deepsense.ai to share its AI expertise at conference in United Arab Emirates
CEO sees participation in Dubai conference as great way to begin executing company’s recently announced five-year business strategy.
Entries by Konrad Budek
Four ways to use a Kaggle competition to test artificial intelligence in business
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 […]
deepsense.ai’s Henryk Michalewski to join Oxford University as a Visiting Professor
deepsense.ai researcher Henryk Michalewski is set to join Michael Benedikt’s lab as a visiting professor at the Department of Computer Science at Oxford University. Michalewski’s post will begin September 1.
deepsense.ai announces strategy to become Europe’s AI powerhouse
Artificial intelligence and machine learning solutions provider deepsense.ai recently laid out its five-year strategy.
Three reasons why data analysts make the perfect data scientists
Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.
Building a Matrix with reinforcement learning and artificial imagination
Child’s mind is able to create fantastic worlds in seconds. So what would happen if robots had an artificial imagination?
Crime prediction in theory and practice – Vancouver and beyond
Vancouver provides a great environment for a conference with crime forecasting on the agenda. Not only is it a really safe city, but also gave us the opportunity to prove just how efficient these technologies are.
When predictive analytics in football fall short (an example)
German team – the one Goldman Sachs picked with predictive analytics as the probable world champ – failed to get out of its group for the first time in 80 years.
What is reinforcement learning? The complete guide
Although machine learning is seen as a monolith, this cutting-edge technology is diversified, with various sub-types including machine learning, deep learning, and the state-of-the-art technology of deep reinforcement learning.
Learning to run – an example of reinforcement learning
Software that understands muscle-controlled limb movement would be able to translate neural signals into instructions for automated arms or legs.