Month: June 2022
Artificial Intelligence’s Environmental Costs and Promise – Council on Foreign Relations
Artificial intelligence (AI) is often presented in binary terms in both popular culture and political analysis. Either it represents the key to a futuristic utopia defined by the integration of human intelligence and technological prowess, or it is the first step toward a dystopian rise of machines. This same binary thinking is practiced by academics,…
Can Artificial Intelligence Be Creative? – Discovery Institute
Image: Lady Ada Lovelace (1815–1852), via Wikimedia Commons. Editor’s note: We are delighted to present an excerpt from Chapter 2 of the new book Non-Computable You: What You Do that Artificial Intelligence Never Will, by computer engineer Robert J. Marks, director of Discovery Institute’s Bradley Center for Natural and Artificial Intelligence. Some have claimed AI is…
‘It’s not going to work’: Keeping race out of machine learning isn’t enough to avoid bias – STAT
As more machine learning tools reach patients, developers are starting to get smart about the potential for bias to seep in. But a growing body of research aims to emphasize that even carefully trained models — ones built to ignore race — can breed inequity in care. Researchers at the Massachusetts Institute of Technology and…
What is linear regression in machine learning? – Dataconomy
Today we are delving into what is linear regression in machine learning. Linear regression is both a statistical and a machine learning algorithm. Linear regression analysis estimates the value of one variable relative to the value of another. Linear regression is frequently used in statistical data analysis. Most machine learning algorithms are borrowed from various…
AI bias: Robot run by artificial intelligence perpetuates racist prejudices – New Scientist
Virtual robot run by artificial intelligence acts in a way that conforms to toxic stereotypes when asked to pick faces that belong to criminals or homemakers Technology 27 June 2022 By Chris Stokel-Walker Robots running on artificial intelligence software will inherit the same biases AI gets from humansYuichiro Chino/Getty Images A robot running an artificial…
Adversarial machine learning explained: How attackers disrupt AI and ML systems – CSO Online
As more companies roll out artificial intelligence (AI) and machine learning (ML) projects, securing them becomes more important. A report released by IBM and Morning Consult in May stated that of more than 7,500 global businesses, 35% of companies are already using AI, up 13% from last year, while another 42% are exploring it. However,…
10 conditions when tree-based machine learning models should be avoided – Analytics India Magazine
Listen to this story Tree-based machine learning models are generally used for their easy interpretation and the way they handle higher dimensional data. But tree-based models are having some concerns with some use cases and the traditional machine learning models only appear to perform better and converge faster when compared to tree-based models in machine…
87% of Indian firms to hike their AI spend by 10% in 3 years: Report – ETTelecom
Nearly 87 per cent of enterprises in India are likely to increase annual artificial intelligence (AI) spending by more than 10 per cent in the next three years, a new report showed.Approximately 80 per cent of enterprises in the country have at least one AI model in production, indicating an extensive penetration of AI/machine learning…
OctoML makes it easier to put AI/ML models into production
OctoML, the well-funded machine learning startup that helps enterprises optimize and deploy their models, launched a major update to its product today that will make it far easier for developers to integrate ML models into their applications. With this new release, OctoML can now transform ML models into portable software functions that developers can interact…
The amazing potential of artificial intelligence, machine learning for every industry
In a moment of frustration, you might have wished your organization had two superpowers. First, the ability to put your most time-consuming, labor-intensive, and detail-oriented processes on autopilot so you could focus on improving your growth outcomes. Second, the ability to answer questions that seem too complicated, confusing, or contradictory to make sense of. With…