An automated machine-learning program developed by researchers ... bone density scans taken during routine clinical testing. The algorithm shortens the timeframe to screen for AAC significantly ...

Machine learning-capable security systems use algorithms that learn from data to detect and respond to security threats instead of relying solely on predefined rules like traditional security ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship ... outcome is often complex. This means that the health outcome is ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Researchers have successfully employed an algorithm ... a deep-learning-based method to detect these types of footprints of DNA-protein interactions. Using data from 170 human liver samples ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that ...

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...