​ Since the emergence of large-scale OT and Wasserstein GANs, machine learning has increasingly embraced using neural networks to solve optimum transport (OT) issues. The OT plan has recently been shown to be usable as a generative model with comparable performance in real tasks. The… Read More »Researchers from Skoltech and the AIRI have developed a new algorithm for optimal data transfer between domains using neural networks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Second Nature The conversational technology built into Second Nature’s sales training software simulates real conversations with sales representatives. This enables sales representatives to hone their selling techniques in a risk-free, low-pressure setting. The program assists sales representatives in closing more agreements by helping them… Read More »Best AI-Based Customer Support Tools (2023) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ Docktopus AI Decktopus is an AI-powered presentation tool that simplifies online content creation with more than 100 customizable templates, allowing users to create professional presentations in seconds. Promptpal AI Promptpal AI helps users discover the best prompts to get the most out of AI… Read More »40+ Cool AI Tools You Should Check Out (April 2023) Arham Islam Artificial Intelligence Category – MarkTechPost

​ Dimensionality reduction combined with outlier detection is a technique used to reduce the complexity of high-dimensional data while identifying anomalous or extreme values in the data. The goal is to identify patterns and relationships within the data while minimizing the impact of noise and… Read More »This Paper Explains the Impact of Dimensionality Reduction on Outlier Detection Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Dimensionality reduction combined with outlier detection is a technique used to reduce the complexity of high-dimensional data while identifying anomalous or extreme values in the data. The goal is to identify patterns and relationships within the data while minimizing the impact of noise and… Read More »This Paper Explains the Impact of Dimensionality Reduction on Outlier Detection Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Dimensionality reduction combined with outlier detection is a technique used to reduce the complexity of high-dimensional data while identifying anomalous or extreme values in the data. The goal is to identify patterns and relationships within the data while minimizing the impact of noise and… Read More »This Paper Explains the Impact of Dimensionality Reduction on Outlier Detection Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost