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AI Monthly digest #3 – artificial intelligence in science getting big
/in Machine learning, AI Monthly Digest /by Konrad Budek and Arkadiusz NowaczynskiNovember 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
/in Machine learning, Reinforcement learning /by Konrad BudekAmong 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
/in Data science, Machine learning /by Konrad BudekAs the fourth industrial revolution approaches, factories can harness the power of machine learning to reduce maintenance costs.
AI Monthly digest #2 – the fakeburger, BERT for NLP and machine morality
/in Data science, AI Monthly Digest /by Konrad Budek and Arkadiusz NowaczynskiFake images of hamburgers, the autonomous trolley problem, BERT for NLP and more stories from October, curated by deepsense.ai’s team, right here in AI Monthly Digest.
AI Monthly digest #1 – AI stock trading & Kaggle record
/in Data science, Deep learning, Machine learning, AI Monthly Digest /by Konrad Budek and Arkadiusz NowaczynskiAI-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.
Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning
/in Deep learning, Machine learning /by Piotr Migdal, Patryk Miziuła and Rafał JakubanisIn 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 present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
Expert augmented reinforcement learning – agents of Montezuma’s Revenge
/in Reinforcement learning /by Konrad BudekAs a huge amount of computing power and time are required to train RL agent, it is no surprise that researchers are looking for ways to shorten the process.
Museum Treasures – AI at the National Museum in Warsaw
/in Data science /by Agata ChęcińskaObject recognition is common for diagram analysis and text recognition. The technique may soon be used to popularize art and culture.
Wait, so loans need to be repaid? The home credit risk prediction competition on Kaggle
/in Data science /by Konrad BudekIt was far and away the most popular Kaggle competition, gaining the attention of more than 8,000 data scientists globally. The team of Paweł Godula, team leader and deepsense.ai’s Director of Customer Analytics, Michał Bugaj and Aliaksandr Varashylau took fifth place and 1st on the public leaderboard.
How machine learning improves business efficiency – five practical examples
/in Machine learning /by Konrad BudekDeloitte estimates that in 2021 enterprise spending on artificial intelligence and machine learning projects will reach 57 billion dollars