Amazon Alexa for ShareFile

First, sign into Amazon Alexa either on the mobile app or web app. Once the ShareFile Voice skill is added to your app, invoke the skill by saying “Open ShareFile”. Then, start asking Alexa questions about your account’s activity. Below is a list of sample questions you can ask to get started.

  • “ShareFile, How do my storage zones look?”
  • “ShareFile, Please generate an access report.”
  • “ShareFile, Send me an Upload report for today.”
  • “ShareFile, How many users do I have on my account?”


Note: The skill is only available for users with admin permissions. Please send any feedback to voice@citrix.com.

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SD Times news digest: Microsoft’s AI for Accessibility grants, Hyperledger Sawtooth 1.2, and …

Microsoft announced that it is offering a grant to ObjectiveEd, the makers of the Braille Tutor app, which incorporates AI-based speech recognition to help students practice reading Braille with personalized learning plans. The grant is part of Microsoft’s AI for Accessibility program to help people using AI-powered technology.

The Braille Tutor app was created because currently, only 13% of blind or visually impaired students know Braille and in most public schools, teachers who know Braille only come to the schools once a week to teach personalized lessons, the company explained. The app aims to fix that by helping to teach Braille.

“We have a huge opportunity and a responsibility to be making technology smarter and more useful for people with disabilities,” said Mary Bellard, Microsoft senior architect lead for accessibility. The aim of the AI for Accessibility program, which began in 2018 and now has 32 grantees, is to help people “build something really useful at the intersection of AI, accessibility and disability.”

MIT researchers develop algorithm to give robots a better grip

Researchers at MIT developed a new algorithm that speeds up the planning process that robots use to adjust their grip on objects, thereby giving them a better, faster grasp.

Whereas traditional algorithms would require tens of minutes for planning out a sequence of motions, the team’s new approach shaves this pre planning process down to less than a second, according to a post.

“Seemingly simple variations, such as how hard robot grasps the object, can significantly change how the object moves in the grasp when pushed,” Rachel Hollada, a graduate student in electrical engineering and computer science at MIT, explained. “Based on how hard you’re grasping, there will be a different motion. And that’s part of the physical reasoning that the algorithm handles.”

Hyperledger Sawtooth 1.2

Hyperledger Sawtooth 1.2 is now available, adding full support for the PBFT consensus engine and for mobile application development with new SDKs for iOS and Android.

“Now, Sawtooth PBFT 1.0 is the preferred consensus for small-to-medium networks — it’s leader-based, non-forking, and fast. PBFT also provides the safety and liveness guarantees that are necessary for operating a blockchain network with adversarial trust. This makes PBFT an excellent option for smaller consortium-style networks,” the Hyperledger Foundation wrote in a post.

The release also contains transaction family compatibility with Sawtooth Sabre, enhanced performance and stability, improved documentation, better support for consensus algorithms, and overall platform refinements for a better developer experience.

Accusoft announces Barcode Xpress .NET Core

Accusoft released Barcode Xpress .NET Core, which offers support for 1D and 2D barcodes, recognition of over 30 barcode types and support for damaged and broken barcodes.

“Developers can integrate Barcode Xpress into their application with just a few lines of code,” said Steve Wilson, VP of product at Accusoft. “This new development environment enables developers from a variety of programming backgrounds to integrate leading barcode technology into their applications.”

Barcode Xpress is now available in Node.js, .NET, C/C++, ActiveX, Java, and .NET Core. The full details are available here.

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What’s the Connection Between Big Data and AI?

When people talk about big data, are they simply referring to numbers and metrics?

Yes.

And no.

Technically, big data is simply bits and bytes—literally, a massive amount (petabytes or more) of data. But to dismiss big data as mere ones and zeroes misses the point. Big data may physically be a collection of numbers, but when placed against proper context, those numbers take on a life of their own.

This is particularly true in the realm of artificial intelligence (AI). AI and big data are intrinsically connected; without big data, AI simply couldn’t learn. From the perspective of the team in charge of Oracle’s Cloud Business Group (CBG) Product Marketing, they liken big data to the human experience. On Oracle’s Practical Path To AI podcast episode Connecting the Dots Between Big Data and AI, team members compare the AI learning process to the human experience.

The short version: the human brain ingests countless experiences every moment. Everything that is taken in by senses is technically a piece of information or data—a note of music, a word in a book, a drop of rain, and so on. Infant brains learn from the very beginning they start taking in sensory information, and the more they encounter, the more they are able to assimilate and process, then respond in new and informed ways.

AI works similarly. The more data an AI model encounters, the more intelligent it can become. Over time, as more and more data processes through the AI model, it becomes increasingly significant. In that sense, AI models are trained by big data, just as human brains are trained by the data accumulated through multiple experiences.

