Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Breakthroughs achieved by deep learning, such as AlphaFold2, have moved the ...

In today’s fast-paced business world, a strong brand name is more crucial than ever. It’s the first impression you make on potential customers, and it can significantly impact your business’s success.

Generative diffusion models have revolutionized image and video generation, becoming the foundation of state-of-the-art generation software. While these models excel at handling complex ...

In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time. This data is critical in monitoring disease progression, ...

Designing autonomous agents that can navigate complex web environments raises many challenges, in particular when such agents incorporate both textual and visual information. More classically, agents ...

Large Language Models (LLMs) have emerged as powerful tools in natural language processing, yet understanding their internal representations remains a significant challenge. Recent breakthroughs using ...

Escalation in AI implies an increased infrastructure expenditure. The massive and multidisciplinary research exerts economic pressure on institutions as high-performance computing (HPC) costs an arm ...

The Evidence Lower Bound (ELBO) is a key objective for training generative models like Variational Autoencoders (VAEs). It parallels neuroscience, aligning with the Free Energy Principle (FEP) for ...

A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...

In recent years, multimodal large language models (MLLMs) have revolutionized vision-language tasks, enhancing capabilities such as image captioning and object detection. However, when dealing with ...

In recent times, large language models (LLMs) built on the Transformer architecture have shown remarkable abilities across a wide range of tasks. However, these impressive capabilities usually come ...

Tactile sensing plays a crucial role in robotics, helping machines understand and interact with their environment effectively. However, the current state of vision-based tactile sensors poses ...