Optical flow estimation, a cornerstone of computer vision, enables predicting per-pixel motion between consecutive images. This technology fuels advancements in numerous applications, from enhancing action recognition and video interpolation to improving autonomous...

In the rapidly advancing field of natural language processing (NLP), the advent of large language models (LLMs) has significantly transformed. These models have shown remarkable success in understanding and generating human-like text across various tasks without...

February 9, 2024: Google, led by CEO Sundar Pichai, is preparing for a future where traditional search engines may not be the primary way we find information. In his conversation with WIRED, Pichai shared insights on Google’s latest venture, Gemini, a powerful AI...

In an era where technology and artificial intelligence (AI) are reshaping our daily lives, it’s important to re-evaluate our relationship with digital tools, especially social media. AI and tech innovations have transformed the way we interact online, offering new...

With the world of computational science continually evolving, physics-informed neural networks (PINNs) stand out as a groundbreaking approach for tackling forward and inverse problems governed by partial differential equations (PDEs). These models incorporate physical...

Retrieval-augmented language models often retrieve only short chunks from a corpus, limiting overall document context. This decreases their ability to adapt to changes in the world state and incorporate long-tail knowledge. Existing retrieval-augmented approaches also...