Author: Khushboo Gupta

Khushboo Gupta is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Goa. She is passionate about the fields of Machine Learning, Natural Language Processing and Web Development. She enjoys learning more about the technical field by participating in several challenges.

A New Artificial Intelligence Research Proposes Multimodal Chain-of-Thought Reasoning in Language Models That Outperforms GPT-3.5 by 16% (75.17% → 91.68%) on ScienceQA

Due to recent technological developments, large language models (LLMs) have performed remarkably well on complex and sophisticated reasoning tasks. This is accomplished by generating...

Researchers at IBM Propose MoLFormer-XL: A Pretrained Artificial Intelligence AI Model That Infers The Structure of Molecules From Simple Representations

Recent technological developments have led to the widespread adoption of large pretrained models for performing several tasks. These models, which could previously summarise texts...

Salesforce AI Open Sources CausalAI Library for Causal Analysis of Time Series and Tabular Data

The process of causal analysis is used to determine and address the causes and effects of a problem. Instead of addressing the symptoms of...

Microsoft Research Proposes BioGPT: A Domain-Specific Generative Transformer Language Model Pre-Trained on Large-Scale Biomedical Literature

With recent technological breakthroughs, researchers have started employing several machine learning techniques on the abundance of biomedical data that is available. Using techniques like...

Researchers From Microsoft and UCLA Introduce ClimaX: A Flexible And Generalizable Deep Learning Model For Weather And Climate Science

Most of the current state-of-the-art climate and weather models are largely based on simulations of massive numerical systems that utilize the laws of physics...

The Latest Google Research Shows how a Machine Learning ML Model that Provides a Weak Hint can Significantly Improve the Performance of an Algorithm...

In many applications, decisions are frequently made based on requests that come in an online fashion, which means that not all of the problem's...

Electrostatic Halftoning: An AI Approach Based on Physical Principles of Electrostatics for Image Dithering, Stippling, Screening, and Sampling

Halftoning is a graphic design technique used to replicate a picture using dots of various lengths and colors. Researchers from Saarland University in Germany...

This Artificial Intelligence Research Confirms That Transformer-Based Large Language Models Are Computationally Universal When Augmented With An External Memory

The remarkable results achieved by transformer-based models like GPT-2 and GPT-3 gravitated the research community toward exploring large language models (LLMs). Additionally, ChatGPT’s recent...

A New Transformer Based Reinforcement Learning Agent Called ‘AdA’ Inhabits a Rich 3D World and Can Rapidly Adapt to Tasks It Has Never Seen...

It has always been astounding how quickly humans can adjust to their environment. Artificial intelligence agents have been developed over many years to replicate...

AI21 Labs Proposes A New Method Called ‘In-Context RALM’ That Can Add Ready-Made External Knowledge Sources To The Existing Language Model

With recent developments in language modeling (LM) research, machine-generated text applications have spread to a number of previously untapped domains. However, a significant issue...

Meta Open-Sources Holistic Trace Analysis (HTA): A Performance Analysis Tool That is Fully Scalable to Support State-of-the-Art Machine Learning ML Workloads

Machine learning and deep learning models perform remarkably on various tasks thanks to recent technological developments. However, this outstanding performance is not without a...

UCLA Researcher Develops a Python Library Called ClimateLearn for Accessing State-of-the-Art Climate Data and Machine Learning Models in a Standardized and Straightforward Way

Extreme weather conditions have become a typical occurrence, especially in recent years. Climate change is the main factor to blame for such extreme weather-related...

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