AI holds vast potential for societal advancement, but it also carries significant risk. One of these is the rapidly growing field of deep fake creation, which uses AI technologies to fabricate highly realistic but false media. A new study from Google DeepMind and Jigsaw, a Google offshoot focused on addressing societal threats, has found that…
As a business grows, challenges around hiring, scaling, and compliance are common, necessitating an improvement in internal processes such as onboarding, customer service, and financial systems. To meet these needs and maintain operational agility, Abstra, an AI-driven startup has emerged as a comprehensive business process solution.
Unlike other process automation tools, Abstra's real edge lies in…
The use of pretrained language models and their creative applications have contributed to significant improvements in the quality of information retrieval (IR). However, there are questions about the necessity and efficiency of training these models on large datasets, especially for languages with scant labeled IR data or niche domains.
Researchers from the University of Waterloo,…
Replete AI has launched Replete-Coder-Qwen2-1.5b, an artificial intelligence (AI) model with extensive capabilities in coding and other areas. Developed using a mix of non-coding and coding data, the model is designed to perform diverse tasks, making it a versatile solution for a range of applications.
Replete-Coder-Qwen2-1.5b is part of the Replete-Coder series and has been…
Natural evolution has meticulously shaped proteins over more than three billion years. Modern-day research is closely studying these proteins to understand their structures and functions. Large language models are increasingly being employed to interpret the complexities of these protein structures. Such models demonstrate a solid capacity, even without specific training on biological functions, to naturally…
Scientists from Evolutionary Scale PBC, Arc Institute, and the University of California have developed an advanced generative language model for proteins known as ESM3. The protein language model is a sophisticated tool designed to understand and forecast proteins' sequence, structure, and function. It applies the masked language modeling approach to predict masked portions of protein…
Researchers have been focusing on an effective method to leverage in-context learning in transformer-based models like GPT-3+. Despite their success in enhancing AI performance, the method's functionality remains partially understood. In light of this, a team of researchers from the University of California, Los Angeles (UCLA) examined the factors affecting in-context learning. They found that…
Advanced language models such as GPT-3+ have shown significant improvements in performance by predicting the succeeding word in a sequence using more extensive datasets and larger model capacity. A key characteristic of these transformer-based models, aptly named as "in-context learning," allows the model to learn tasks through a series of examples without explicit training. However,…
Global climate models predict future weather conditions, but these models are limited in their ability to provide detailed forecasts for specific locations. Policymakers often need to supplement these coarse-scale models with high-resolution ones to predict local extreme weather events. However, the accuracy of these predictions heavily depends on the initial coarse model’s accuracy. Themistoklis Sapsis,…
To better predict the risks of extreme weather events due to climate change, scientists at MIT have developed a method that refines the predictions from large, coarse climate models. The key to this approach is leveraging machine learning and dynamical systems theory to make the climate models' large-scale simulations more realistic. By correcting the climate…
The operation teams of capital markets face many hurdles in post-trade lifecycle, such as errors in booking, delays in trade settlements and inaccurate regulatory reports. Artificial intelligence and machine learning (AI/ML) technologies like Intelligent Document Processing (IDP), which automate data extraction from documents, can be of great assistance in overcoming these obstacles. This offers potential…