​ Some of the most promising medication candidates in current therapies have been antibodies. The incredible structural diversity of antibodies, which enables them to recognize an incredibly broad array of possible targets, is to thank for this therapeutic success. Their hypervariable sections, which are essential… Read More »MIT Researchers Propose AbMAP: A Protein Language Model (PLM) Customized For Antibodies Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ We are deluged with multiple forms of data. Be it data from a financial sector, healthcare, educational sector, or an organization. Privacy and security of that data is an important need and matter of concern for every organization because of the frequently occurring attacks.… Read More »Meet MACTA: An Open-Sourced Multi-Agent Reinforcement Learning Approach for Cache Timing Attacks and Detection Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Fashion photography is ubiquitous on online platforms, including social media and e-commerce websites. However, as static images, they can be limited in their ability to provide comprehensive information about a garment, particularly concerning how it fits and moves on a person’s body.  In contrast,… Read More »Transform Fashion Images Into Stunning Photorealistic Videos with the AI Framework “DreamPose” Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ In recent years, transformer-based large language models (LLMs) have become very popular because of their ability to capture and store factual knowledge. However, how these models extract factual associations during inference remains relatively underexplored. A recent study by researchers from Google DeepMind, Tel Aviv… Read More »How Transformer-Based LLMs Extract Knowledge From Their Parameters Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Machine learning vs neural networks are two concepts that are often used interchangeably. While both deal with the processing and analysis of data, they have different approaches and applications. In this article, we will explore the differences between machine learning and neural networks. 1.… Read More »Machine Learning vs Neural Networks Explained Narender Kumar Spark By {Examples}

​ What are the applications of Deep Learning? In recent years, deep learning has revolutionized the field of artificial intelligence (AI) by providing the ability to process large amounts of complex data and solve problems in a way that mimics the human brain. Deep learning… Read More »Applications of Deep Learning Narender Kumar Spark By {Examples}

​ In Sparklyr, using the dplyr syntax or using the Spark SQL syntax we can perform joins. All dplyr join supports the R data frames as well as spark data frames. In this article, you will see different types of sparklyr joins with examples. Joins… Read More »Sparklyr join explained with examples kathiriya1111 Spark By {Examples}