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.

A New Research Study from the University of Surrey Shows Artificial Intelligence Could Help Power Plants Capture Carbon Ising 36% Less Energy from the...

Artificial intelligence is widely useful in environment-related fields. Recently, there has been increasing research on using AI in carbon capture technology. Carbon capture technology...

Microsoft Researchers Developed MetaOpt: A Heuristic Analyzer Designed to Enable Operators to Examine, Explain, and Improve Heuristics’ Performance before Deploying

Heuristic algorithms are those algorithms that use practical and intuitive approaches to find solutions. They are very useful in making quick and effective decisions,...

Adept AI Introduces Fuyu-Heavy: A New Multimodal Model Designed Specifically for Digital Agents

With the growth of trending AI applications, Machine Learning ML models are being used for various purposes, leading to an increase in the advent...

Meet Orion-14B: A New Open-source Multilingual Large Language Model Trained on 2.5T Tokens Including Chinese, English, Japanese, and Korean

With the advancement of AI in recent times, large language models are being used in many fields. These models are trained on larger datasets...

This AI Paper from UCLA Revolutionizes Uncertainty Quantification in Deep Neural Networks Using Cycle Consistency

With the growth of Deep learning, it is used in many fields, including data mining and natural language processing. It is also widely used...

This AI Paper from Google Unveils the Intricacies of Self-Correction in Language Models: Exploring Logical Errors and the Efficacy of Backtracking

Large Language Models are being used in various fields. With the growth of AI, the use of LLMs has further increased. They are used...

Unlabel Releases Tower: A Multilingual 7B Parameter Large Language Model (LLM) Optimized for Translation-Related Tasks

With the growth of large language models, natural language processing has been revolutionized. Many LLMs, like GPT-3.5, LLaMA, and Mixtral, came up last year,...

Researchers from Tsinghua University and Harvard University introduces LangSplat: A 3D Gaussian Splatting-based AI Method for 3D Language Fields

In human-computer interaction, the need to create ways for users to communicate with 3D environments has become increasingly important. This field of open-ended language...

Valence Labs Introduces LOWE: An LLM-Orchestrated Workflow Engine for Executing Complex Drug Discovery Workflows Using Natural Language

Drug discovery is an essential process with applications across various scientific domains. However, Drug discovery is a very complex and time-consuming process. The traditional...

RUDN University Mathematicians Enhance 5G and 6G Networks with Advanced Machine Learning: Pioneering Traffic Forecasting for Smarter Radio Resource Management

The introduction of fifth-generation (5G) and sixth-generation (6G) networks has brought new possibilities. But, they need dynamic radio resource management (RRM). These networks are...

University of Oxford Researchers Utilize Physics-Aware Machine Learning to Tackle Major Quantum Device Challenge

Quantum devices are those based on the principles of quantum mechanics, and they perform tasks that are not feasible using classical methods. They are...

Researchers from the University of Massachusetts Amherst Introduce Baldur: An AI-Driven Machine-Checking Method for Verifying Software Code

Software has a very crucial role in our lives. They are used in almost all devices, ranging from phones to aircraft. But these software...

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