Oh yes! Two of my favourite SUMMER themes collide – a wonderful DIY Watermelon Craft, meets the summer classic Yarn Weaving Project: How to make a God’s Eye! Now we have made God’s Eyes before! We love this nature God’s eye version – using beach finds in summer and conkers in Autumn. As well as […]
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A new study demonstrates that with the use of artificial intelligence and machine learning, it is possible not only to accurately sort sick cardiac cell cultures from healthy ones, but also to differentiate between genetic cardiac diseases.
Scientists have recently designed the first neurosurgical robotic system capable of performing bilateral stereotactic neurosurgery inside a magnetic resonance imaging (‘MRI’) scanner.
Comparing machine learning methods and selecting a final model is a common operation in applied machine learning.
Models are commonly evaluated using resampling methods like k-fold cross-validation from which mean skill scores are calculated and compared directly. Although simple, this approach can be misleading as it is hard to know whether the difference between mean skill scores is real or the result of a statistical fluke.
Statistical significance tests are designed to address this problem and quantify the likelihood of the samples of skill scores being observed given the assumption that they were drawn from the same distribution.
The best way to celebrate Shark Week is by making the coolest, funnest shark activities and crafts for kids.
By Lance Eliot, the AI Trends Insider
One of the most vital tenets of science consists of the principle of reproducibility.
When a scientific result is reported, how do we know that it is something generalizable and not just a happenstance, one-time fluke or possibly even merely the outcome of a mistake made in performing the science? We can have a greater belief in the result if it is possible to reproduce the science.
Amazon has followed up on its announcement to build a Fulfillment Center in Oklahoma by announcing plans to build a second such facility in the state. The second FC will be over 600,000 square feet featuring innovative technology from Amazon Robotics. Amazon will use the warehouse to fulfill small items such as books, household items and toys.
Amazon’s second Oklahoma fulfillment center, to be located in Tulsa, will create 1,500 full-time jobs with opportunities for employees to engage with robotics technology.
By Mark Barry of Luminoso
As we all go about our day using the internet, talking to brands, and interacting online, we don’t adhere strictly to the writing guidelines of the Associated Press. We use a lot of slang, jargon, technical corporate terms, figurative language, and other communication shorthands — unstructured digital data that other humans understand easily, but that confounds Artificial Intelligence (AI).
The problem is that we tend to use very colorful, interesting, and funny language because we know that our words could reach a larger audience that way.
On Memorial Day weekend 2038, when your grandchildren visit the California coast, will they be able to spot a black bird with a long orange beak called the Black Oystercatcher? Or will that bird be long gone? Will your grandchildren only be able to see that bird in a picture in a book or on a website?
A couple of data scientists at the National Audubon Society have been examining the question of how climate change will impact where birds live in the future, and the Black Oystercatcher has been identified as a “priority” bird — one whose range is likely to be impacted by climate change.
When you think of artificial intelligence (AI), you might not immediately think of the healthcare sector.
However, that would be a mistake. AI has the potential to do everything from predicting readmissions, cutting human error and managing epidemics to assisting surgeons to carry out complex operations.
Here we take a closer look at three intriguing stocks using AI to forge new advances in treating and tackling disease. To pinpoint these three stocks, we used TipRanks’ data to scan for ‘Strong Buy’ stocks in the healthcare sector.