Scientists at Deep Longevity published the first set of psychomarkers of aging developed using deep learning to track the changes in human psychology and assess the effectiveness of interventions, life events, and external events. The new PsychoAge and SubjAge aging clocks were linked to mortality risk.
Search Results for: artificial intelligence
Scientists Publish the First Human Psychological Aging Clock Using Artificial Intelligence
December 17, 2020 by
How Artificial Intelligence Will Revolutionize the Way Video Games are Developed
November 27, 2020 by
In this contributed article, co-founder of Hackr.io, discusses how artificial intelligence will revolutionize the way video games are developed. AI has brought a change in the gaming industry ever since its inception. Over the years, we have seen drastic changes in the way games are developed. In today’s technologically advanced world, games have become more challenging and exciting by providing human like experiences.
The Future of Artificial Intelligence in a Post-COVID-19 World
November 16, 2020 by
In this special guest feature, Betsy Hilliard, Principal Scientist at Valkyrie, offers three emerging trends showing how AI will play a major role in a post-COVID world and shape the business landscape moving forward. Valkyrie is a science-driven consulting firm that aims to solve organizational and global challenges through AI and machine learning.
Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data
November 9, 2020 by
In this white paper,”Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data,” our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive edge will be rock solid.
Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data
November 4, 2020 by Leave a Comment
In this white paper, our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive edge will be rock solid.
2021 Trends in Artificial Intelligence and Machine Learning: The ModelOps Movement
November 3, 2020 by
In this contributed article, editorial consultant Jelani Harper highlights the ModelOps movement and how it is about more than simply operationalizing and governing AI models. It’s about doing so quickly, at scale, with full accountability, and in a manner that resolves the most mission critical business problems—if not those for society, as well.
Book Review: Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
September 28, 2020 by
We’re seeing a rising number of new books on the mathematics of data science, machine learning, AI and deep learning, which I view as a very positive trend because of the importance for data scientists to understand the theoretical foundations for these technologies. In the coming months, I plan to review a number of these […]
How Artificial Intelligence Will Help Decide This Season’s NFL Pizza Delivery War
September 18, 2020 by
In this contributed article, Campbell Brown, CEO & Co-Founder of PredictHQ, analyzes how companies that double down on smarter ways to accurately forecast demand during NFL season can be successful – which in today’s world, represents an opportunity for competitive advantage that businesses won’t want to pass up.
Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
August 22, 2020 by
In this contributed article, editorial consultant Jelani Harper takes a look at the chief value proposition of unsupervised learning—for machine learning models to explore and categorize data based on their findings as opposed to stratifications imposed by humans—and how it is immensely useful for everything from general data discovery to targeted use cases like precision medicine.
Lightmatter Introduces Optical Processor to Speed Compute for Next-Generation Artificial Intelligence
August 20, 2020 by
Lightmatter, a leader in silicon photonics processors, announced its artificial intelligence (AI) photonic processor, a general-purpose AI inference accelerator that uses light to compute and transport data. Using light to calculate and communicate within the chip reduces heat—leading to orders of magnitude reduction in energy consumption per chip and dramatic improvements in processor speed.
