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.

Researchers from Eindhoven and Northwestern University have Developed a New Neuromorphic Biosensor Capable of On-Chip Learning that doesn’t need External Training

AI Shorts
Neuromorphic computing is inspired by the human brain's structure and function. A neuromorphic chip is a device that uses physical artificial neurons to do...

Meet vLLM: An Open-Source Machine Learning Library for Fast LLM Inference and Serving

AI Shorts
Large language models (LLMs) have an ever-greater impact on how daily lives and careers are changing because they make possible new applications like programming...

Unlocking Efficiency in Vision Transformers: How Sparse Mobile Vision MoEs Outperform Dense Counterparts on Resource-Constrained Applications

AI Shorts
A neural network architecture called a Mixture-of-Experts (MoE) combines the predictions of various expert neural networks. MoE models deal with complicated jobs where several...

Stability AI Releases First Japanese Vision-Language Model

AI Shorts
The creation and formulation of a single, all-encompassing model capable of handling a variety of user-defined tasks has long been a field of interest...

Google AI Introduces a New TensorFlow Simulation Framework that Enables the Computation of Fluid Flows with TPUs

AI Shorts
In fluid mechanics, known as computational fluid dynamics (CFD), problems involving fluid flow and heat transfer behavior are examined and solved using numerical techniques...

MIT Researchers Propose AskIt: A Domain-Specific Language for Streamlining Large Language Model Integration in Software Development

AI Shorts
Recent research has brought to light the extraordinary capabilities of Large Language Models (LLMs), which become even more impressive as the models grow. They...

UCLA Researchers Introduce a Multispectral QPI System Designed Based on a Broadband Diffractive Optical Neural Network

AI Shorts
Quantitative Phase Imaging (QPI) is a cutting-edge imaging method in many scientific and microscopy domains. It makes it possible to quantify and see the...

How Can Automated Retail Checkouts Recognize Unlabeled Produce? Meet the PseudoAugment Computer Vision Approach

AI Shorts
With the advancements in machine learning and deep learning techniques, there has also been an increase in automation of various dimensions. Automation is progressively...

Unlocking the Power of Diversity in Neural Networks: How Adaptive Neurons Outperform Homogeneity in Image Classification and Nonlinear Regression

AI Shorts
A neural network is a method in artificial intelligence that teaches computers to process data in a way inspired by the human brain. It...

NYU Researchers Developed a New Artificial Intelligence Technique to Change a Person’s Apparent Age in Images while Maintaining their Unique Identifying Features

AI Shorts
AI systems are increasingly being employed to accurately estimate and modify the ages of individuals using image analysis. Building models that are robust to...

Google DeepMind Researchers Uncover the Power of AI Diversity in Tackling Chess Challenges: Introducing AZ_db, the Next Leap in Computational Problem-Solving

AI Shorts
Artificial Intelligence has extended its realms to almost all fields, and we find its applications in nearly all spheres of life. In several computational...

Where Rocks and AI Collide: The Intersection of Mineralogy and Zero-Shot Computer Vision

AI Shorts
Minerals are naturally occurring, inorganic substances with a defined chemical composition and crystalline structure. They are the building blocks of rocks and play a...
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