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Showing 1 to 20 of 91 for “"Foundation Models"”.
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Scalable foundation models
… opportunities for artificial intelligence (AI) models. However, without scalable AI solutions (e.g., training algorithms, model architectures), much of this additional compute and annotation may be underutilized or yield diminishing returns. Furthermore, as real-world applications demand …
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Speech Foundation Models for Audio Processing
Foundation models are trained on massive amounts of data and can be adapted to support a wide range of downstream tasks. Their emergence has significantly shaped the development of natural language and speech technologies. Foundation speech models such as Whisper have shown strong performance …
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Grounded Language Learning with Foundation Models
… recent years, especially with the development of foundation models trained using language modelling objectives. These models have achieved a level of proficiency comparable to human competence across an array of applications. Through unsupervised pretraining on web data, foundation models gain a …
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Foundation Models for Protein Phenotype Prediction
… states, and perturbations. We present ProCyon, a foundation model for modeling, generating, and predicting protein phenotypes across five interrelated knowledge domains: molecular functions, therapeutic mechanisms, disease associations, functional protein domains, and molecular interactions. To …
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Composing Foundation Models for Decision Making
… in conditional generative modeling have enabled models like DALLE and GPT-4 to generate high-resolution images and coherent text from brief prompts. However, developing a foundation model for decision-making is hindered by the scarcity and expense of collecting paired visual, language, and action …
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Language-Guided Video Understanding with Foundation Models
… and decisions must be made online. Recent foundation models provide a new opportunity to rethink video understanding as a language-guided inference problem. Leveraging this shift, this thesis investigates how Vision-Language Models (VLMs) and Large Language Models (LLMs) can be used to …
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Enhancing RNA Foundation Models via Secondary Structure Modelling
Genomic Foundation Models (GFMs) are reshaping our understanding of the code of life, yet their application to Ribonucleic Acid (RNA) is uniquely challenged by its functional dependence on complex structure. Modelling this intricate sequence-structure-function relationship represents a vital …
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Towards Machine Learning Foundation Models for Materials Chemistry
… to measure and compare the utility of different models, what range of applications a foundational ML force field can be expected to cover, what remaining shortcomings current ML potentials exhibit and how they can be overcome. Specifically, we present Matbench Discovery, an evaluation framework …
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Natural Language Foundation Models in Medical Artificial Intelligence
… of deep learning, particularly large language models (LLMs), has inspired experts across diverse fields, including healthcare, to think deeply about how artificial intelligence (AI) can revolutionize their fields. In this time, general foundation models, rather than narrow and highly …
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Towards micro foundation models for robust multimodal IoT sensing
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Data-Driven General Purpose Foundation Models for Computational Pathology
… and more. However, traditional task-specific models often require extensive labeled data and struggle to generalize across diverse pathology tasks. This limitation motivates the exploration of foundation models, which promise a more scalable, versatile solution by learning broad …
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Automating the Search for Artificial Life with Foundation Models
… for radical advances in protein discovery, foundation models (FMs) for exploring large combinatorial spaces promise to revolutionize many scientific fields. Artificial Life (ALife) has not yet integrated FMs, thus presenting a major opportunity for the field to alleviate the historical …
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Analysing and Mitigating Classification Bias for Text-based Foundation Models
… the introduction of pre-trained large language models (LLMs), models trained on vast quantities of digital textual data, enabling unprecedented capabilities across a diverse range of natural language understanding and generation tasks. These NLP foundation models are typically leveraged within …
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Enhancing Autonomous Robots in the AEC Industry using Foundation Models
… while still using lightweight, cost-effective models. The second study connects autonomous navigation to safety reporting. As the robot moves, an AI system describes the scene, links those descriptions to established safety rules, decides whether a situation is safe or unsafe, and then writes a …
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Towards Network-Guided Large-Scale Foundation Models on Single-Cell Transcriptomics
Large-scale pretrained models known as foundation models, have made breakthrough progress in the fields like NLP and computer vision. Recently, transformer-based foundation models tailored for single-cell RNA sequencing (scRNA-seq) data have shown significant potential in interpreting the …
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Optimizing Multi-Dimensional Efficiency of Foundation Models: From Fine-Tuning to Inference
With the rapid advancement of foundation AI models and the widespread adoption of AI applications, the operational energy demand and environmental impacts of AI, have become increasingly significant. Evaluating AI systems should extend beyond accuracy and wall-clock performance to treat …
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Resource-Efficient Collaborative Training and Inference of Foundation Models in Edge-AI
… of Edge Artificial Intelligence (Edge-AI) and foundation models marks a transformative paradigm shift in the design of intelligent systems. Edge-AI enables computation to be performed closer to data sources and across distributed network edges, offering significant benefits in latency …
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Uni4D: Unifying visual foundation models for 4D modeling from a single video
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Exploring the Role of Foundation Models for Training Generalist Robot Learning Policies
… robot learning policies using large-scale foundation models. The first approach aims to use a video foundation model to generate task-conditioned synthetic demonstrations at scale from a single expert demonstration. The objective is to leverage these synthetic demonstrations as proxy for …
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