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Features
May 30, 2018 |
One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don’t know how the models generated their answers, even if we’re very confident in the answers themselves. Read more…
Mar 15, 2018 |
If you’ve worked with the data science community, you’ve probably interacted with data scientists and formed a definition for the increasingly popular position. But it turns out, not all data scientists are alike, and according to a recent analysis by researchers at UCLA and Microsoft, there are actually nine different types of data scientists. Read more…
Dec 21, 2017 |
It’s been a fascinating year in advanced scale computing, much of that fascination focused on AI (broadly defined), now firmly established as the leitmotif of the high performance computing sector. Read more…
Dec 13, 2017 |
2017 has come and (almost) gone. It was a memorable year, to be sure, with plenty of drama and unexpected happenings in terms of the technology, the players, and the application of big data and data science. Read more…
Dec 12, 2017 |
Deep learning has given us tremendous new powers to spot patterns hidden in great globs of data. For some challenges, neural networks can even outperform top human experts. However, despite all the progress the new approach represents and the hope that it will lead us to actual artificial intelligence, there are big limits on the practical application of deep learning. Read more…
News In Brief
Jun 14, 2018 |
Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science.
The shift is driven in part by the enterprise transition from merely managing big data to using machine learning and other connected data tools to glean insights in real time, according to the data science survey released this week by Python platform specialist Anaconda Inc. Read more…
May 23, 2018 |
A developers’ conference is generally regarded as an indication the host company is all-in on a particular technology. Intel Corp.’s inaugural AI DevCon highlights its strategy of moving beyond its dominant position in the server and other processor markets to focus on “the AI-driven future of computing.”
The two-day event in San Francisco focused on forging a “holistic” Read more…
May 9, 2018 |
Among the consequences of big data is a wealth of relevant minutiae that can be used to train machine learning and other models. That often translates into processing-intensive steps required to train models to perform a specific task. Read more…
May 3, 2018 |
As AI and machine learning systems advance, real-world applications are exposing limitations such as the inability to adapt to situations beyond the narrow tasks those systems were trained to perform. Read more…
Mar 28, 2018 |
A deep learning approach can perform as well as a meteorologist in predicting dangerous hailstorms from radar images, a National Center for Atmospheric Research (NCAR) researcher said this week at Nvidia’s GPU Technology Conference in San Jose, California. Read more…
This Just In
Jun 18, 2018 |
TYSONS CORNER, Va., June 18, 2018 — MicroStrategy Incorporated (Nasdaq: MSTR), a leading worldwide provider of enterprise analytics and mobility software, today announced that the University of Colorado Denver School of Business is participating in the MicroStrategy Academic Program to provide free MicroStrategy software licenses, technical support and training to students in their Master of Science in Information Systems (MSIS) program. Read more…
May 22, 2018 |
May 22, 2018 — At every scale, in every domain, from intracellular molecular signaling pathways to global carbon emissions, we need to model complicated systems and their interactions.
Modeling is difficult work, but new technologies from artificial intelligence and data science promise to make it easier and more accurate. Read more…
Apr 23, 2018 |
ANN ARBOR, Mich., April 23, 2018 — From digital analysis of Bach sonatas to mining data from crowdsourced compositions, researchers at the University of Michigan are using modern big data techniques to transform how we understand, create and interact with music. Read more…
Apr 19, 2018 |
AMHERST, Mass., April 19, 2018 – Computer science researcher Daniel Sheldon at the University of Massachusetts Amherst has been awarded a five-year, $550,000 faculty early career development (CAREER) grant from the National Science Foundation (NSF) to design and test new mathematical approaches and algorithms to help ecologists and other scientists better use large data sets generated by citizen science projects, animal tracking devices and earth observation instruments, among other goals. Read more…
Apr 19, 2018 |
WEST LAFAYETTE, Ind., April 19, 2018 — The creation of a “data science for all” ecosystem is the goal of a new initiative at Purdue University that will make data science education part of every student’s learning experience on campus while also boosting research and partnerships to help grow the data-driven economy. Read more…
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