And while this may all seem scary at first, there’s a definite public shift toward trusting AI-driven software. This is discussed further by Oracle’s CBG team on the podcast episode, and it all goes back to the idea of human experiences. In the digital realm, people now have the ability to document, review, rank, and track these experiences. This knowledge becomes data points in big data, thus fed into AI models which start validating or invalidating the experiences. With enough of a sample size, a determination can be made based on “a power of collective knowledge” that grows and creates this network.

However, that doesn’t mean that AI is the authority on everything, even with all the data in the world.

To hear more about this topic—and why human judgment is still a very real and very necessary part of, well, everything—listen to the entire podcast episode Connecting the Dots Between Big Data and AI and be sure to visit Oracle’s Big Data site to stay on top of the latest developments in the field of big data.

Guest author Michael Chen is a senior manager, product marketing with Oracle Analytics.

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Meet Deep Learning with Intel – The New Addition to the Dell EMC Ready Solutions for AI Portfolio

This post is co-authored by Carlos Morales, Senior Director of Deep Learning Systems, AI Products Group, Intel The new Dell EMC Ready Solutions for AI – Deep Learning with Intel accelerates AI insights, optimizes TCO and offers a fast on-ramp for deep learning workloads. In a quest to bring the promise of artificial intelligence to life and capitalize on the massive amounts of data generated on a 24×7 basis, many organizations are rushing to pull together the different technology elements needed to power deep learning workloads. Today, this quest just got a lot easier with the … READ MORE

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Taking the Fear Factor Out of AI

For decades, films like Space Odyssey, War Games, Terminator and The Matrix have depicted the future and what it would be like if artificial intelligence (AI) took over the world. Fast forward to 2019 and AI is quickly becoming a reality. The things we only used to see in the movies are improving our daily lives and we often don’t realize it. We’ve been living with AI assistance for quite some time. We use Waze and Google Maps to help us predict traffic patterns and find the shortest driving routes. We let Roomba navigate our homes … READ MORE

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Global and Taiwanese ICT Application Industry and Market, 2018 and Beyond: Airbnb, Alibaba …

Market Analysis Research Report on “Global and Taiwanese ICT Application Industry” has been added to orbis research database.

Global and Taiwanese ICT Application Industry and Market

This report encompasses six major applications in the ICT (Information and Communications Technology) industry, including cloud services, AI (Artificial Intelligence), Blockchain, information security/cybersecurity, mobile payment, and sharing economy. MIC (Market Intelligence & Consulting Institute) explores the development of these six applications both worldwide and in Taiwan, and highlights the key issues facing the ICT application industry and market.

Quarterly shipment volume and value performance of the Taiwanese DSL CPE industry for the period 1Q 2016 – 3Q 2019

The Taiwanese DSL CPE industry with breakdowns by product mix, assembly location, and shipment destination

Airbnb, Alibaba, Amazon, Apple, Baidu, CA, Check Point, Cisco, DearChef, Emc, Ethereum, Face++, Flashback, Fortinet, Google, Hyperledger, IBM, International Data Corporation, IOTA Foundation, JKOPay, Juniper, Kaspersky, Line, Longage, MAC, Market Intelligence & Consulting Institute, MasterCard, McAfee, Microsoft, PayPal, R3, SenseTime, Symantec, Tencent, Trend Micro, Websense, WeMo Scooter, World Economic Forum

Request a Sample Copy of this report @ https://www.orbisresearch.com/contacts/request-sample/2392663

Table of Content:

1. Cloud Service

1.1 Global Cloud Service Development

1.2 Taiwan’s Cloud Service Development

1.3 Important Issues

2. AI (Artificial Intelligence)

2.1 Development and Important Issues of Global Artificial Intelligence Industry

2.2 Development and Important Issues of Taiwan’s Artificial Intelligence Industry

3.Blockchain

3.1 Development and Important Issues of Global Blockchain

3.2 Development and Important Issues of Taiwan’s Blockchain

4.Information Security

4.1 Development of Global Information Security Industry

4.2 Development of Taiwan’s Information Security Industry

4.3 Important Issues

4.3.1 Malicious Software Grows Rapidly

4.3.2 Ransomware Become the Mainstream of Crime

4.3.3 New Vulnerabilities Affect New IoT Devices:

4.3.4 The Use of AI Helps Strengthen Information Security Protection:

5. Mobile Payment

5.1 Global Mobile Payment Development

5.2 Taiwan’s Mobile Payment Development

5.3 Important Issues

6. Sharing Economy

6.1 Global Shared Economy Development

6.2 Taiwan’s Sharing Economy Development

6.3 Important Issues

Appendix

Glossary of Terms

List of Companies

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Evolution at the Edge

At Dell Technologies World this year, customers and journalists were curious about trends I am seeing in the marketplace and predictions for the future. I shared my views on the impact of 5G , how AI and IoT are continuing to intersect, and the need for businesses to have consistent, flexible infrastructure to quickly adapt. I also emphasized that the foundation of all these transformations is the shift to edge computing—and it’s our OEM & IoT customers across all industries who are leading this evolution. Location, location, location At this point, I should clarify what I … READ MORE

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