Machine Learning
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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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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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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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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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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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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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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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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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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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