Google has unveiled PaliGemma, a latest family of vision language models. These innovative models work by receiving both an image and text inputs, and generating text as output. The architecture of PaliGemma comprises of two components: an image encoder named SigLIP-So400m, and a text decoder dubbed Gemma-2B. SigLIP, which has the ability to understand both…
Google's latest innovation, a new family of vision language models called PaliGemma, is capable of producing text by receiving an image and a text input. Its architecture comprises the text decoder Gemma-2B and the image encoder SigLIP-So400m, which is also a model capable of understanding both text and visuals. On image-text data, the combined PaliGemma…
Hector (Haofeng) Xu, after years of studying aviation and aerospace engineering, elected to develop a safer form of helicopter flight following several nerve-wracking experiences in the air. In 2021, he formed Rotor Technologies, Inc., an autonomous helicopter firm dedicated to making the routine missions of small aircraft safer through advanced technology. The company retrofits existing…
Researchers from MIT and other institutions have found a solution to an issue that causes machine-learning model-run chatbots to malfunction during long, continuous dialogues. They found that significant delays or crashes happen when the key-value cache, essentially the conversation memory, becomes overloaded leading to early data being ejected and the model to fail. The researchers…
The rapid growth of artificial intelligence into various industries has led to several developments, including the field of arts. One of the key advancements is the Midjourney AI, a tool launched in July 2022 by the San Francisco-based independent research lab Midjourney Inc. The company, founded by David Holz, the CTO of Leap Motion, has…
Artificial Intelligence (AI) relies on broad data sets sourced from numerous global internet resources to power algorithms that shape various aspects of our lives. However, there are challenges in maintaining data integrity and ethical standards, as the data often lacks proper documentation and vetting. The core issue is the absence of robust systems to guarantee…
Large models pre-training on time series data is a frequent challenge due to the absence of a comprehensive public time series repository, diverse time series characteristics, and emerging benchmarks for model testing. Despite this, time series analysis remains integral in various fields, including weather forecasting, heart rate irregularity detection, and anomaly identification in software deployments.…
Salesforce AI Research has made a significant development with the unveiling of the XGen-MM series. As part of their ongoing XGen initiative, this new development represents a significant step forward in the field of large foundation models. This advancement lays emphasis on the pursuit of advanced multimodal technologies, with XGen-MM integrating key improvements to redefine…