GenAI

The role of machine learning and computer vision in Imageomics

The role of machine learning and computer vision in Imageomics

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. The field of imageomics aims to help explore fundamental questions about biological processes on Earth by combining images of living organisms with computer-enabled analysis and discovery. Wei-Lun Chao, an investigator at The Ohio State University's Imageomics Institute and a distinguished assistant professor of engineering inclusive excellencein computer science and engineering at Ohio State, gave an in-depth presentation about the latest research advances in the field last month at the…
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Going top shelf with AI to better track hockey data

Going top shelf with AI to better track hockey data

Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports. The growing field of hockey analytics currently relies on the manual analysis of video footage from games. Professional hockey teams across the sport, notably in the National Hockey League (NHL), make important decisions regarding players' careers based on that information. "The goal of our research is to interpret a hockey game through video more effectively and efficiently than a human,"…
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Robotic interface masters a soft touch

Robotic interface masters a soft touch

The perception of softness can be taken for granted, but it plays a crucial role in many actions and interactions -- from judging the ripeness of an avocado to conducting a medical exam, or holding the hand of a loved one. But understanding and reproducing softness perception is challenging, because it involves so many sensory and cognitive processes. Robotics researchers have tried to address this challenge with haptic devices, but previous attempts have not distinguished between two primary elements of softness perception: cutaneous cues (sensory feedback from the skin of the fingertip), and kinesthetic cues (feedback about the amount of…
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How do neural networks learn? A mathematical formula explains how they detect relevant patterns

How do neural networks learn? A mathematical formula explains how they detect relevant patterns

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team led by data and computer scientists at the University of California San Diego has given neural networks the equivalent of an X-ray to uncover how they actually learn. The researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as…
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The AI paradox: Building creativity to protect against AI

The AI paradox: Building creativity to protect against AI

Cultivating creativity in schools is vital for a future driven by artificial intelligence (AI). But while teachers embrace creativity as an essential 21st century skill, a lack of valid and reliable creativity tests means schools struggle to assess student achievement. Now, a new machine-learning model developed by the University of South Australia is providing teachers with access to high-quality, fit-for-purpose creativity tests, that can score assessments in a fraction of the time and a fraction of the cost. Applied to the current empirical creativity test -- Test of Creative Thinking -- Drawing Production (TCT-DP) -- the new algorithm marks a…
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GPT-4 Cheat Sheet: What is GPT-4 & What is it Capable Of?

GPT-4 Cheat Sheet: What is GPT-4 & What is it Capable Of?

GPT-4 is an artificial intelligence large language model system that can mimic human-like speech and reasoning. It does so by training on a vast library of existing human communication, from classic works of literature to large swaths of the internet. Artificial intelligence of this type builds on its training to predict what letter, number or other character is likely to come in sequence. This cheat sheet explores GPT-4 from a high level: how to access GPT-4 for either consumer or business use, who made it and how it works. What is GPT-4? GPT-4 is a large multimodal model that can…
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AI saving humans from the emotional toll of monitoring hate speech

AI saving humans from the emotional toll of monitoring hate speech

A team of researchers at the University of Waterloo have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work. The method, dubbed the Multi-Modal Discussion Transformer (mDT), can understand the relationship between text and images as well as put comments in greater context, unlike previous hate speech detection methods. This is particularly helpful in reducing false positives, which are often incorrectly flagged as hate speech due to culturally sensitive language. "We really hope this technology can help reduce the emotional cost…
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UALink: Google, Microsoft, Meta and More to Develop AI Chip Components

UALink: Google, Microsoft, Meta and More to Develop AI Chip Components

AMD, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta and Microsoft are combining their expertise to create an open industry standard for an AI chip technology called Ultra Accelerator Link. The setup will improve high-speed and low latency communications between AI accelerator chips in data centres. An open standard will advance artificial intelligence/machine learning cluster performance across the industry, meaning that no singular firm will disproportionately capitalise on the demand for the latest and greatest AI/ML, high-performance computing and cloud applications. Notably absent from the so-called UALink Promoter Group are NVIDIA and Amazon Web Services. Indeed, the Promoter Group…
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Children’s visual experience may hold key to better computer vision training

Children’s visual experience may hold key to better computer vision training

A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State. In the first two years of life, children experience a somewhat narrow set of objects and faces, but with many different viewpoints and under varying lighting conditions. Inspired by this developmental insight, the researchers introduced a new machine learning approach that uses information about spatial position to train AI visual systems more efficiently. They…
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Google’s AI Overviews Will Always Be Broken. That’s How AI Works

Google’s AI Overviews Will Always Be Broken. That’s How AI Works

A week after its algorithms advised people to eat rocks and put glue on pizza, Google admitted Thursday that it needed to make adjustments to its bold new generative AI search feature. The episode highlights the risks of Google’s aggressive drive to commercialize generative AI—and also the treacherous and fundamental limitations of that technology.Google’s AI Overviews feature draws on Gemini, a large language model like the one behind OpenAI’s ChatGPT, to generate written answers to some search queries by summarizing information found online. The current AI boom is built around LLMs’ impressive fluency with text, but the software can also…
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