Biomedical Image Analysis and Machine Learning

These techniques help in the understanding of the disease as well as initiation and evaluation of ongoing treatment. Apart from this, the dataset of these images is used in further analysis of such diseases occurring around the world as a whole.

Search in Artificial Intelligence

Search is a key part of many AI problem-solving strategies that assist in exploring the problem spaces. As explained by Peter Norvig “Normal programming is telling the computer what to do when we know what to do. AI is when we tell the computer what to do when we don’t know what to do.”

Anomaly Detection in Machine Learning: Classification Algorithms vs Anomaly Detection

Anomaly simply means something unusual or abnormal. We often encounter anomalies in our daily life. It can be suspicious activities of an end-user on a network or malfunctioning of equipment. Sometimes it is vital to detect such anomalies to prevent a disaster.

Understanding Supervised Machine Learning

Machine learning is about using data to build intelligent artefacts that learn over time. It involves collecting and analysing large amounts of data to extract information using various computational structures and algorithms.

Storage Analytics is becoming more complex – can AI and ML help?

Physical servers and storage equipment are a data center reality. How can we ensure that the workloads are distributed correctly across this infrastructure?AI and Machine Learning can come to the rescue here as well. With these technologies, data centers can distribute workloads equally and efficiently across these servers.

7 Sectors that are getting transformed by AI

There’s no longer any room for doubt that AI is transforming how the world operates. The effect of AI will only become more and more pronounced. Experts predict that the use cases of the future will be no different from the stuff sci-fi movies are made off. The question is, how will it disrupt your business model?

A Honest Look – Can AI Help Us Build Better Software Products?

The software development industry sure has changed. We used “waterfall” to build software products in a phased, sequential manner. Then the Software Development Life Cycle started becoming less relevant. From Agile and DevOps to automated testing, and mobile and cloud technology –disruption hit the software development process.

Where AI and ML Meet – and where they diverge

Simple explanations of Machine Learning and Artificial Intelligence, and how they’re related… but not at all the same thing.

Evolvement of Kubernetes to Manage Diverse IT Workloads

This article talks about how Kubernetes has emerged from container orchestration platform to manage complex workloads in AI and Machine Learning Stacks, Managing containers in NFV architecture and handling hardware GPU resources.

[Infographic] Gartner’s Top 10 Strategic Technology Trends for 2019

Infographic on Gartner’s tech trends 2019