​ Superconductors, defying the electrical resistance, exhibit zeo resistance when cooled below a critical temperature. This fantastic property of superconductors opens the door to numerous real-world applications in energy, transportation, and cutting-edge electronics. Over the last decade, significant progress has been made in the search… Read More »This AI Paper from Georgia Tech Proposes an Artificial Intelligence Method to Help Identify New Candidates for Potential Superconductors in Faster and Reliable Way Astha Kumari Artificial Intelligence Category – MarkTechPost

​ There has been continuous growth in the OpenAI domain over the past few years ago. Researchers from many universities build open-source projects which contribute to the development of the Data Science domain. One of the open-source projects built by Stan Girar is Quivr. It… Read More »Meet Quivr: An Open-Source Project Designed to Store and Retrieve Unstructured Information like a Second Brain Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

​ This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. You’re likely familiar with the autocomplete suggestion feature when you search for something on Google or Amazon. Although the search terms in these scenarios are… Read More »How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost Hao Huang AWS Machine Learning Blog

​ Large Language Models (LLMs) have successfully proven to be the best innovation in the field of Artificial Intelligence. From BERT, PaLM, and GPT to LLaMa DALL-E, these models have shown incredible performance in understanding and generating language for the purpose of imitating humans. These… Read More »Is ChatGPT’s Behavior Changing over Time? Researchers Evaluate the March 2023 and June 2023 Versions of GPT-3.5 and GPT-4 on Four Diverse Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ When deploying Deep Learning models at scale, it is crucial to effectively utilize the underlying hardware to maximize performance and cost benefits. For production workloads requiring high throughput and low latency, the selection of the Amazon Elastic Compute Cloud (EC2) instance, model serving stack,… Read More »Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances Ankur Srivastava AWS Machine Learning Blog

​ Object detection and image segmentation are crucial tasks in computer vision and artificial intelligence. They are critical in numerous applications, such as autonomous vehicles, medical imaging, and security systems. Object detection involves detecting instances of objects within an image or a video stream. It… Read More »Meet CutLER (Cut-and-LEaRn): A Simple AI Approach For Training Object Detection And Instance Segmentation Models Without Human Annotations Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Generative AI models are now a part of our daily lives. They have advanced rapidly in recent years, and the results went from a funky image to a highly photorealistic one relatively fast. With all these models like MidJourney, StableDiffusion, and DALL-E, generating the… Read More »The Sculpture of Dreams: DreamTime is An AI Model That Improves the Optimization Strategy for Text-to-3D Content Generation Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Python provides various ways to get the index of the specified key of the dictionary. In dictionaries, elements are presented in the form of key:value pairs and all keys are associated with their corresponding values. Dictionaries are unordered and mutable You can access, remove, and add… Read More »Get the Index of Key in Python Dictionary Vijetha Spark By {Examples}

​ You can iterate a Python dictionary using the enumerate() function. which is used to iterate over an iterable object or sequence such as a list, tuple, string, set, or dictionary and return a tuple containing each element present in the sequence and their corresponding index. In… Read More »Iterate Python Dictionary using enumerate() Function Vijetha Spark By {Examples}

​ Researchers from the French CNRS have come up with a Noise-Adaptive Intelligent Programmable Meta-Imager. Sensing systems are increasingly used in many aspects of our lives, including touchless human-computer interfaces, driverless vehicles, and ambiently supported health care. These systems, however, frequently lack intelligence since they… Read More »AI Research At The French CNRS Proposes A Noise-Adaptive Intelligent Programmable Meta-Imager: A Timely Approach To Task-Specific, Noise-Adaptive Sensing Shobha Kakkar Artificial Intelligence Category – MarkTechPost