Lifeboat Foundation

Generative AI is quickly transforming the way we do things in almost every facet of life, including the evolving landscape of data management and cybersecurity. Cohesity, a company focused on AI-powered data management and security, launched Cohesity Gaia to apply generative AI in a unique way designed to enable customers to access, analyze, and interact with their data.

Cohesity Gaia is a generative AI-powered conversational search assistant. Cohesity blends Large Language Models with an enterprise’s own data and provides organizations with a tool to interact with and extract value from their information repositories. The platform is designed to enable natural language interactions, making it easier for users to query their data without needing to navigate complex databases or understand specialized query languages.

At its heart, Cohesity Gaia leverages generative AI to facilitate conversational interactions with data. Instead of searching through files or databases in the traditional manner, users can engage in a dialogue with the data, asking questions and receiving contextually relevant, accurate answers.

Researchers in China create a cloak that maintains invisibility in dynamic conditions by neutralizing outside inputs, the ‘guardian of drone’

A team of researchers at Cornell University has created a semiconductor chip that will allow ever-tinier devices to function at the higher frequencies required for the next generation of 6G communication technology.

In addition to requiring more bandwidth at higher frequencies, the next generation of wireless communication also demands more time. According to researchers, the new semiconductor provides the appropriate time delay to prevent signals from dissolving at a single point in space after being relayed over numerous arrays.

Researchers discovered novel features of graphene-like materials known as rhenium diselenide and rhenium disulfide.

Google presents AtP

An efficient and scalable method for localizing LLM behaviour to components.

Activation Patching is a method of directly computing causal attributions of behavior to model components.

Continue reading “Paper page — AtP*: An efficient and scalable method for localizing LLM behaviour to components” »

Meta presents Learning and Leveraging World Models in Visual Representation Learning.

Joint-Embedding Predictive Architecture (JEPA) has emerged as a promising self-supervised approach that learns by leveraging a world model.

Today Stability AI is releasing TripoSR in collaboration with TripoSR is a new image-to-3D model capable of creating high quality outputs in less than a second.

Introducing TripoSR: Fast 3D Object Generation from Single Images.

Robert Oppenheimer’s isn’t the only film-worthy story from the nuclear age. Kurt Gödel’s cameo as a secret agent was surprising — and itself a bomb.

Multimodal #AI for better prevention and treatment of cardiometabolic diseases.

The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources existing in medicine today.