Consumers are experimenting with the latest generative AI applications to write text, compose music, and create digital art.

In this informative and engaging video, we explore the fascinating world of quantum computing and its untapped potential. We delve into the challenges of building quantum computers and how artificial intelligence can help us overcome these challenges.
Whether you’re an AI or quantum computing enthusiast, or simply curious about the future of technology, this video is a must-watch. Join us as we unlock the potentials of quantum computing with AI and discover the limitless possibilities that lie ahead.
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Priyanjali Gupta, an engineering student from Tamil Nadu’s Vellore Institute of Technology (VIT), has created an AI model which can translate American sign language to English in real-time. A third-year computer science student, Priyanjali Gupta is specialising in Data Science and developed the new model using Tensorflow object detection API and it is able to translate the signs using transfer learning from a pre-trained model named ssd_mobilenet.
Gupta has shared her creation on LinkedIn wherein she demonstrated the capabilities of her AI model in a demo video. According to her Github post, “The dataset is made manually by running the Image Collection Python file that collects images from your webcam for or all the mentioned below signs in the American Sign Language: Hello, I Love You, Thank you, Please, Yes and No”, She also displayed the same in her demo clip.
New work from Carnegie Mellon University has enabled robots to learn household chores by watching videos of people performing everyday tasks in their homes.
The research could help improve the utility of robots in the home, allowing them to assist people with tasks like cooking and cleaning. Two robots successfully learned 12 tasks including opening a drawer, oven door and lid; taking a pot off the stove; and picking up a telephone, vegetable or can of soup.
“The robot can learn where and how humans interact with different objects through watching videos,” said Deepak Pathak, an assistant professor in the Robotics Institute at CMU’s School of Computer Science. “From this knowledge, we can train a model that enables two robots to complete similar tasks in varied environments.”
Artificial intelligence can predict on-and off-target activity of CRISPR tools that target RNA instead of DNA, according to new research published in Nature Biotechnology.
The study by researchers at New York University, Columbia University, and the New York Genome Center, combines a deep learning model with CRISPR screens to control the expression of human genes in different ways—such as flicking a light switch to shut them off completely or by using a dimmer knob to partially turn down their activity. These precise gene controls could be used to develop new CRISPR-based therapies.
CRISPR is a gene editing technology with many uses in biomedicine and beyond, from treating sickle cell anemia to engineering tastier mustard greens. It often works by targeting DNA using an enzyme called Cas9. In recent years, scientists discovered another type of CRISPR that instead targets RNA using an enzyme called Cas13.
OpenAI’s large language models (LLMs) are trained on a vast array of datasets, pulling information from the internet’s dustiest and cobweb-covered corners.
But what if such a model were to crawl through the dark web — the internet’s seedy underbelly where you can host a site without your identity being public or even available to law enforcement — instead? A team of South Korean researchers did just that, creating an AI model dubbed DarkBERT to index some of the sketchiest domains on the internet.
It’s a fascinating glimpse into some of the murkiest corners of the World Wide Web, which have become synonymous with illegal and malicious activities from the sharing of leaked data to the sale of hard drugs.
Don’t know where the nearest café is? Or if it will rain today? Or even the meaning of life? Fear not, ask your e-bike.
An avant-garde company in the cycling industry has found the solution to your long lonely rides.
Urtopia made waves at EUROBIKE 2023 with the introduction of the world’s first e-bike integrated with ChatGPT, an artificial intelligence chatbot developed by OpenAI that is all the rage right now.