-
Knowledge base
- Blog
- Press center
-
deepsense.ai
- Our story
- Management
- Scientific Advisory Board
- Careers
-
Support
- Terms of service
- Privacy policy
- Contact us
-
Join our community
-
- © deepsense.ai 2014-
3D meets AI – an unexplored world of new business opportunities
/in Data science, Deep learning, Machine learning /by Krzysztof Palczewski, Jarosław Kochanowicz and Michał TadeusiakAI has become a powerful force in Computer Vision and it has unleashed tangible business opportunities for 2D visual data such as images and videos. Applying AI can bring tremendous results in a number of fields. To learn more about this exciting area, read our overview of 2D computer vision algorithms and applications.
deepsense.ai and books-box.com – using machine learning to deliver knowledge pills
/in Data science /by Oleh PlakhtiyModern science is facing a completely new challenge: overload. According to research from the University of Ottawa, the total number of research papers published since 1665 passed the 50 million mark in 2009 and approximately 2.5 million new papers are published every year.
AI in healthcare – tackling COVID-19 and other future challenges
/in Data science, Deep learning /by Paulina Knut, Maciej Leoniak and Konrad BudekThroughout history, tackling pandemics has always been about using the latest knowledge and approaches. Today, with AI-powered solutions, healthcare has new tools to tackle present and future challenges, and the COVID-19 pandemic will prove to be a catalyst of change.
Smart alerting with AIOps
/in AIOps, Machine learning /by Konrad Budek and Rafał MolakA trigger-based alert in infrastructure management is currently insufficient to keep operations smooth and uninterrupted. AI-powered IT operations deliver smart alerts that not only improve a team’s ability to respond swiftly but can also deliver significant automation.
AIOps Network Traffic Analysis (NTA) – a business guide
/in Big data & Spark, Machine learning /by Konrad BudekNetwork Traffic Analysis (NTA) is a key component of modern cybersecurity in companies. With machine learning and artificial intelligence solutions, the sheer amounts of data to analyze is an asset to be used rather than, as was once the case, a challenge to overcome.
Five AI trends 2020 to keep an eye on
/in Deep learning, Machine learning, Reinforcement learning /by Konrad BudekWhile making predictions may be easy, delivering accurate ones is an altogether different story. That’s why in this column we won’t just be looking at the most important trends of 2020, but we’ll also look at how the ideas we highlighted last year have developed.
What is AIOps – AI for IT operations explained
/in Machine learning /by Andy ThuraiWhere there is a show, there must also be a backstage. The more sophisticated the show, the more powerful the backstage will have to be to support it. IT operations are effectively the backstage of all business.
Trends and fads in machine learning – topics on the rise and in decline in ICLR submissions
/in Machine learning /by Michał Kustosz and Błażej OsińskiICLR (The International Conference on Learning Representations) is one of the most important international machine learning conferences. It’s popularity is growing fast, putting it on a par with such conferences as ICML, NeurIPS or CVPR.
AI Monthly Digest #13 – an unexpected twist for the stock image market
/in Machine learning, AI Monthly Digest /by Konrad Budek and Arkadiusz NowaczynskiSeptember brought us two interesting AI-related stories, both with a surprising social context. Despite its enormous impact on our daily lives, Artificial Intelligence (AI) is often still regarded as too hermetic and obscure for ordinary people to understand.
A business guide to Natural Language Processing (NLP)
/in Data science, Deep learning /by Konrad Budek and Artur ZygadloWith chatbots powering up customer service on one hand and fake news farms on the other, Natural Language Processing (NLP) is getting attention as one of the most impactful branches of Artificial Intelligence (AI).