This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed that integrates images from the visible spectrum and 660 nm spectral wavelength to enhance accuracy and efficiency in defect classification. The methodology is based on the use of Single-Input and Multi-Inputs convolutional neural networks (CNNs) to validate the proposed strategies. Steps include image acquisition and preprocessing, classification model training, and performance evaluation. Results demonstrate that defect classification using the 660 nm spectral wavelength reveals details not visible in the entire visible spectrum. It is seen that the use of the appropriate spectral range in the classification process is slightly superior to the entire visible spectrum. The MobileNetV1 model achieves an accuracy of 98.80\% on the validation dataset versus the 98.26\% achieved using the entire visible spectrum. Conclusions highlight the potential to enhance the method by capturing images with specific spectral ranges using filters, enabling more effective network training for classification task. These improvements could further enhance the system's capability to identify and classify defects in apples.

Fox News contributor Dr. Marc Siegel weighs in on how artificial intelligence can change the patient-doctor relationship on'America's Newsroom.' Japanese police have admitted that they allowed artificial intelligence (AI) to influence their decision not to provide protective custody to a child who later died in her mother's care. "The AI figures are only for reference," Mie Prefecture Gov. Katsuyuki Ichimi said at a press conference on Tuesday, stressing the importance of the judgment of those in charge. "We are not in a position to draw a conclusion whether the method of utilizing this data used this time was 100% good," indicating he intended to refer the matter to a third-party committee consisting of outside experts to determine further use of the system, Japanese outlet Jiji reported. Police considered the case of a 4-year-old girl in the city of Tsu, running it through an AI program introduced in 2020 and trained with the data of 6,000 to 13,000 cases.

Fox News correspondent CB Cotton has the latest on calls for accountability for social media apps after parents say Snapchat helped facilitate drug sales on'Special Report.' A new artificial intelligence created by Snapchat has allegedly offered some dubious advice to what it thought was a 13-year-old girl, detailing, among other things, how to cover up bruises for a meeting with Child Protective Services (CPS) and how to lie to parents about a trip with a 31-year-old man. Tristan Harris, the co-founder of the Center for Humane Technology, recently posted a Twitter thread highlighting an exchange between colleague Aza Raskin and the new chatbot "My AI." Raskin, who set up the Snapchat account posing as a 13-year-old girl, told the chatbot she had met someone 18 years older than her but conveyed she felt "very comfortable with him." "It's great to hear that you feel comfortable," the chatbot responded, later suggesting the user remain "safe" and "cautious." After revealing that the trip would coincide with her thirteenth birthday, Raskin said she was thinking about having sex for the first time.

Scientists in Hong Kong have developed artificial skin that bruises like the real thing. The material, called I-skin, could be used on artificial limbs to alert users they have damaged their prosthetics. It's embedded with a gel that turns from yellow to welt-like purple when subjected to physical stress. Volunteers wearing strips of I-skin on their fingers, hands and knees repeatedly banged the appendage against a wall, proving the'bruise' would appear if enough force was used. Scientists in Hong Kong have developed an artificial skin that will mimic the discoloration of a bruise if hit hard enough.