Research Roundup: Science & Technology Versus the 2019 Novel Coronavirus
Synced Global AI Weekly February 9th
AI Technology & Industry Review
Synced Global AI Weekly February 9th
Leading scientific publication Nature announced it is launching a trial starting this week that will give authors of newly published papers the option of appending contents of the discussions they’ve had with and reports they’ve received from their reviewers.
In a new paper, researchers from the New York University and Modl.ai, a company applying machine learning to game developing, suggest that simple spacial processing methods such as rotation, translation and cropping could help increase model generality.
Facebook’s new HiPlot is a lightweight interactive visualization tool that takes this further, using parallel plots to discover correlations and patterns in such high-dimensional data.
A new paper from the University of Washington Seattle and the University of California, Berkeley looks at saddle points on Riemannian Manifolds. In this article Synced takes a deep dive into this important research.
A new study suggests human-to-human transmission of the 2019 Novel Coronavirus (2019-nCoV) may have started as early as mid December, 2019.
Inspired by the performance of attention mechanisms in NLP, researchers have explored the possibility of applying them to vision tasks.
Synced Global AI Weekly January 12th
As part of our year-end series, Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019.
The ICLR 2020 conference programme chairs finally put the selection process behind them, announcing 687 out of 2594 papers had made it to ICLR 2020 — a 26.5 percent acceptance rate.
Synced Global AI Weekly December 15th
Every Friday Synced selects seven recent studies that present topical, innovative or otherwise interesting or important research we believe may be of interest to our readers.
Synced Global AI Weekly December 8th
On Fridays, Synced selects seven studies from the last seven days that present topical, innovative or otherwise interesting or important research that we believe may be of special interest to our readers.
This research demonstrated that deep learning can contribute to the traditional discipline with much better performance than existing methods.
Synced selects seven studies from the last seven days that present topical, innovative or otherwise interesting or important research that we believe may be of special interest to our readers.
Synced has surveyed last week’s crop of papers in the fields of machine learning, computer vision, computation and language, and beyond, and identified seven studies that we believe may be of special interest to our readers.
Synced surveyed last week’s crop of machine learning papers and identified seven that we believe may be of special interest to our readers.
The Synced Machine Intelligence Awards 2019 focus is “the power of industry” and the selection process will key in on AI companies’ products, application cases and industry landings — with the most noteworthy companies chosen based on real and objective industry performance.
Researchers at the Seattle Allen Institute for Artificial Intelligence (AI2) have proposed a Green AI initiative designed to make future AI research more energy efficient.
Commercial research labs run by Google Research, DeepMind, and OpenAI are taking central stage in the artificial intelligence era. The eye-popping achievements of these massively-funded AI labs are constantly producing headlines in tech journals and even mainstream media.
The San Francisco-based AI non-profit however has raised eyebrows in the research community with its unusual decision to not release the language model’s code and training dataset. In a statement sent to Synced, OpenAI explained the choice was made to prevent malicious use: “it’s clear that the ability to generate synthetic text that is conditioned on specific subjects has the potential for significant abuse.”
Synced Global AI Weekly February 10th






















