Eugene Serbin
Scientists Create Artificial Intelligence Model for Forecasting Stock Market Movements
Can artificial intelligence tools aid in forecasting changes in stock prices and market volatility? Researchers from South Dakota State University suggest they can. Kaiqun Fu, an assistant professor in SDSU’s Department of Electrical Engineering and Computer Science, and Yangxiao Bai, a graduate research assistant, have crafted an innovative AI-driven model called “ALERTA-Net.” This deep neural…
Eugene Serbin
DeepMind’s System Delivers 10-Day Weather Predictions in Just One Minute
This week, researchers from DeepMind rolled out an incredibly precise AI tool for weather forecasts that they claim signifies a milestone in the field. Featured in a Science publication, staff research scientist from DeepMind, Remi Lam, mentioned that their new algorithm surpasses existing forecasting techniques in both speed and precision, delivering detailed forecasts of atmospheric…
Eugene Serbin
AI Technology Empower Users to Choose Their Preferred Sounds in Noise-canceling Headphone
Most individuals familiar with noise-canceling headphones understand the significance of filtering out specific sounds at specific moments. For instance, someone may desire to eliminate car honks while working indoors but not when strolling along bustling streets. Users typically lack the ability to choose which sounds their headphones cancel. A group of researchers from the…
Eugene Serbin
Recommendation Algorithms
Recommendation algorithms have evolved significantly, and understanding their development requires delving into their historical origins. These systems have their roots in the late 20th century, primarily within the realms of information retrieval and e-commerce. In the field of information retrieval, one of the earliest instances of recommendation systems emerged during the 1970s. At that…
Eugene Serbin
Samsung Introduces Samsung Gauss, a Text, Code, and Image Generation Alternative to ChatGPT
Shortly after OpenAI’s developer event, Samsung revealed its very own generative AI model, Samsung Gauss, at the Samsung AI Forum 2023. Developed by the tech giant’s research division, Samsung Research, Samsung Gauss encompasses three distinct tools: Samsung Gauss Language, Samsung Gauss Code, and Samsung Gauss Image. Samsung Gauss Language is a robust language…
Eugene Serbin
OpenAI Introduces GPT-4 Turbo and Fine-Tuning Initiative for GPT-4
At its first developer conference, OpenAI introduced GPT-4 Turbo, an enhanced iteration of its primary text-generating AI model, GPT-4, touted as both more potent and cost-effective. GPT-4 Turbo comes in two variants: one specializing in textual analysis and another proficient in comprehending both text and image context. The text-analyzing model is currently available in…
Eugene Serbin
Elon Musk’s xAI Set to Debut Its First AI Model for a Select Audience
Elon Musk announced that his new artificial intelligence company is set to unveil a fresh AI model this Saturday, exclusively to a “carefully chosen group” of users, as he strives to challenge leading industry players like OpenAI and Google. This unveiling marks the debut of Musk’s recently launched startup, xAI, which came into existence…
Eugene Serbin
Apple’s Virtual Assistant Siri
Siri’s story began in 2010 when Apple acquired a small company called Siri Inc. This purchase laid the foundation for what would become Siri. The people behind Siri Inc., Adam Cheyer, Dag Kittlaus, and Tom Gruber, had a vision: they wanted to create a virtual assistant that could understand and chat with people naturally. They…
Eugene Serbin
Research Team Creates an AI Model to Efficiently Eliminate Bias in Datasets
Professor Sang-hyun Park’s research team at the Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), has introduced a novel image translation model with the potential to mitigate biases in data effectively. When constructing artificial intelligence (AI) models using images gathered from diverse sources, data biases can inadvertently emerge…
Eugene Serbin
Clustering and Classification Algorithms
In machine learning and data analysis, two fundamental techniques play a significant role in understanding patterns and making sense of complex datasets: clustering and classification algorithms. Clustering methods, like k-means, group data points based on their similarities, while classification algorithms, such as Naïve Bayes, assign data points to predefined categories. Both techniques have distinct purposes…
