Wearables have transformed human-technology interaction, facilitating continuous health monitoring. The wearables market is projected to surge from 70 billion USD in 2023 to 230 billion USD by 2032, with head-worn devices, including earphones and glasses, experiencing rapid growth (71 billion USD in 2023 to 172 billion USD by 2030). This growth is propelled by the…
In the dynamic realm of Artificial Intelligence, Natural Language Processing (NLP), and Information Retrieval, advanced architectures like Retrieval Augmented Generation (RAG) have gained a significant amount of attention. However, most data science researchers suggest not to leap into sophisticated RAG models until the evaluation pipeline is completely reliable and robust. Carefully assessing RAG pipelines is…
AI21 Labs has introduced the Jamba-Instruct model, which addresses the challenge of leveraging large context windows in natural language processing tasks for enterprise use. Traditional models often have limited context capabilities, which often impacts their effectiveness in tasks such as summarization and conversation continuation. AI21 Labs’ Jamba-Instruct aims to overcome these limitations by providing a…
The integration of data-intensive computational studies is vital across scientific disciplines. Computational workflows systematically outline methods, data, and computing resources. With complex simulation models and vast data volumes, Computational Sciences and Engineering (CSE) workflows facilitate research beyond simulations, enabling analysis of diverse data and methodologies. FAIR principles ensure research data are Findable, Accessible, Interoperable, and…
The use of artificial intelligence (AI) to power presentation generators has changed presentation creation and delivery in the modern digital era. These technologies use AI to make creating easier, visually appealing, and engaging for the audience. If you want to take your next presentation to the next level, this article will review the fourteen best…
The rapid advancement of Large Language Models (LLMs) has sparked interest among researchers in academia and industry alike. Both the Natural Language Processing (NLP) and database communities are exploring the potential of LLMs in tackling the Natural Language to SQL NL2SQL task, which involves converting natural language queries into executable SQL statements consistent with user…
The ability of systems to adapt over time without losing previous knowledge, known as continual learning (CL), poses a significant challenge. While adept at processing large amounts of data, neural networks often suffer from catastrophic forgetting, where acquiring new information can erase what was learned previously. This phenomenon is particularly problematic in environments with restricted…
The rise of quantum computing has opened the doors to transformative innovations that transcend the limits of classical computing. The quantum processing unit (QPU) represents a paradigm shift in computational science, akin to how the GPU revolutionized the world of computing in the 2000s. Let’s delve into how QPUs are poised to complement and potentially…
Imagine you’re trying to help a friend find their favorite movie to watch, but they’re not quite sure what they’re in the mood for. You could list random movie titles and see if any pique their interest, but that’s pretty inefficient, right? The researchers behind this work had a similar problem – they wanted to…
The burgeoning expansion of the data landscape, propelled by the Internet of Things (IoT), presents a pressing challenge: ensuring data quality amidst the deluge of information. With IoT devices increasingly interconnected and data acquisition costs declining, enterprises are capitalizing on this wealth of data to inform strategic decisions. However, the quality of that data is…