Tech

AI can Track Unsafe Food by Surveying Customer Reviews

Published

7 years ago

August 20, 2019

The researchers from Boston University developed a new AI, called BERT, that detects unsafe food. This AI uses Amazon customer reviews to tell which food is safe and which isn’t. Its accuracy is about 74% which isn’t too bad to begin with.

It detects any food that’s contaminated with chemicals, toxins, pathogens. After eating unsafe food, many of the people become ill, this AI prevents that from happening. Taking into consideration the global health program, the researchers arrived at this AI Program that uses world’s largest online retailer to help detect unsafe food items.

It follows an elaborate process. The developers of the AI linked the Amazon.com food reviews with the AI BERT(Bidirectional Encode Representation from Transformations). The 1,297,156 reviews from Amazon.com linked with the food products made it easy for the users.

Dr. Elaine Nsoesie, the assistant professor of global health at BUSPH informed that- “Health departments in the US are already using data from twitter, yelp and Google for monitoring foodborne diseases.”

The unsafe food products are a global food threat. And BERT is an intelligent way to deal with it. The WHO reports that about 600 million people suffered from illness because of contaminated food. BERT helps to track the unsafe food products and help generate food recalls.

Now the developers want to take the AI up a notch by adding not just reviews from Amazon, but product reviews from other websites and social media as well, like Twitter, Facebook. This way any product labelled foul or rotten , or anything bad gets the unsafe tag.

It isn’t the first time researchers used social media platforms for reviews. Many health organisations monitor food products by referring to the social media as well. Surveillance of food products is important and BERT is in the game to do play its role. The researchers said that BERT will stop any foodborne disease outbreaks and prevent illness and deaths.

Tech

Evo Tech Reveals New Features for Evolution AI to Improve Threat Detection

Published

40 mins ago

April 1, 2026

Jonathan Grilli

Photo Courtesy of: Evo Tech

Byline: Mae Cornes

MADISON, Wis— Evo Tech announced new updates to its flagship platform, Evolution AI, designed to enhance threat detection and real-time data analysis for intelligence, security, and law enforcement agencies. The upgraded system introduces expanded capabilities in pattern recognition, automated alerts, and data aggregation to improve response accuracy in critical operations.

The company’s latest release focuses on enabling faster identification of potential threats across multiple data streams, including text, imagery, and audio inputs. By combining adaptive machine learning models with advanced verification tools, Evolution AI now provides a more precise and scalable method for detecting irregular or suspicious activity.

“Security challenges are growing more complex as data sources multiply,” said Maria Pulera, Evo Tech’s representative. “Our goal with these new features is to help agencies detect threats earlier and reduce the time between data discovery and action. These tools are built to support real-world decision-making in fast-moving environments.”

Among the new enhancements are:

Automated Threat Classification: The platform can now categorize potential risks based on severity and relevance, allowing analysts to prioritize investigations more effectively.
Cross-Platform Data Fusion: Evolution AI aggregates data from both structured and unstructured sources, presenting analysts with unified, real-time insights across visual, audio, and textual inputs.
Adaptive Anomaly Detection: Using machine learning, the platform learns from historical data to recognize unusual activity patterns and flag potential security concerns automatically.
Enhanced Visualization Tools: New dashboard designs allow users to view correlations, track trends, and monitor data sources simultaneously with improved clarity.

Evo Tech’s development team designed these upgrades to help intelligence and defense organizations address increasing information volume and data fragmentation. According to industry reports, global data generation is expected to exceed 175 zettabytes annually by 2026, underscoring the need for advanced analytical tools that can handle large-scale, multi-format data securely.

Pulera added, “Our technology aims to reduce the manual burden on analysts while maintaining the highest standards of data integrity. We’ve focused on features that allow agencies to operate more efficiently without compromising security.”

The company’s engineering team also confirmed that Evolution AI’s infrastructure supports deployment in secure, private networks, aligning with the data protection requirements of defense and intelligence clients. Evo Tech plans to continue rolling out additional modules throughout 2025, with a focus on multilingual data analysis and predictive threat modeling.

Evo Tech’s latest updates come as governments and private institutions invest heavily in AI-driven security technologies. Market forecasts from MarketsandMarkets estimate that AI in defense and security applications will surpass $13 billion by 2028, reflecting a growing global emphasis on automation and early threat detection.

About Evo Tech
Evo Tech is an artificial intelligence company specializing in data analysis and intelligence automation for security and defense operations. Its flagship platform, Evolution AI, integrates machine learning, big data processing, and adaptive analytics to enhance decision-making in high-volume, high-security environments. The company’s mission is to deliver reliable, real-time solutions that strengthen operational efficiency and intelligence accuracy across the public and private sectors.

Contact Information:

Maria Pulera, Representative

EVO Tech

https://evoai.tech/

[email protected]