​ Drug discovery is an essential process with applications across various scientific domains. However, Drug discovery is a very complex and time-consuming process. The traditional drug discovery approaches require extensive collaboration among teams spanning many years. Also, it involved scientists from various scientific fields working… Read More »Valence Labs Introduces LOWE: An LLM-Orchestrated Workflow Engine for Executing Complex Drug Discovery Workflows Using Natural Language Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ In sequence processing, one of the biggest challenges lies in optimizing attention mechanisms for computational efficiency. Linear attention has proven to be an efficient attention mechanism with its ability to process tokens in linear computational complexities. It has recently emerged as a promising alternative… Read More »Meet Lightning Attention-2: The Groundbreaking Linear Attention Mechanism for Constant Speed and Fixed Memory Use Nikhil Artificial Intelligence Category – MarkTechPost

​ LLMs have been at the forefront of recent technological advances, demonstrating remarkable capabilities in various domains. However, enhancing these models’ reflective thinking and self-correction abilities is a significant challenge in AI development. Earlier methods, relying heavily on external feedback, often fail to enable LLMs… Read More »Enhancing Large Language Models’ Reflection: Tackling Overconfidence and Randomness with Self-Contrast for Improved Stability and Accuracy Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) face a hurdle in handling long contexts due to their constrained window length. Although the context window length can be extended through fine-tuning, this incurs significant training and inference time costs, adversely affecting the LLM’s core capabilities. Current LLMs, such… Read More »This AI Paper from China Unveils ‘Activation Beacon’: A Groundbreaking AI Technique to Expand Context Understanding in Large Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​ LLMs are trained on vast amounts of web data, which can lead to unintentional memorization and reproduction of sensitive or private information. This raises significant legal and ethical concerns, especially regarding violating individual privacy by disclosing personal details. To address these concerns, the concept… Read More »CMU AI Researchers Unveil TOFU: A Groundbreaking Machine Learning Benchmark for Data Unlearning in Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ There has been a notable discrepancy between the global distribution of language speakers and the predominant language of online material, which is English. Even while English is used in up to 60% of internet information, only 18.8% of people worldwide speak it, and just… Read More »A New AI Paper from UC Berkeley Introduces Anim-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video in Japanese and English Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on… Read More »This AI Paper from Apple Unveils AlignInstruct: Pioneering Solutions for Unseen Languages and Low-Resource Challenges in Machine Translation Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ The growing urgency for innovative drugs in various medical fields, such as antibiotics, cancer treatments, autoimmune disorders, and antiviral therapies, underscores the need for increased research and development efforts. Drug discovery, a complex process involving exploring a vast chemical space, can benefit from computational… Read More »Meet MedGAN: A Deep Learning Model based on Wasserstein Generative Adversarial Networks and Graph Convolutional Networks for Novel Molecule Design Sana Hassan Artificial Intelligence Category – MarkTechPost