Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

If you’ve used ChatGPT, Perplexity, or any modern AI-powered search engine recently, you've experienced vector search even if you didn’t realize it. Unlike traditional keyword-based search, vector ...

Abstract: The increasing number of breast cancer-related deaths annually underscores the pressing need for improved prediction and diagnostic techniques. Machine learning offers a promising avenue for ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

One of the key components of Microsoft’s Copilot Runtime edge AI development platform for Windows is a new vector search technology, DiskANN (Disk Accelerated Nearest Neighbors). Building on a ...

The detection of smoking behavior is an emerging field faced with challenges in identifying small, frequently occluded objects like cigarette butts using existing deep learning technologies. Such ...

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...