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Accuracy

AI Algorithm Predicts Future Crimes One Week in Advance With 90% Accuracy

A new algorithm forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. It can predict future crimes one week in advance with about 90% accuracy.A new computer model uses publicly available data to predict crime accurately in eight cities in the U.S., while revealing increased police response in wealthy neighborhoods at the expense of less advantaged areas.Advances in artificial intelligence and machine learning have sparked interest from governments that…

This AI Tool Is Biased but Still Can Predict Crime Locations with 90% Accuracy

Crime prediction techniques have often been under scrutiny because they lack objectivity by virtue of ingrained biases Artificial intelligence is gradually catching up with advanced policing, pricking the interests of Governments. Who wouldn’t want to have policing tools in their armor for the rate of crime is only seeing an uptick with every passing day? Crime prediction techniques have often been under scrutiny because they lack objectivity by virtue of ingrained biases. Given the facets and subjectivity…

‘Harry Potter’ Fan Questions the Accuracy of the Goblet of Fire

Screengrab via Warner Bros. The Harry Potter series might have concluded a decade ago but fans are still questioning different aspects of the Wizarding world and today The Goblet of Fire has taken the spotlight. In a thread on the Harry Potter SubReddit, one fan pointed out an obvious flaw in the Goblet’s participant selection process that could have potentially led to countless wizards falling in the same situation Harry was in. The post titled “The Goblet of Fire is not very specific, is it?” details the fact…

The Open Loop of ML — Part 2. Why model accuracy is a deceptive… | by Devesh Rajadhyax | Jun, 2022

Why model accuracy is a deceptive metricThe first part of this series was about the psychology of ML developers. The ‘accuracy’ metric associated with model development provides a mental closure to the model builders. However, the accuracy metric is the outcome of the model training process, and it has little bearing on the usefulness of the model in the real world. I have proposed that the artificial closure is a major reason for the discrepancy between the number of prototypes and actual working ML systems.After the…

New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Jun, 2022

A new era for protein designThis new software from the Baker laboratory designs proteins that actually work in the wet lab. And you can use it to design your own proteins too, right online.This was going to happen, and I expected the Baker lab to be the first group to report it. But honestly I didn’t expect it to happen so quickly:Reverse an AlphaFold-like neural network to feed it 3D structures and obtain from it protein sequences that fold accordingly. This by itself didn’t turn out to work quite well, but it inspired…

There’s a Secret to Being ‘Decisive’ That Has Nothing to Do With Accuracy

Decisiveness is about making calls quickly and efficiently – even if those choices aren't always the correct ones. A new study looked at the relationship between confidence and decisiveness, finding that decisive people tend to be more confident about the decisions they've made.  On the other end of the spectrum is indecision, a distinct inability to work out a way forward or to commit to a particular path. In the study, even if both groups had made the right choices, those who second-guess themselves were less confident…

Increasing Accuracy of Sentiment Classification Using Negation Handling | by Utkarsh Lal | May, 2022

A novel approach towards increasing accuracy of Sentiment Classification quickly and efficientlyPhoto by Tengyart on UnsplashThe layperson’s notion is that the accuracy of a Sentiment Classification model is mainly dependent on the quality and functionality of the ML/DL model itself. However, this is not entirely true. The quality of the data and its usability for a model is the main defining characteristic of any prediction driven task. Data Scientists all over the world spend at least 80% of their time in Data Wrangling…

On “comics accuracy” and adaptations

The Beat’s Gregory Paul Silber has been accused of having a bit of an… obsessive personality. Each week in Silber Linings, he takes a humorous look at the weirdest, funniest, and most obscure bits of comics and pop culture that he can’t get out of his head. When it comes to comic book adaptations, a phrase you see thrown around a lot if you follow geek fandom is “comics accuracy.” Usually it’s used to refer to the adapted version of a character’s visual fidelity to their comic book source material, such as a recognizable…

Apple Watch Series 6, Other Wearables Show Poor Accuracy While Tracking Calories: Research

Apple Watch Series 6 along with Polar Vantage V and Fitbit sense were put to test during a recently conducted research by a team of researchers from the Université du Québec à Montréal. These researchers sought to assess the accuracy of these wearables for measuring energy expenditure and heart rate. For this research, the Polar H10 chest strap and the MetaMax 3B spiroergometer were used as reference devices. 60 young individuals were chosen, which included 30 men and 30 women around the age of 25 years.The research…