​ In the digital era, automated deception detection systems have become vital across various fields. The demand for accurate detection is evident in commerce, medicine, education, law enforcement, and national security. Human interviewers’ limitations pose risks of false accusations and ineffective detection. To address these… Read More »Automated Deception Detection: Tokyo University Researchers Utilize Facial Expressions and Pulse Rates to Unmask Deception through Machine Learning Madhur Garg Artificial Intelligence Category – MarkTechPost

​ SageMaker Distribution is a pre-built Docker image containing many popular packages for machine learning (ML), data science, and data visualization. This includes deep learning frameworks like PyTorch, TensorFlow, and Keras; popular Python packages like NumPy, scikit-learn, and pandas; and IDEs like JupyterLab. In addition… Read More »SageMaker Distribution is now available on Amazon SageMaker Studio Durga Sury AWS Machine Learning Blog

​ Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content… Read More »Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra Bharathi Srinivasan AWS Machine Learning Blog

​ How to convert a list to an array in Python? You can convert a list to an array using the array module. This module provides an efficient way to store and manipulate homogeneous numeric data (elements of the same type) like integers, floats, etc.… Read More »Convert List to Array Python Malli Spark By {Examples}

​ If you have been paying attention to the development in the computer graphics domain, you should be familiar with neural radiance fields (NeRFs). They have emerged as a promising technique for representing 3D scenes and objects. They use deep neural networks to model the… Read More »Not the Hero NeRFs Deserve, but the Hero NeRFs Need: CopyRNeRF is an AI Approach That Protects the Copyright of NeRFs Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ In the era of rapidly advancing AI, a pivot challenge needs attention: the transparency and trustworthiness in generative AI. IBM researchers aim to arm the world with AI detection and attribution tools to change how we perceive generative AI. However, the complexity is that… Read More »Unmasking the Author: AI or Human? Exploring the Emergence of AI Forensics with IBM’s Innovative Text Detection Tools Astha Kumari Artificial Intelligence Category – MarkTechPost

​ How to find the maximum of two numbers in Python? You can create a program that takes two integers as input from the user and returns the maximum of the two numbers. The easiest way to find the maximum of two numbers is by… Read More »Maximum of Two Numbers in Python Malli Spark By {Examples}

​ In a world where AI-powered technologies can craft images that blur the line between reality and fabrication, the risk of misuse looms. Advanced generative models like DALL-E and Midjourney have lowered the barriers of entry, allowing even inexperienced users to generate hyper-realistic images from… Read More »MIT Researchers Introduce PhotoGuard: A New AI Tool that Prevents Unauthorized Image Manipulation Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Large language models (LMs) are remarkably capable of authoring source code, creating original works of art, and conversing with people. The data used to train the models makes them capable of carrying out these tasks. By enhancing this training data, certain skills can be… Read More »Meet Skill-it: A Data-Driven Skills Framework for Understanding and Training Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) are recent advances in deep learning models to work on human languages. These deep-learning trained models understand and generate text in a human-like fashion. These models are trained on a huge dataset scraped from the internet, taken from books, articles,… Read More »CMU Researchers Propose a Simple and Effective Attack Method that Causes Aligned Language Models to Generate Objectionable Behaviors at a High Success Rate Rachit Ranjan Artificial Intelligence Category – MarkTechPost