Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. With DrawBench, we compare Imagen with recent methods includ...
This research explores survey of human-in-the-loop for machine learning, contributing new insights to the field of Artificial Intelligence.
This research explores Accessing the robustness of adventitious carbon for charge r..., contributing new insights to the field of Artificial Intelligence.
The next chapter of the robotics revolution is well underway with the deployment of robots for a broad range of commercial use cases. In this Review, we highlight the philosophical and architectural c...
As artificial intelligence (AI) became a part of daily life, it has become important to determine user competence in using AI technology. Further, AI literacy is significantly related to digital liter...
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In view of the interplay between human relations and digita...
With the explosive growth of online information, recommender systems play a key role to alleviate such information overload. Additionally, we state new perspectives pertaining to the development of th...
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. The second edition features new chapters on reinforcement learning and physics-informed machine learning, s...
This work presents Neural Equivariant Interatomic Potentials (NequIP), an E(3)-equivariant neural network approach for learning interatomic potentials from ab-initio calculations for molecular dynamic...
With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis. Papers on XAI techni...
In 1925, 5-methylcytosine was first reported in bacteria. Despite this, several fundamental details about the precise role and interpretation of DNA methylation patterns remain under investigation.
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. For tasks lying anywhere on this sp...
SynergyFinder (https://synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Based on user requests, several additional i...
During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. The benchmark datasets and the principal 1D...
Inferring single-cell compositions and their contributions to global gene expression changes from bulk RNA sequencing (RNA-seq) datasets is a major challenge in oncology. Finally, we identify genes wh...
Transformer model architectures have garnered immense interest lately due to their effectiveness across a range of domains like language, vision, and reinforcement learning. Recently, a dizzying numbe...
BACKGROUND: The second consensus criteria for the diagnosis of multiple system atrophy (MSA) are widely recognized as the reference standard for clinical research, but lack sensitivity to diagnose the...
As AI-enhanced technologies become common in a variety of domains, there is an increasing need to define and examine the trust that users have in such technologies. Overall, the role of trust in the a...
Abstract Throughout the centuries, nature has been a source of inspiration, with much still to learn from and discover about. Some technical characteristics, including accuracy, evaluation environment...
The prediction of protein subcellular localization is of great relevance for proteomics research. We find that the attention output correlates well with the position of sorting signals.