How The Philosophy Of Mind And Consciousness Has Affected AI Research
The “brain in a jar” is a thought experiment of a disembodied human brain living in a jar of sustenance. The thought experiment explores human conceptions of reality, mind, and consciousness. This article will explore a metaphysical argument against artificial intelligence on the grounds that a disembodied artificial intelligence, or a “brain” without a body, is incompatible with …
Using Artificial Intelligence In Health Sciences Education Requires Interdisciplinary Collaboration And Risk Assessment
Over the past five years, there has been an increase in research and development related to the use of artificial intelligence (AI) in health sciences education in fields such as medicine, nursing and occupational therapy. AI-enhanced technologies have been shown to have educational value and offer flexibility for students. For example, learning scenarios can be …
Delivery Robots Get Airbags To Protect You In Case Of Collision
But do they actually work? utonomous vehicle maker Nuro has added external airbags to its self-driving delivery robots to protect pedestrians — but there’s reason to be skeptical about their effectiveness. Drivers wanted: During the pandemic, more people started ordering their food, groceries, and other goods for delivery rather than venturing into stores and restaurants for them. This has led …
How To Handle Imbalanced Data In Machine Learning Classification
In this tutorial, you’ll learn about imbalanced data and how to handle them in machine learning classification in Python. Imbalanced data occurs when the classes of the dataset are distributed unequally. It is common for machine learning classification prediction problems. An extreme example could be when 99.9% of your data set is class A (majority class). At the same …
How Companies Are Actually Using AI In Everyday Practices
When thinking of AI (artificial intelligence), mixed emotions often come to mind. For movie buffs, we might immediately see images of Will Smith battling it out with humanoid AI creatures in IRobot or the even more realistic looking depiction of artificial intelligence in the movie aptly called AI. In our human minds, AI is something …
Explainable AI May Surrender Confidential Data More Easily
Researchers from the National University of Singapore have concluded that the more explainable AI becomes, the easier it will become to circumvent vital privacy features in machine learning systems. They also found that even when a model is not explainable, it’s possible to use explanations of similar models to ‘decode’ sensitive data in the non-explainable model. The research, …
7 Ways To Make The Wider Enterprise Comfortable With Artificial Intelligence
The challenge is putting people first in any and all AI projects. AI practitioners provide recommendations for building a people-centric, yet AI-driven culture. As the people charged with designing, building, and deploying artificial intelligence — from data engineers to developers — recognize, AI is a powerful mechanism for amplifying human knowledge, skills, and efficiency. But …
A.I. Lovers: What Movies You Should Watch For Developers?
Watching AI movies and other related videos can help gain some insight of an idea to create distinctive products, solutions or projects. If you are an AI lover and like to watch Sci-fi movies during holiday season, then here’s for you. Here’s the top 7 recommendation for the developer! Enjoy and Happy Holidays! 1. Blade …
How IoT Can Help You Grow Your Business
Internet of Things has become quite a buzzword these days. But what exactly is IoT, and how can it help you grow your business to new heights? Internet of Things is one of the pillars of what’s being called the fourth industrial revolution. IoT is not a single technology but rather involves numerous technologies that …
The Man, The Machine, And The Black Box: ML Observability
In this talk, Aparna Dhinakaran, Co-Founder and CPO of Arize AI, covered the challenges organizations face in checking for model fairness, such as the lack of access to protected class information to check for bias and diffuse organizational responsibility of ensuring model fairness. Aparna also dived into the approaches organizations can take to start addressing ML fairness …