Author: Mohammad Arshad

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Arshad is an intern at MarktechPost. He is currently pursuing his Int. MSc Physics from the Indian Institute of Technology Kharagpur. Understanding things to the fundamental level leads to new discoveries which lead to advancement in technology. He is passionate about understanding the nature fundamentally with the help of tools like mathematical models, ML models and AI.

This AI Paper from China Proposes a TAsk Planing Agent (TaPA) in Embodied Tasks for Grounded Planning with Physical Scene Constraint

How do we make decisions in daily life? We often are biased based on our common sense. What about robots? Can they make decisions...

Researchers from Alibaba Propose INSTAG: An Open-Set Fine-Grained Tagger that Leverages the Instruction Following Ability of Modern Chatbots like ChatGPT

Have you ever considered how large language models like ChatGPT would obtain the instruction-following ability? Various foundation language models obtain it through supervised fine-tuning...

Meet Embroid: An AI Method for Stitching Together an LLM with Embedding Information from Multiple Smaller Models Allowing to Automatically Correct LLM Predictions without...

Imagine you programmed a language model (LM) to perform basic data analysis on the drug and medical histories. You would require labeled data for...

This AI Paper Proposes to Empower Pre-trained LLMs in Non-English Languages by Building Semantic Alignment Across Languages

Have you ever tried asking a question in a language other than English in ChatGPT? You might get a weird, unrelated answer to your...

IBM Researchers Introduce an Analog AI Chip for Deep Learning Inference: Showcasing Critical Building Blocks of a Scalable Mixed-Signal Architecture

The ongoing AI revolution, set to reshape lifestyles and workplaces, has seen deep neural networks (DNNs) play a pivotal role, notably with the emergence...

Meet Flows: A Revolutionary AI Framework for Modeling Complex AI-Human Interactions

Recent advancements in artificial intelligence have created multiple opportunities for structured reasoning as they can remarkably adapt to information within their context. This collaboration...

This AI Research Introduces LISA: Large Language Instructed Segmentation Assistant that Inherits the Language Generation Capabilities of the Multi-Modal Large Language Model (LLM)

Imagine you want to have coffee, and you instruct a robot to make it. Your instruction involves “ Make a cup of coffee “...

Meet CT2Hair: A Fully Automatic Framework for Creating High-Fidelity 3D Hair Models that are Suitable for Use in Downstream Graphics Applications

Who doesn't like gaming? The more natural and fashioned the characters in the game, the more we enjoy it. Is it possible to have...

Abacus AI Introduces A New Open Long-Context Large Language Model LLM: Meet Giraffe

Recent language models can take long contexts as input; more is needed to know about how well they use longer contexts. Can LLMs be...

A New AI Research from CMU Proposes a Simple and Effective Attack Method that Causes Aligned Language Models to Generate Objectionable Behaviors

Large Language Models (LLM) like ChatGPT, Bard AI, and Llama-2 can generate undesirable and offensive content. Imagine someone asking ChatGPT for a guide to...

UC Berkeley Researchers Introduce Nerfstudio: A Python Framework for Neural Radiance Field (NeRF) Development

Who isn’t a fan of Iron Man? He looks really cool when he is working in his lab. All the holograms and new gadgets...

LG AI Research Proposes QASA: A Novel AI Benchmark Dataset And A Computational Approach

Humans are good at reasoning, and this differentiates us from other living beings. Reasoning involves associative thinking and logical reasoning. One trivial way of...