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Around this time last year, everyone and their brother was launching a dashboard for COVID analytics. Most of these were quite similar to one another: basic COVID data pulled from a handful of primary sources and parsed into slightly different levels of granularity, visualized locally or globally depending on the audience. Read more…
Last year, OpenAI wowed the world with its eerily human language generator, GPT-3. The autoregressive model stood at a then-staggering 175 billion parameters, ten times higher than its predecessors. Read more…
According to the National Oceanic and Atmospheric Administration (NOAA), more than 80% of the ocean “remains unmapped, unobserved, and unexplored” – despite constituting more than 70% of the planet’s surface. Read more…
The first COVID-19 vaccine doses are going out in the United States, predominantly to frontline healthcare workers. Unfortunately, the vaccines are currently extremely limited, meaning that state governments are having to make difficult decisions about the order of vaccination priority. Read more…
When most of us hear the term big data, we tend to think of things like social media platforms, seismic data, or weather modeling. An essential use of big data, however, is to analyze data from complex systems to make them more efficient. Read more…
News In Brief
For clear reasons, telehealth has boomed during the pandemic, and its popularity remains even as vaccinations become more accessible. With this paradigm shift in treatment, some researchers are examining how to enable patients to measure more of their vitals in a home setting, decreasing the necessity of many in-person medical appointments. Read more…
As understanding of an issue evolves, the best set of available facts often changes: for instance, mask-wearing wasn’t recommended early in the COVID-19 pandemic, but now, it’s common knowledge that mask-wearing is helpful to stop the spread of the disease. Read more…
Sidewalk traffic data can be very telling: it can show how walkable – or not – an area is, it can indicate how popular shops or neighborhoods are, and it can indicate whether the urban planning in an area is functioning as intended. Read more…
Improving disease diagnosis is one of the most popular applications for deep learning researchers – and now, they’re looking to streamline the process: new research from Lawrence Livermore National Laboratory (LLNL) uses new “self-training” deep learning models to diagnose diseases from X-ray imaging. Read more…
In the earliest days of the pandemic, machine learning showed exceptional promise for COVID-19 diagnosis. Reliably, early machine learning models outperformed doctors in recognizing the telltale COVID-induced pneumonia on CT scans from hospitalized patients. Read more…
This Just In
April 19, 2021 — Urban farming has picked up in scale and sophistication globally in recent years. Several innovative urban farming approaches have been introduced in Singapore, such as rooftop farming, optimisation of land use, the introduction of more greenery into the built environment, and the 30 by 30 vision set by the Singapore Food Agency to target the production of 30 per cent of Singapore’s nutritional needs by 2030. Read more…
OTTAWA, April 15, 2021 — Carleton University and IBM Canada today announce a five-year multimillion-dollar collaboration agreement to enhance Carleton’s Institute for Data Science and equip students for essential jobs in emerging digital careers such as artificial intelligence (AI), machine learning and data science. Read more…
NEW YORK, April 14, 2021 — Metis, a leading provider of data science and analytics skills training for individuals and businesses, is launching a new Online Flex format of its bootcamps and short immersive courses. Read more…
April 14, 2021 — When the Dark Energy Science Collaboration (DESC), one of the projects associated with the upcoming Legacy Survey of Space and Time (LSST), needed a fast, secure, and convenient way to share large data sets with scientists around the world, they turned to the National Energy Research Scientific Computing Center (NERSC) for help. Read more…
SINGAPORE, April 14, 2021 — The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) today announced KDD 2021, the group’s flagship conference, will take place virtually Aug. Read more…