Computer vision is revolutionizing due to the development of foundation models in object recognition, image segmentation, and monocular depth estimation,…
Machine Learning
Intrusion detection systems (IDS) encounter significant challenges in detecting zero-day or unknown cyberattacks, which are not included in the training…
SLAM (Simultaneous Localization and Mapping) is one of the important techniques used in robotics and computer vision. It helps machines…
Seamless integration of customer experience, collaboration tools, and relevant data is the foundation for delivering knowledge-based productivity gains. In this…
Quantum and neuromorphic computing represent phenomenal computational paradigms that promise transformative technological advances. Quantum computing utilizes unique quantum phenomena like…
Spoken term detection (STD) is a critical area in speech processing, enabling the identification of specific phrases or terms in…
Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through…
Generative AI agents are designed to interact with their environment to achieve specific objectives, such as automating repetitive tasks and…
Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as…
The development of language modeling focuses on creating artificial intelligence systems that can process and generate text with human-like fluency.…
Generative AI continues to transform numerous industries and activities, with one such application being the enhancement of chess, a traditional…
Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast…
This paper was accepted at the Ninth Conference on Machine Translation (WMT24) at EMNLP 2024. The prosody of a spoken…
Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence.…
Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the…
Large Language Models (LLMs) have revolutionized the field of artificial intelligence, demonstrating remarkable capabilities in various tasks. However, to fully…
Red teaming plays a pivotal role in evaluating the risks associated with AI models and systems. It uncovers novel threats,…
Diffusion models have pulled ahead of others in text-to-image generation. With continuous research in this field over the past year,…
Function calling has emerged as a transformative capability in AI systems, enabling language models to interact with external tools through…
Real-world networks, such as those in biomedical and multi-omics datasets, often present complex structures characterized by multiple types of nodes…