According to DeepLearning.AI on Twitter, a new short course in collaboration with Qdrant introduces AI professionals to advanced multi-vector image retrieval techniques. Led by Senior Developer ...

Explore the significance of model quantization in AI, its methods, and impact on computational efficiency, as detailed by NVIDIA's expert insights. As artificial intelligence (AI) models grow in ...

The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware mismatch: a fundamental trade-off between the accuracy degradation ...

In recent decades, communication technology has advanced at unprecedented speed. A key breakthrough is semantic communications—a shift from transmitting raw data to conveying semantic meaning. For ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications SAN FRANCISCO--(BUSINESS ...

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications “We’re committed to giving ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced new performance and cost-efficiency breakthroughs with two significant enhancements to its vector search. Users ...

This project aims to integrate BBQ into the OpenSearch k-NN plugin to offer users a memory-efficient alternative, ideal for large-scale vector workloads in constrained compute environments. The ...

Drug Metabolism and Pharmacokinetics (DMPK), Boehringer Ingelheim Pharmaceuticals, Inc, 900 Ridgebury Rd, Ridgefield, Connecticut 06877, United States ...