Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation.
Existing methods...
Amyotrophic lateral sclerosis (ALS), Alzheimer's disease, and Parkinson's disease are all examples of neurodegenerative disorders, which are complex and chronic illnesses. These disorders have...
Text analysis, including phrase completion, web translation, and text summaries produced by AI models, are becoming commonplace. But to adapt them to new tasks,...
In a recent research article by IBM, the research team raised concerns regarding how the machine learning and computer vision jobs be performed with...
Algorithmic bias is a well-known issue in which unjust human assumptions and judgments are frequently encoded into algorithms, resulting in unfair targeting of specific...
This Article is written as a summay by Marktechpost Staff based on the paper 'VALHALLA: Visual Hallucination for Machine Translation'. All Credit For This...
This Article Is Based On The Research Paper 'RISP: RENDERING-INVARIANT STATE PREDICTOR WITH DIFFERENTIABLE SIMULATION AND RENDERING FOR CROSS-DOMAIN PARAMETER ESTIMATION'. All Credit...
This research summary is based on the paper 'DATA-EFFICIENT GRAPH GRAMMAR LEARNING FOR MOLECULAR GENERATION'
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Chemical engineers and...
This research summary article is based on the paper. 'Phase-change memtransistive synapses for mixed-plasticity neural computations'
Human brains are exceptionally good at remembering and learning...
This research summary article is based on the research paper 'Progression of type 1 diabetes from latency to symptomatic disease is predicted by distinct...
A project supported by the STFC Hartree Centre Discovery Accelerator accurately predicts patient response to treatments for ulcerative colitis and Crohn's disease.
Artificial intelligence may...
Although lengthier texts contain a significant quantity of natural language in the wild, NLP benchmarks have always primarily focused on short texts, such as...
Artificial intelligence's increased use in sensitive sectors such as recruiting, criminal justice, and healthcare has sparked a debate regarding bias and fairness. However, human...
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