Author: Rachit Ranjan

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Rachit Ranjan is a consulting intern at MarktechPost . He is currently pursuing his B.Tech from Indian Institute of Technology(IIT) Patna . He is actively shaping his career in the field of Artificial Intelligence and Data Science and is passionate and dedicated for exploring these fields.

6 Magic Commands for Jupyter Notebooks in Python Data Science

In the field of Python-based Data Science projects, the utilization of Jupyter Notebooks is ubiquitous. These interactive and user-friendly environments facilitate seamless integration of...

Microsoft Researchers Propose DeepSpeed-VisualChat: A Leap Forward in Scalable Multi-Modal Language Model Training

Large language models are sophisticated artificial intelligence systems created to understand and produce language similar to humans on a large scale. These models are...

Revolutionizing Wearable Tech: Edge Impulse’s Ultra-Efficient Heart Rate Algorithm & Expanding Healthcare Suite

Machine learning is used in almost every aspect of our lives and across various fields. It's a technology becoming increasingly prevalent and finding applications...

Apple and CMU Researchers Unveil the Never-ending UI Learner: Revolutionizing App Accessibility Through Continuous Machine Learning

Machine learning is becoming increasingly integrated across a wide range of fields. Its widespread use extends to all industries, including the world of user...

Google Researchers Introduce An Open-Source Library in JAX for Deep Learning on Spherical Surfaces

Deep learning, a machine learning subset, automatically learns complex representations from the input. Its applications are used in many fields, such as image and...

Oligo Sounds an Alarm: Critical Security Flaw in TorchServe Could Let Hackers Hijack Servers and Inject Malicious AI Models

Large language models and AI models are growing in popularity every day. Even preventing accidents, detecting cancer, and maintaining public safety, we must rely...

Stanford Researchers Propose MAPTree: A Bayesian Approach to Decision Tree Induction with Enhanced Robustness and Performance

Decision trees are a popular machine learning algorithm that can be used for both classification and regression tasks. They operate by recursively dividing the...

This AI Paper Reveals a New Approach to Understand Deep Learning Models: Unpacking the ‘Where’ and ‘What’ with Concept Relevance Propagation (CRP)

The field of Machine Learning and Artificial Intelligence has become very important. We have new advancements that have been there with each day. The...

Google AI and Cornell Researchers Introduce DynIBaR: A New AI Method that Generates Photorealistic Free-Viewpoint Renderings from a Single Video of a Complex and...

Over recent years, there has been remarkable progress in computer vision methodologies dedicated to reconstructing and illustrating static 3D scenes by leveraging neural radiance...

Enhancing Monocular 3D Object Detection: How Does the MonoXiver Approach Combine 2D-to-3D Information Flow and the Perceiver I/O Model for Precision?

The development of artificial intelligence has sparked extensive research across all disciplines. With each day that goes by, AI's influence grows. The field of...

This AI Research Proposes LayoutNUWA: An AI Model that Treats Layout Generation as a Code Generation Task to Enhance Semantic Information and Harnesses the...

With the growth of LLMs, there has been thorough research on all aspects of LLMs. So, there have been studies on graphic layout, too....

Do Machine Learning Models Produce Reliable Results with Limited Training Data? This New AI Research from Cambridge and Cornell University Finds it..

Deep learning has developed into a potent and ground-breaking technique in artificial intelligence, with applications ranging from speech recognition to autonomous systems to computer...