Author: Rachit Ranjan

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.

This AI Research from MIT Demonstrates How Machine-Learning System Based on Light Could Yield More Powerful and Efficient Large Language Models

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Deep Neural Networks (DNNs) are like super brains for computers. They are good at figuring out tricky stuff from lots of information. They enable...

Hugging Face Introduces SafeCoder: A Code Assistant Solution Built for the Enterprise

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Code assistant solutions are tools or software applications that assist developers while writing and editing code. Code assistant solutions have gained widespread usage recently...

New AI Study Uses Minimal Data to Assess Battery Health and Charge Levels

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Lithium-ion batteries have achieved widespread utilization across the globe, energizing mobile devices,gasoline-powered cars, and a diverse range of applications. These batteries stand as the...

MIT Researchers Use Deep Learning and Physics to Fix Motion-Corrupted MRI Scans

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An MRI (magnetic resonance imaging) scan is a test that creates clear images of the structures inside your body using a large magnet, radio...

Researchers from MIT and Harvard have Produced a Hypothesis that may Explain How a Transformer Could be Built Using Biological Elements in the Brain

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Artificial neural networks, prevalent models in machine learning capable of being trained for various tasks, derive their name from their structural resemblance to the...

This AI Research from UCLA Indicates Large Language Models (such as GPT-3) have Acquired an Emergent Ability to Find Zero-Shot Solutions to a Broad...

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Analogical reasoning serves as the cornerstone of human intelligence and ingenuity. When faced with an unfamiliar challenge, individuals frequently devise viable solutions by methodically...

This AI Paper Suggests Quantum Machine Learning Models May Be Better Defended Against Adversarial Attacks Generated By Classical Computers

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Machine Learning (ML) has indeed been undergoing rapid expansion and integration across many fields, revolutionizing how we approach problems and enhancing our ability to...

Can Large-Scale Language Models Replace Humans in Text Evaluation Tasks? This AI Paper Proposes to Use LLM for Evaluating the Quality of Texts to...

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Human evaluation has been used to evaluate the performance of natural language processing models and algorithms for denoting text quality. Still, human evaluation is...

Google AI Introduces AdaTape: A New AI Approach with a Transformer-based Architecture that Allows for Dynamic Computation in Neural Networks through Adaptive Tape Tokens

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While humans possess the ability to adapt their thinking and responses based on varying situations or conditions, Neural Networks, though incredibly potent and intricately...

This AI Research Introduces a Deep Learning Model that can Steal Data by Listening to Keystrokes Recorded by a nearby Phone with 95% Accuracy

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As deep learning continues to advance and microphones become more ubiquitous, along with the growing popularity of online services through personal devices, the potential...

Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning

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Music caption generation involves music information retrieval by generating natural language descriptions of a given music track. The captions generated are textual descriptions of...

CMU Researchers Propose a Simple and Effective Attack Method that Causes Aligned Language Models to Generate Objectionable Behaviors at a High Success Rate

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Large language models (LLMs) are recent advances in deep learning models to work on human languages. These deep-learning trained models understand and generate text...
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