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Artificial intelligence has reached a threshold. And physics can help it break new ground

Artificial intelligence has reached a threshold. And physics can help it break new ground

For years, physicists have been making major advances and breakthroughs in the field using their minds as their primary tools. But what if artificial intelligence could help with these discoveries? Last month, researchers at Duke University demonstrated that

Exploring the Security Vulnerabilities of Neural Networks

Exploring the Security Vulnerabilities of Neural Networks

Neural networks have remarkable disruptive potential, but this makes their vulnerabilities more concerning. As helpful as these machine learning models can... Neural networks have remarkable disruptive potential, but this makes their vulnerabilities more

Qualitative humanities research is crucial to AI · fast.ai

Qualitative humanities research is crucial to AI · fast.ai

“All research is qualitative; some is also quantitative” Harvard Social Scientist and Statistician Gary King Suppose you wanted to find out whether a machine learning system being adopted - to recruit candidates, lend money, or predict future criminality

How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

Knowledge Graphs have become ubiquitous, we just don’t know it. We experience it every day when we search on Google or watch the feeds that run through our social media accounts of people we know, companies we follow or the content we like. Similarly,

Robot overcomes uncertainty to retrieve buried objects

Robot overcomes uncertainty to retrieve buried objects

For humans, finding a lost wallet buried under a pile of items is pretty straightforward — we simply remove things from the pile until we find the wallet. But for a robot, this task involves complex reasoning about the pile and objects in it, which presents

Why Poor Data Quality is Holding Back Big Data

Why Poor Data Quality is Holding Back Big Data

Remember the old adage, “Garbage in, garbage out”? We can’t expect an algorithm to deliver accurate insights if it is fed with low quality data. Yet, all too often poor data quality only becomes a recognised issue when the algorithm starts delivering

Wanna become Value-driven? Time for a Culture Shift! - DataScienceCentral.com

Wanna become Value-driven? Time for a Culture Shift! - DataScienceCentral.com

I am honored to collaborate on this week’s blog with Fran Willis White, an industry expert on the role of change leadership and employee empowerment to drive cultural transformation.  In collaborating on this blog, I discovered many similarities in the

Darts: Time Series Made Easy in Python

Darts: Time Series Made Easy in Python

Time series simply represent data points over time. They are thus everywhere in nature and in business: temperatures, heartbeats, births, population dynamics, internet traffic, stocks, inventories, sales, orders, factory production — you name it. In

Different Types of Cloud-based Services - Analytics Vidhya

Different Types of Cloud-based Services - Analytics Vidhya

Different Types of Cloud-based Services This article was published as a part of the  Data Science Blogathon . Introduction Cloud computing is one of the fastest-growing IT technologies today. By 2025, 83% of enterprise workloads will be in the cloud.