​ Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks. However, it can take… Read More »Apple Researchers Unveil DeepPCR: A Novel Machine Learning Algorithm that Parallelizes Typically Sequential Operations in Order to Speed Up Inference and Training of Neural Networks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ CNNs (Convolutional neural networks) have become a popular technique for image recognition in recent years. They have been highly successful in object detection, classification, and segmentation tasks. However, new challenges have emerged as these networks have grown more complex. Researchers from Tencent AI Lab… Read More »This AI Paper from China Introduces UniRepLKNet: Pioneering Large-Kernel ConvNet Architectures for Enhanced Cross-Modal Performance in Image, Audio, and Time-Series Data Analysis Adnan Hassan Artificial Intelligence Category – MarkTechPost

​Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, Google DeepMind, and Bryan Perozzi, Senior Staff Research Scientist, Google Research With the recent and accelerated advances in machine learning (ML), machines can understand natural language, engage in conversations, draw images, create videos and more. Modern ML… Read More »Advancements in machine learning for machine learning Google AI Google AI Blog

​Posted by Kihyuk Sohn and Dilip Krishnan, Research Scientists, Google Research Text-to-image models trained on large volumes of image-text pairs have enabled the creation of rich and diverse images encompassing many genres and themes. Moreover, popular styles such as “anime” or “steampunk”, when added to… Read More »StyleDrop: Text-to-image generation in any style Google AI Google AI Blog

​ Due to climate change, extreme weather, particularly heavy precipitation events, is expected to become more frequent. Many natural disasters, such as floods or landslides, are directly caused by extreme precipitation. Models based on climate prediction are frequently used. The existing climate models must improve… Read More »Researchers from Karlsruhe Institute of Technology (KIT) Advance Precipitation Mapping with Deep Learning for Improved Spatial and Temporal Resolution Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Programming can be complex, and writing code without errors is sometimes possible. Large language models of code (Code-LLMs) have been developed to help with code completion, but they can sometimes overlook bugs in the code context. To address this issue, researchers from the University… Read More »This AI Paper Unveils Amazon’s Latest Machine Learning Insights on Buggy-Code in Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas, allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. Amazon DocumentDB is a fully managed native JSON… Read More »Use Amazon DocumentDB to build no-code machine learning solutions in Amazon SageMaker Canvas Adeleke Coker AWS Machine Learning Blog

​ Language model development has historically operated under the premise that the larger the model, the greater its performance capabilities. However, breaking away from this established belief, Microsoft Research’s Machine Learning Foundations team researchers introduced Phi-2, a groundbreaking language model with 2.7 billion parameters. This… Read More »Microsoft AI Team Introduces Phi-2: A 2.7B Parameter Small Language Model that Demonstrates Outstanding Reasoning and Language Understanding Capabilities Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Concerns have arisen regarding the potential for some sophisticated AI systems to engage in strategic deception. Researchers at Apollo Research, an organization dedicated to assessing the safety of AI systems, recently delved into this issue. Their study focused on large language models (LLMs), with… Read More »This AI Paper Explores Misaligned Behaviors in Large Language Models: GPT-4’s Deceptive Strategies in Simulated Stock Trading Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Researchers from Carnegie Mellon University and Google DeepMind have collaborated to develop RoboTool, a system leveraging Large Language Models (LLMs) to imbue robots with the ability to creatively use tools in tasks involving implicit physical constraints and long-term planning. The system comprises four key… Read More »CMU Researchers Unveil RoboTool: An AI System that Accepts Natural Language Instructions and Outputs Executable Code for Controlling Robots in both Simulated and Real-World Environments Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost