Chik-fil-A recently began tapping it to spot signs of foodborne illness at its restaurants, and scientists at the Joint Research Center — the European Commission’s science and knowledge service — earlier this year detailed a prototype that gauges real-time flood reports from Twitter users. Now, in a new city logistics study (“Unsupervised Machine Learning to Analyse City Logistics “) spearheaded by a Mines ParisTech team, tweets were analyzed by a machine learning algorithm to track conversation trends concerning city logistics, particularly around issues like low emission zones and urban distribution centers.
Google Assistant bests Alexa and Siri in most-used medication knowledge – Khari Johnson, June 20, 2019.
Google Assistant is far better than Apple’s Siri or Amazon’s Alexa at offering accurate information about frequently used drugs like aspirin or Zantac, according to analysis by Canadian consulting firm Klick Health. Research released today and published in Nature Digital Medicine that examines AI assistant intelligence about the 50 most-used medications in the United States gave Google Assistant a comprehension score of 91.8% accuracy on brand-name medication and 84.3% for generic names, followed by 58.5% and 51.2% for Siri, and 54.6% and 45.5 for Alexa.
Facebook Rolls out new Robotic Framework – Silicon Review, June 21, 2019.
Facebook AI unleashes new open source robotics framework. The company developed the open source robotic framework by joining hands with the researchers of Carnegie Mellon University.Dubbed as PyRobot, the robotic framework can operate deep learning models trained by Facebook’s ML framework PyTorch. PyRobot can make the machine programming for researchers very simple and even it could make it easier for non-robotics types to jump into the field.
Transform 2019: Women take front and center at the year’s most important AI conference – VentureBeat, June 21, 2019.
The gender equity gap in the tech industry is notorious, and overwhelming; the ratio of women to men in companies like Facebook, Apple, and Google sits at about 3:1, and women in Silicon Valley not only earn less than their male counterparts, but are awarded far less equity as well. But as AI infiltrates every facet of modern life and begins to shape a previously unimaginable future, it’s becoming clear that women play an essential role in crafting this game-changing technology.
Amazon adds 2,500 recordings to the Alexa Skills Kit Sound Library – Kyle Wiggers, June 21, 2019.
Voice app developers, rejoice: A host of new recordings today joined Amazon’s Alexa audio asset library, more than quintupling it in size. The Seattle-based tech giant announced in a blog post that it’s rolling out over 2,500 clips across 50 categories to the Alexa Skills Kit (ASK) Sound Library, the freely available collection it introduced in March 2018. It brings ASK’s total number of samples to nearly 3,000 (up from 400 in 14 categories), and it enables “rich” and “realistic” soundscapes (among other things) that tap ambient audio designed to imitate different spaces.
DoD’s Joint AI Center to open-source natural disaster satellite imagery data set – Khari Johnson, June 23, 2019.
As climate change escalates, the impact of natural disasters is likely to become less predictable. To encourage the use of machine learning for building damage assessment this week, Carnegie Mellon University’s Software Engineering Institute and CrowdAI — the U.S. Department of Defense’s Joint AI Center (JAIC) and Defense Innovation Unit — shared plans to open-source a labeled data set of some of the largest natural disasters in the past decade. Called xBD, it covers the impact of disasters around the globe, like the 2010 earthquake that hit Haiti.