Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.
A team of researchers from University of Liverpool, Huawei Noah’s Ark Lab, University of Oxford and University College London presents a report explaining Deep...
Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The...
Bridging the Gap Between Artistic Intent and Technical Execution
Photo retouching is a core aspect of digital photography, enabling users to manipulate image elements such...
Handling questions that involve both natural language and structured tables has become an essential task in building more intelligent and useful AI systems. These...
Amazon has unveiled Kiro, a groundbreaking agentic Integrated Development Environment (IDE) designed to change the way developers build, ship, and maintain software. Positioned well...
Large multimodal models (LMMs) enable systems to interpret images, answer visual questions, and retrieve factual information by combining multiple modalities. Their development has significantly...
Understanding the Link Between Body Movement and Visual Perception
The study of human visual perception through egocentric views is crucial in developing intelligent systems capable...
Phi-4-mini-Flash-Reasoning, the latest addition to Microsoft’s Phi-4 model family, is an open, lightweight language model designed to excel at long-context reasoning while maintaining high...
In this tutorial, we delve into Modin, a powerful drop-in replacement for Pandas that leverages parallel computing to speed up data workflows significantly. By...
As the development of large-scale AI systems accelerates, concerns about safety, oversight, and risk management are becoming increasingly critical. In response, Anthropic has introduced...
Optimizing LLMs for Human Alignment Using Reinforcement Learning
Large language models often require a further alignment phase to optimize them for human use. In...
Understanding the Role of Chain-of-Thought in LLMs
Large language models are increasingly being used to solve complex tasks such as mathematics and scientific reasoning...
