Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

Deep learning is a form of machine learning in which the model being trained has more than one hidden layer between the input and the output. In most discussions, deep learning means using deep ...

Pinecone Systems Inc. is emerging from stealth mode today armed with $10 million in seed funding and a serverless vector database that it says can make machine learning queries much faster and ...

Machine learning is a way of helping computers understand the meaning of what we say or type. And vector search is a way for those computers to search through everything they know, based on ...

In this video from ISC 2018, Takeo Hosomi from NEC describes how vector computing can accelerate Machine Learning workloads. "Machine learning is the key technology for data analytics and artificial ...

Today NEC Corporation announced that it has developed Aurora Vector Engine data processing technology that accelerates the execution of machine learning on vector computers by more than 50 times in ...

Machine learning ain't all input/output There's a paper in the journal PLoS Computational Biology that is incredibly significant to folks thinking through the intersection of human-computer ...

In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one ...

Machine Learning for Characterization of Insect Vector Feeding. PLOS Computational Biology , 2016; 12 (11): e1005158 DOI: 10.1371/journal.pcbi.1005158 Cite This Page : ...

And we have not even touched upon Level 2 -- machine learning systems that incorporate new data and update in real-time. However, to come full circle, if Huyen's experience is anything to go by ...