With a ground-breaking AlphaStar beating human champions in Starcraft II, January kickstarted 2019 AI-related research and activities.
With social media users numbering in the billions, coming from various backgrounds to today’s wildly popular platforms, a space for hate speech has emerged.
“Trend” is a larger development than a particular advancement. Here are five of the most significant and inspiring IA trends to watch in 2019.
December brought both year-end summaries and impressive research work pushing the boundaries of AI.
Demand forecasting is done by analyzing statistical data and looking for patterns and correlations. Machine learning takes the practice to a higher level.
November brought a lot of significant AI-related breaking news. Machine learning and deep learning models were folding proteins, deriving the laws of physics from fictional universes and mimicking the human brain in a way never before seen. This edition of AI Monthly digest looks at scientific improvements made by AI with significant support from tech […]
Among both traditional carmakers and cutting-edge tech behemoths, there is massive competition to bring autonomous vehicles to market.
As the fourth industrial revolution approaches, factories can harness the power of machine learning to reduce maintenance costs.
AI-based stock trading, a record-breaking competition on Kaggle and more stories cherry-picked from all the interesting ML- and AI-related news from September.
In our previous post, we gave you an overview of the differences between Keras and PyTorch, aiming to help you pick the framework that’s better suited to your needs. Now, it’s time for a trial by combat. We’re going to pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We […]