Top Trends: Highlights from the World of Data News

In the ever-evolving world of technology, several groundbreaking developments have been announced recently. Here's a round-up of some of the most intriguing innovations that are set to reshape our lives.

LinkedIn, the professional networking platform, has taken a significant step towards ensuring fairness in machine learning workflows. They have open-sourced a tool called LiFT (LinkedIn Fairness Toolkit), which will allow developers to measure and mitigate biases in their algorithms.

Meanwhile, researchers at the University of Michigan-Ann Arbor have unveiled a smart water monitoring system called Open Storm. This innovative system uses Internet-connected sensors to collect data about rainfall, water quality, water flow, and soil moisture from drainage infrastructure. The University of Texas is already leveraging Open Storm to monitor water levels along roadways and alert motorists in the event of flooding.

For cycling enthusiasts, the Tour de France organisers are incorporating technology in an exciting new way. Fans can now use an AR app to virtually experience the race from a bird's-eye view and explore scenic routes. Additionally, machine learning is being used to make predictions about a rider's performance for each stage in the race.

In a significant breakthrough for healthcare, three AI algorithms have been confirmed to be as accurate as trained radiologists in detecting breast cancer from mammograms. This development could potentially revolutionise the early detection and treatment of breast cancer.

Lastly, Carnegie Mellon University and Allies for Children in Pennsylvania are utilising AI to increase the efficiency of school bus food deliveries for students reliant on meal programmes. By optimising routes and schedules, this innovation aims to ensure that no child misses out on a nutritious meal.

These advancements underscore the transformative power of technology and its potential to address some of the most pressing challenges we face today. From ensuring fairness in machine learning models to improving healthcare and transportation, the future looks promising indeed.