Sam Altman returns as CEO, OpenAI has a new initial board

Powered by superai.com In the News AI : the Biggest Tech Investing Theme for 2024 It may have been a breakout year for generative AI in 2023. But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts. investopedia.com Sponsor Where…

Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This process allows these models to achieve state-of-the-art image quality, making them one of the most significant developments in Machine Learning (ML) in the past few…

Vision-language models (VLMs) are increasingly prevalent, offering substantial advancements in AI-driven tasks. However, one of the most significant limitations of these advanced models, including prominent ones like GPT-4V, is their constrained spatial reasoning capabilities. Spatial reasoning involves understanding objects’ positions in three-dimensional space and their spatial relationships with one another. This limitation is particularly pronounced…

Manifold learning, rooted in the manifold assumption, reveals low-dimensional structures within input data, positing that the data exists on a low-dimensional manifold within a high-dimensional ambient space. Deep Manifold Learning (DML), facilitated by deep neural networks, extends to graph data applications. For instance, MGAE leverages auto-encoders in the graph domain to embed node features and…

We’re launching $10M in grants to support technical research towards the alignment and safety of superhuman AI systems, including weak-to-strong generalization, interpretability, scalable oversight, and more.

In sequence processing, one of the biggest challenges lies in optimizing attention mechanisms for computational efficiency. Linear attention has proven to be an efficient attention mechanism with its ability to process tokens in linear computational complexities. It has recently emerged as a promising alternative to conventional softmax attention. This theoretical advantage allows it to handle…