AI Monthly Digest #7 – machine mistakes, and the hard way to profit from non-profit
March saw some major events concerning top figures of the ML world, including OpenAI, Yann LeCun, Geoffrey Hinton and Yoshua Bengio.
With your head in the clouds – how to harness the power of artificial intelligence
Are supercomputers really necessary for everyone to take advantage of the AI revolution?
AI Monthly Digest #5 – AlphaStar beats human champions, robots learn to grasp and a Finnish way to make AI a commodity
With a ground-breaking AlphaStar beating human champions in Starcraft II, January kickstarted 2019 AI-related research and activities.
How artificial intelligence can fight hate speech in social media
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.
Five top artificial intelligence (AI) trends for 2019
“Trend” is a larger development than a particular advancement. Here are five of the most significant and inspiring IA trends to watch in 2019.
AI Monthly Digest #4 – artificial intelligence and music, a new GAN standard and fighting depression
December brought both year-end summaries and impressive research work pushing the boundaries of AI.
Powering up demand forecasting with machine learning
Demand forecasting is done by analyzing statistical data and looking for patterns and correlations. Machine learning takes the practice to a higher level.
AI Monthly Digest #3 – artificial intelligence in science getting big
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 […]
Driverless car or autonomous driving? Tackling the challenges of autonomous vehicles
Among both traditional carmakers and cutting-edge tech behemoths, there is massive competition to bring autonomous vehicles to market.
Outsmarting failure. Predictive maintenance powered by machine learning
As the fourth industrial revolution approaches, factories can harness the power of machine learning to reduce maintenance costs.