Collaborating Authors


Communications of the ACM

Moritz Lipp is a Ph.D. candidate at Graz University of Technology, Flanders, Austria. Michael Schwarz is a postdoctoral researcher at Graz University of Technology, Flanders, Austria. Daniel Gruss is an assistant professor at Graz University of Technology, Flanders, Austria. Thomas Prescher is a chief architect at Cyberus Technology GmbH, Dresden, Germany. Werner Haas is the Chief Technology Officer at Cyberus Technology GmbH, Dresden, Germany.

The 'Invisible' Materiality of Information Technology

Communications of the ACM

Such a disappearance is a fundamental consequence not of technology but of human psychology. Whenever people learn something sufficiently well, they cease to be aware of it. Thus, Weiser's vision is even broader: as this technology becomes truly embedded in human activity we won't be aware of it at all. As the field of ubiquitous computing has evolved, with computation embedded in walls, clothes, and so forth, the materiality to support it is often physically and intentionally hidden from the user. Indeed, this material disappearance is often considered evidence of good design. The "agent" metaphor, in particular in its early presentations such as the Knowledge Navigator and Starfire, is also another utopian vision. These virtual agents are typically accessible via peripherals such as screens or phones, doing the bidding of those they serve.

Trump Doubles up With Maryland, Virginia Memorial Day Events

U.S. News

Trump will visit Baltimore just over a week after Maryland began to lift some of the restrictions it had put in place for the coronavirus, though they remain in effect in Baltimore. Baltimore and the Washington, D.C., area have the nation's highest percentages of positive cases, according to Dr. Deborah Birx, coordinator of the White House coronavirus task force.

SAS Tutorial What is logistic regression?


In this SAS How To Tutorial, Christa Cody provides an introduction to logistic regression and looks at how to perform logistic regression in SAS. After a brief introduction, she will show how to do some basic procedures to your data and fitting the model in SAS Studio. Finally, Christa will demo how to do similar tasks using SAS Model Studio. Download Data Files Download the HMEQ data set that Christa uses Content Outline 00:23 – Intro to Logistic Regression 04:52 – Fit the model in SAS Studio 11:31 – Show similar tasks in SAS Model Studio 12:41 – Why use logistic regression? The LOGISTIC Procedure – Beyond Binary Outcomes paper – Free Statistics 1 e-Course – Free Intro to Statistical Concepts e-Course – Statistical Analysis learning path – SAS Tutorials on Logistic Regression – SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data.

Machine Learning: What Is It Really Good For?


Machine learning is definitely a confusing term. Is it AI or something different? Well, its actually a subset of AI (which, by the way, is a massive category). "Machine learning is a method of analyzing data using an analytical model that is built automatically, or'learned', from training data," said Rick Negrin, who is the VP of Product Development at MemSQL. "The idea is that the model gets better as you feed it more data points."

The Machine Learning Course


Online Courses Udemy - Learn and understand Machine Learning from scratch. A complete beginner's guide to learn Machine Learning. Hasanur Rahaman Hasib English [Auto-generated] Students also bought Applied Machine Learning For Healthcare Deploy Serverless Machine Learning Models to AWS Lambda Machine Learning A-Z: Hands-On Python & R In Data Science Python for Data Science and Machine Learning Bootcamp 2020 AWS SageMaker, AI and Machine Learning Specialty Exam Preview this course GET COUPON CODE Description Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own.

How machine learning can bridge the communication gap


In October 2019, an Amazon employee in Melbourne, Australia, bumped into another person while cycling on the road. As she was assuring that person that she would help, she realised he was deaf and mute and had no idea what she was saying. That awkward situation could have been avoided if assistive technology was on hand to facilitate communication between the two parties. Following the incident, a team led by Santanu Dutt, head of technology for Southeast Asia at Amazon Web Services, got down to work. Within 10 days or so, Dutt's team had built a machine learning model that was trained on sign languages.

How Baidu is bringing AI to the fight against coronavirus


In comparison to the last major outbreak of the SARS virus in 2003, those fighting this particular epidemic can leverage new and emerging technologies that quickly aid public health bodies in creating a valuable understanding of the coronavirus, guiding prevention efforts, augmenting human aid and support efforts, and facilitating virus research. In recent years, AI has begun to play a significant role in the health-care sector: Advanced computing and data-analysis tools enable information sharing and diagnostic practices, and deepen the medical profession's understanding of diseases and infections. Prompted by the urgent need to contain Covid-19, government agencies and private companies around the world are increasingly looking toward AI-based techniques to provide insight on its spread and support treatment for those who have been infected. Because of Covid-19's unpredictable but highly-contagious nature, academic and medical communities have prioritized analyzing the structure of the virus in order to create an effective vaccine. However, this virus is particularly challenging because it belongs to a family of enveloped coronaviruses that contain single-strand RNA structures.

Machine Learning Services Outsource Artificial Intelligence


Allianze Infosoft's expertise in Machine Learning Services, can attain the desired needs of our clients. With an aptitude upheld by profound research and learning in AI/ML advancements and technology, we convey significant financial savings for clients through our services. Our offshore Artificial Intelligence and Machine Learning group of IT experts are experienced and proficient enough to integrate and innovate cognitive technology with AI that effectively tunes in with the client business needs. We offer keen and cost-effective AI/ML solutions with deep insights that enables business to develop rapidly.

5 Deep Learning Challenges To Watch Out For


Deep learning is gaining prominence in the field of artificial intelligence, streamlining processes, and bringing huge financial gains to businesses. However, businesses must be aware of deep learning challenges before they employ deep learning to solve their problems. From your Google voice assistant to your'Netflix and chill' recommendations to the very humble Grammarly -- they're all powered by deep learning. Deep learning has become one of the primary research areas in artificial intelligence. Most of the well-known applications of artificial intelligence, such as image processing, speech recognition and translations, and object identification are carried out by deep learning.