Salesforce Research

With the recent advancements in technology and the field of Artificial Intelligence, there have been a lot of innovations. Be it text generation using...

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

Slack is an effective productivity tool used by professionals and teams worldwide to stay in touch and update on the latest work-related information in...

When trying to make an online hotel reservation or online purchase, a customer will likely come in contact with chatbots on a business website....

The growth of over 100 remarkable language translation models and other advances linked to book summarizing or collaborative creative writing highlight recent advancements in...

Time series forecasting, also known as predicting future values based on historical data, is crucial to solving many real-world issues ranging from weather forecasts...

In many commercial and scientific applications, the challenge of forecasting or predicting future values based on historical values is crucial. This is because forecasting...

With the pandemic's arrival, the internet has become an even more integral part of everyone's daily existence. Because of the interconnectedness of our modern...

Recent years have seen remarkable development in the creation of sophisticated language-vision models. Real-world applications rely heavily on multimodal material, particularly language-vision data, which...

Time-series forecasting has gained tremendous importance in recent times. The task of making future predictions based on previous data, particularly numerical data gathered in...

One of the main functions of computer vision is object detection, which continues to draw a lot of academic attention. These algorithms give excellent...

Artificially Intelligent models, particularly those based on deep neural networks, have been viewed as black-box models since the rise of machine learning. This is...

This Article is written as a summay by Marktechpost Staff based on the article 'TaiChi: Open Source Library for Few-Shot NLP'. All Credit For...

This Article is written as a summay by Marktechpost Staff based on the research paper 'RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question...

This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Align and Prompt: Video-and-Language Pre-training with Entity Prompts'. All...

Reinforcement Learning (RL) is a branch of Machine Learning (ML) that studies how intelligent agents should behave in a given situation to maximize a...

This Article Is Based On The Research Paper 'The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning'. All Credit For This...

This summary article is based on the paper. 'Converse: A Tree-Based Modular Task-Oriented Dialogue System' and all credit goes to the authors of this...

Please don't forget to join our ML Subreddit Imagine being able to tell a machine to write an app simply by telling it what the...

Just how humans use vision and language to experience the environment, AI models are built on the foundations of vision and language. Vision-language pre-training has...

Time series are a way to visualize and analyze the behavior of complex systems. They can represent key performance indicators for computing resources such...

AI-powered coding tools, which use machine learning algorithms to generate code based on input data, have attracted increasing attention. In theory, these systems can...

When it comes to AI research and applications, multi-agent systems are a frontier. They have been used for engineering challenges such as self-driving cars,...