​ Large Language Models have been able to dive into almost every domain. From Natural Language Processing and Natural Language Understanding to Computer vision, these models have incredible capabilities to provide solutions in every field of Artificial Intelligence. Developments in Artificial Intelligent and Machine Learning… Read More »Meet ProtST: A Framework That Enhances Protein Sequence Pre-Training and Understanding By Biomedical Texts Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ To have a discovery via a Machine Learning algorithm, we need to have a large dataset of training data. There was a problem in predicting the molecular properties and generating new molecules. This can be solved via Machine Learning and Deep Learning approaches. But,… Read More »MIT Researchers Have Developed a Unified Framework that Uses Machine Learning to Simultaneously Predict Molecular Properties and Generate New Molecules Using Only a Small Amount of Data for Training Artificial Intelligence Category – MarkTechPost

​ Matching corresponding points between images is crucial to many computer vision applications, such as camera tracking and 3D mapping. The conventional approach involves using sparse interest points and high-dimensional representations to match them based on their visual appearance. However, accurately describing each issue becomes… Read More »Researchers From ETH Zurich and Microsoft Introduce LightGlue: A Deep Neural Network That Learns To Match Local Features Across Images Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Federated learning (FL) is a new machine learning (ML) environment in which a logically centralized coordinator orchestrates numerous dispersed clients (e.g., cellphones or laptops) to train or assess a model collectively. It enables model training and assessment of end-user data while avoiding significant costs… Read More »University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible FL Research on Privacy-Preserving Machine Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Stock market behavior forecasting is a crucial undertaking that requires careful attention since, with the right choices, a successful prediction of stock prices might result in attractive gains. Due to non-stationary, noisy, inter-dependence, and chaotic data, stock market forecasting is a significant challenge, making… Read More »Researchers at Stanford have developed an Artificial Intelligence (AI) model,’ StockBot’, which uses LSTMs to predict stock prices with gains higher than the most aggressive ETFs Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ The world of programming is evolving thanks to AI technologies. It is just a matter of time until artificial intelligence entirely replaces human programmers since AI-generated code is getting more accurate. Some could see this negatively, while others think AI will speed up the… Read More »Top Artificial Intelligence (AI) Tools That Can Generate Code To Help Programmers Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ Using a given training dataset as a guide, generative adversarial networks (GANs) have achieved excellent results when sampling new pictures that are “similar” to those in the training set. Notably, significant improvements in the quality and resolution of the produced pictures have been recorded… Read More »Apple AI Researchers Develop GMPIs (Generative Multiplane Images) For Making A 2D GAN 3D-Aware Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Deep Learning is everywhere. It has revolutionized lots of fields, and the trend seems to continue in the near future. Deep learning is a subfield of machine learning which enables computers to learn and make predictions from large amounts of data. Artificial neural networks… Read More »Do Modern Problems Require Modern Solutions? This Study Examines the Effectiveness of MLPs (Multi-Layer Perceptions) in Modern Settings Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​Posted by Amir Yazdanbakhsh, Research Scientist, and Vijay Janapa Reddi, Visiting Researcher, Google Research Computer Architecture research has a long history of developing simulators and tools to evaluate and shape the design of computer systems. For example, the SimpleScalar simulator was introduced in the late… Read More »An open-source gymnasium for machine learning assisted computer architecture design Google AI Google AI Blog

​ As more and more customers are looking to put machine learning (ML) workloads in production, there is a large push in organizations to shorten the development lifecycle of ML code. Many organizations prefer writing their ML code in a production-ready style in the form… Read More »Access private repos using the @remote decorator for Amazon SageMaker training workloads Vikesh Pandey AWS Machine Learning Blog