Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...
There's an iconic scene at the end of the 1985 film "Back to the Future" when Doc Brown returns from 2015 to warn Marty McFly and his future wife, Jennifer, that their future children have "problems." ...
It’s boom times for meal-replacement products that cater to the overwhelmed (and wellness-obsessed) millennial. But Soylent they are not. Aspirationally branded meal replacements — like salads you can ...
Adam Aleksic has somehow managed to make linguistics cool. His rapid-fire videos have attracted an audience of millions across the social media universe. A Harvard graduate with a linguistics degree, ...
SINGAPORE – The unusual sight of a car stuck between the pillars of a sheltered walkway with both its front wheels off the ground has lit up social media, inspiring some netizens to come up with ...
This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...
Social media apps regularly present teens with algorithmically selected content often described as “for you”, suggesting, by implication, that the curated content is not just “for you” but also “about ...
Artificial intelligence (AI) in medicine is an increasingly studied and widespread phenomenon, applied in multiple clinical settings. Alongside its many potential advantages, such as easing clinicians ...
A tweet from Joe Biden got triple the impressions than Musk’s game time post, sending engineers scrambling to boost their boss Twitter chief executive Elon Musk rallied a team of roughly 80 engineers ...
The core function to generate element names is TopoShape::makESHAPE(). At a high level, the algorithm can be described as using four steps to try to name as many elements as possible. Let's take an ...
Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by ...
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