As the fourth industrial revolution approaches, factories can harness the power of machine learning to reduce maintenance costs.
Fake 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-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 present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
As 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.
Object recognition is common for diagram analysis and text recognition. The technique may soon be used to popularize art and culture.
It 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.
Deloitte estimates that in 2021 enterprise spending on artificial intelligence and machine learning projects will reach 57 billion dollars
For companies seeking ways to test AI-driven solutions in a safe environment, running a competition for data scientists is a great and affordable way to go – when it’s done properly. According to a McKinsey report, only 20% of companies consider themselves adopters of AI technology while 41% remain uncertain about the benefits that AI provides. Considering the cost of implementing AI and the organizational challenges that come with it, it’s no surprise that smart companies […]
Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.