Machine Learning
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David LukićMarch 29, 2022
How AI and Machine Learning are Improving Cybersecurity
According to a study conducted by the University of Maryland, a cybercrime is committed on average every 39 seconds. With…
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April MillerMarch 24, 2022
The Future of E-Waste Depends on AI and Machine Learning
E-waste is quickly becoming one of the world’s most pressing issues, but AI and machine learning may be able to…
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Tom AllenFebruary 26, 2022
Deep Learning: The next stage of natural selection in cybersecurity
Below is an interview that happened between Tom Allen (TA), Editor of The AI Journal, and Chuck Everette (CE), Director…
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Bhagvan KommadiFebruary 14, 2022
Bias in AI and Machine Learning
As AI and machine learning are becoming popular, Bias in AI decisions is a popular topic for research and focus…
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Cass BishopFebruary 9, 2022
How AutoML Can Simplify ML Model-Building
AutoML is the process of automating the tasks for applying machine learning to real-world problems and covers the complete pipeline…
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Glenn HopperFebruary 8, 2022
Intro to Data Science: Bootstrapping
Data is everywhere. We’re practically swimming in it. Recent estimates suggest that some 79 zettabytes of data were generated in…
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Anupam DattaDecember 22, 2021
The dangers of AI model drift: lessons to be learned from the case of Zillow Offers
How much faith should companies place in AI making business decisions? And how often should organisations ask this question of…
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Zachary PitlukDecember 9, 2021
AI/ML for pharma – where are the opportunities, what are the challenges?
Productivity and efficiency are watchwords for many industrial sectors in today’s fast-paced, competitive business world, and these themes resonate strongly…
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Vatsal GhiyaNovember 10, 2021
How does Text Annotation Play an Important role in Developing ML Models?
Have you ever seen Google Translate discerning text snippets and converting them to English? If yes, then you are in…
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AI-driven machine learning is revolutionising health research
The COVID-19 pandemic demanded an urgent response that vastly accelerated typical drug discovery timeframes. The global health community had months,…
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