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Psychologists use machine learning to unveil unexpected links between positive communication and romantic outcomes – PsyPost
New research sheds light on how positive communication can shape satisfaction and desire within romantic relationships. The study, which utilized machine learning techniques, indicates that the impact of positive communication is more nuanced than previously thought
Japan’s AI draft guidelines ask for measures to address overreliance – Japan Today
Companies and organizations that utilize artificial intelligence will be required to take measures to reduce the risk of overreliance on the technology, according to draft guidelines by a Japanese government panel. The draft guidelines obtained by Kyodo News also call on AI developers to be careful not to use biased data for machine learning, while urging them to maintain records of their interactions with the technology, to be provided in the event of any issues.
Scientists begin building AI for scientific discovery using tech behind ChatGPT – Tech Xplore
This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: fact-checked trusted source proofread close An international team of scientists, including from the University of Cambridge, have launched a new research collaboration that will leverage the same technology behind ChatGPT to build an AI-powered tool for scientific discovery. While ChatGPT deals in words and sentences, the team's AI will learn from numerical data and physics simulations from across scientific fields to aid scientists in modeling everything from supergiant stars to the Earth's climate.
5 ways AI is leveling the battlefield – Fox News
The AI revolution started by ChatGPT continues to accelerate, with machine learning showing up in everything from ecommerce to tractors. And while the applications continue to explode, its becoming clear that AI can help smaller players compete by harnessing their data in the same way industrial behemoths have for decades.
FOXO Technologies Announces Issue Notification from USPTO for a … – BioSpace
MINNEAPOLIS--(BUSINESS WIRE)-- FOXO Technologies Inc.
Shortcomings of Visualizations for Human-in-the-Loop Machine … – Stanford HAI
Because machine learning models are built on data, it makes sense to use data visualization tools to help us interpret how those systems work. For the last few years, some data visualization researchers have been doing just that, launching a field known as Visualization for Machine Learning, or VIS4ML.
Multus Bio harnesses AI to optimize cell culture media formulation – AgFunderNews
Whats the key to cutting the cost of cell culture media for cultivated meat? Finding more efficient ways to produce pricey inputs such as growth factors (proteins that encourage cells to grow and differentiate) at scale will be critical, whether thats via genetically engineered microbes, plants, or fruit flies. But thats only part of the challenge, says London-based startup Multus Biotechnology.
The Future of AI in Hybrid: Challenges & Opportunities – TechFunnel
Over the past several weeks, the flurry of new generative AI products and capabilities from ChatGPT to Bard and numerous variations from others built around large language models (LLMs) has created an excessive hype cycle. However, many argue that these generalized models are unsuitable for enterprise use. Most AI engines show signs of struggling when assigned niche or domain-specific tasks.
Does AI and machine learning further entrench gender inequity? – Women Love Tech
Tomorrow, I will be emceeing an incredible panel of women at SXSW Sydney. They are Dr Catriona Wallace from the Responsible Metaverse Alliance and author of Checkmate Humanity, Tracey Spicer, author of Man-Made, and Shivani Gopal, CEO and Founder of Elladex
Unveiling the Top AI Development Technologies | by Pratik … – DataDrivenInvestor
With the help of cutting-edge technologies, artificial intelligence is transforming today drastically. Artificial intelligence, once limited to being a distinct field of study for three decades, has expanded its reach to encompass various applications across various domains. According to Grand View Research, AI will continue transforming many industries, with a projected annual growth rate of 37.3% between 2023 and 2030