Wisconsin


Welcome! You are invited to join a webinar: Production ML with the Autonomous Data Warehouse. After registering, you will receive a confirmation email about joining the webinar.

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We use data from a popular Kaggle competition, the Wisconsin Breast Cancer data, to build a binary classification model for the liklihood of a tumor being benign or malignant. We see how OAC's Data Visualization can be used to profile & explore the data, and can be used to do a rapid prototype of a Machine Learning model with DVML. See how ADW can be used to easily drop a Machine Learning model into production and enabled as a REST API for custom Applications and websites. By registering for this TechCast you give permission for your name and email address to be shared with the presenter and for BIWA User Community so we can inform you of future TechCasts and conferences of interest.


Wisconsin Quantum Institute Awarded Grant to Advance Quantum Computing Machine Learning

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The U.S. Department of Energy recently announced the funding of another set of quantum science-driven research proposals, including that of Sau Lan Wu, Enrico Fermi professor of physics and Vilas Professor at the University of Wisconsin – Madison. With the funding, Wu and her collaborators seek to tap into the power of quantum computing to analyze the wealth of data generated by high energy physics experiments. The title of Wu's DOE approved project is: "Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware". Wu, a member of the Chicago Quantum Exchange (CQE) and Wisconsin Quantum Institute at UW–Madison who conducts her research at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland, was one of only six university-based investigators – those outside of National Labs – to be awarded the DOE quantum funds for particle physicists. "The ambitious HL-LHC program will require enormous computing resources in the next two decades," says Wu. "A burning question is whether quantum computers can solve the ever-growing demand for computing resources, and our goal here is to explore and to demonstrate that quantum computing can be the new paradigm."


World first after researchers create an AI made of glass – Fanatical Futurist by International Keynote Speaker Matthew Griffin

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Connect, download a free E-Book, watch a keynote, or browse my blog. Recently, I talked about a team of researchers in the US that had managed to 3D print an Artificial Intelligence (AI) neural network, and another team that had made a complex neural network from DNA. But now, in another new development in the field of what's known as Diffractive Neural Networks, a team of researchers have created the smartest piece of glass in the known universe. Zongfu Yu at the University of Wisconsin–Madison and his colleagues have created a glass based AI that uses light to recognise and distinguish between images. What's more, the glass AI doesn't need to be powered to operate.


NVIDIA Software Head Helps Transform MSOE into Leading AI Center NVIDIA Blog

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Three decades and hundreds of millions of lines of computer code after graduating from the Milwaukee School of Engineering, NVIDIA's Dwight Diercks returned today to celebrate a donation that will put his alma mater at the forefront of AI undergraduate education. Diercks, who grew up the son of a mailman, working on his family's pig farm in Red Wing, Minnesota, came to NVIDIA as its 22nd employee. Today, he oversees a team of some 5,000 software engineers around the world who ship tens of millions of lines of code each month that help accelerate the world's computing. Diercks' $34 million gift, the largest from an alum in MSOE's 116-year history, is the keystone in the school's efforts to infuse its engineering program with artificial intelligence. Two years ago, MSOE became one of the very few programs, together with Carnegie Mellon, to offer a computer science degree focused on AI.


Milwaukee School of Engineering opens new Diercks Center with focus on artificial intelligence, robotics

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The Dwight and Dian Diercks Computational Science Hall is now open at the Milwaukee School of Engineering campus. A new academic center for next-generation technologies is celebrating its grand opening at Milwaukee School of Engineering. The Dwight and Dian Diercks Computational Science Hall, funded by a donation from Dwight Diercks, a MSOE regent and alumnus, and his wife, Dian, was just completed at 1025 N. Milwaukee St. -- in the center of the downtown campus. It will prepare students for such growing fields as artificial intelligence, deep learning, cybersecurity, robotics and cloud computing. Artificial intelligence involves computers simulating human behavior to perform tasks.


Diercks Hall Puts MSOE at Center of AI Transformation – Chicago Business Journal – IAM Network

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A recent study, titled Milwaukee's Tech Talent Impact, found that nearly one-quarter of the total regional economic output was dependent on technology talent.


Machine learning and its radical application to severe weather prediction

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In the last decade, artificial intelligence ("AI") applications have exploded across various research sectors, including computer vision, communications and medicine. Now, the rapidly developing technology is making its mark in weather prediction. The fields of atmospheric science and satellite meteorology are ideally suited for the task, offering a rich training ground capable of feeding an AI system's endless appetite for data. Anthony Wimmers is a scientist with the University of Wisconsin–Madison Cooperative Institute for Meteorological Satellite Studies (CIMSS) who has been working with AI systems for the last three years. His latest research investigates how an AI model can help improve short-term forecasting (or "nowcasting") of hurricanes.


Informatica Invests in AI and Machine Learning Startup GreenBay Technologies

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Informatica, the enterprise cloud data management leader, today announced it is investing in GreenBay Technologies, a data management startup focused on AI and machine learning, to develop AI innovations that strengthen the impact of Informatica's AI-powered CLAIRE engine across its Intelligent Data Platform . GreenBay Technologies has ties to the University of Wisconsin (UW) at Madison and the Wisconsin Alumni Research Foundation (WARF), one of the oldest and most successful technology transfer offices in the nation focused on advancing transformative discoveries to the marketplace. GreenBay Technologies develops products that use machine learning and big data technologies to automate complex data management tasks such as entity and schema matching. The company was co-founded by Dr. AnHai Doan, UW's Vilas Distinguished Achievement Professor, who oversees multiple data management research projects at the university's department of computer science. Doan and the staff of Ph.D. students will collaborate with Informatica's R&D team to enhance Informatica's CLAIRE engine and power industry-leading data management solutions.


Machine learning and its radical application to severe weather prediction

#artificialintelligence

In the last decade, artificial intelligence ("AI") applications have exploded across various research sectors, including computer vision, communications and medicine. Now, the rapidly developing technology is making its mark in weather prediction. The fields of atmospheric science and satellite meteorology are ideally suited for the task, offering a rich training ground capable of feeding an AI system's endless appetite for data. Anthony Wimmers is a scientist with the University of Wisconsin–Madison Cooperative Institute for Meteorological Satellite Studies (CIMSS) who has been working with AI systems for the last three years. His latest research investigates how an AI model can help improve short-term forecasting (or "nowcasting") of hurricanes.


UW launches new school of computer science, responding to student demand and workforce need

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The lab is directed by Bilge Mutlu, associate professor of computer science, psychology and industrial engineering, and focuses on the study of how humans interact with robots including specialization in human-robot collaboration, robot-mediated communication and designing robot peers for children. The University of Wisconsin-Madison announced on Thursday the creation of its first new school in two decades, responding to high demand from students and a burgeoning need in the state's workforce. The vision for a new School of Computer, Data and Information Sciences reflects a number of forces coming together on the flagship campus. Computer science is now the most popular undergraduate major at the university, growing to 1,560 students in 2018. Over several years, massive increases in student enrollment strained the computer science department's resources.