Medicine & TechnologyMass extinctions have many effects to animals and the ecosystem of the planet that are imprinted to fossilized remains. Click to find how the study of extinction events was made easier.
The pandemic has presented challenges and opportunities in learning, especially in medical tutoring. Here's how AI outperformed expert instructors of neurosurgical training.
AI development company Brain Technologies emerges from stealth with the announcement of its revolutionary app "Natural," and with it, secures $50M in funding.
Researchers at the University of Zurich are able to develop an AI-powered racing drone capable of moving fast and with great agility. The drone, with the help of it's flight planning algorithm, was able to beat the fastest lap world record of human pilots.
A team of researchers published a study on teaching the algorithm of a machine learning method about the physical world to accurately predict river temperature and streamflow.
A new algorithm could take mass spectrometry data from molecules and help predict the identity of unknown molecules and substances that arise from them
Frogmouth bird recently topped the overall rankings of the IAA, an algorithm that German scientists made to rank nearly 30,000 bird photos on Instagram.
The University of Bristol's QETLabs scientists recently developed machine learning algorithms that offer valuable understandings into the physics underlying quantum systems.
Researchers at Texas A&M University designed a reinforcement-based algorithm that accurately predicts the underground environment's properties to forecast oil and gas reserves correctly.
Twitter announced that it would investigate its neural network responsible for generating its photo review after users of the platform called out the apparent racial bias in its selection of pictures.
AI is changing at a fast rate, and it should be given some thought if all artificial intelligence develops, then what are the limits to be applied. This question is taken seriously, should AI learn to read human emotions better than ourselves.
The machine learning algorithm can validate pathologists’ diagnoses and shorten the time between imaging and diagnosis, and from a technical engineering perspective, might be able to offer a look into data science’s “black boxes” by giving clues into the thinking mechanism of the machine