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…
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…
The UK government-backed AI Safety Institute has launched a new tool called Inspect, aimed at enhancing the safety and accountability of Artificial Intelligence (AI) technologies. The software library is a significant innovation in AI technology and is expected to increase the robustness of AI safety assessments globally and promote cooperation in AI R&D.
As anticipated…
In the rapidly evolving field of data science, a host of tools are available for analysts and researchers to interpret data and develop strong machine learning models. Out of these, some are well-known and widely used, whereas others might not be as popular. Detailed here are ten major Python packages that can considerably enhance your…
Aerial robotics is an evolving field with significant improvements, particularly with the autonomous operation of Micro Aerial Vehicles (MAVs) during the night. Despite advancements, night operations still pose a complex challenge due to the inherent limitations of operating in low-light conditions. The focus here is on the integration of advanced sensing technologies and vision-based algorithms…
In the fields of traffic management and urban planning, understanding the most efficient routes based on multiple variables has significant potential benefits. This approach assumes that when individuals are choosing a route, they're trying to minimize certain costs such as travel time, comfort, tolls, and distance. Understanding these costs can help improve traffic flow and…