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How ancient tech is thwarting AI cheating in the classroom

PCWorld

Nearly two years ago, ChatGPT's AI writing powers set off a firestorm in classrooms. How would teachers be able to determine which assignments were actually authored by the student? A host of AI-powered services answered the call. Today, there are even more services promising to catch AI cheaters. "My hand cramped up so much," my eldest son complained about his AP World History course he took last year, and the requirement to handwrite all papers and tests because of AI concerns.


How do deepfakes work Face Swapping and Facial Manipulation ?

#artificialintelligence

Artificial intelligence (AI) and machine learning (ML) is providing the innovative technology to develop various automated models, system, applications and machines for various fields. But few people take advantage of such technology and misuse for fun or to gain popularity or take revenge from others. Deepfake is the invention of some wicked minded people who use AI to create the fake videos of celebrities and popular personalities. And, now it is mainly used in pornographic industry to show the face of popular actress on adult stars to gain the number of views on adults or malicious websites. Though, Deep fake is also created in revenge to defame the personality of the popular person.


Gun Sales Surge Again, But This Time, AI-Powered Video Surveillance Companies Are Watching - Times Of Entrepreneurship

#artificialintelligence

The coronavirus pandemic is having a peculiarly American side effect: Gun sales are surging. The stocks of publicly traded guns and ammo companies American Outdoor Brands Corp., Vista Corp., and Sturm Ruger & Co. are up. Sales leaped by more than 19% in January and 17% in February, compared with the same months in 2019, according to Small Arms Analytics & Forecasting. Gun buyers in the United States bought an estimated 1.24 million guns in, January up from 1.04 million the year before, and 1.36 million in February, up from 1.26 million the year before, according to Small Arms Analytics, which bases estimates on background check data. Those millions of new guns are in addition to the approximately 400 million guns American already own.


Xilinx Alveo Accelerators Power SK Telecom's Real-Time AI-based Physical Intrusion and Theft Detection Service

#artificialintelligence

Xilinx, Inc. (NASDAQ: XLNX) and SK Telecom (NYSE: SKM) today announced that SK Telecom has adopted Xilinx Alveo Datacenter Accelerator cards to power a real-time AI-based physical intrusion and theft detection service. SK Telecom's AI inference accelerator (AIX) implemented on Xilinx Alveo cards provides efficient and accurate physical intrusion detection using deep neural networks. SK Telecom's AI-based physical intrusion detection service, T viewTM, monitors hundreds of thousands of customers' commercial and home camera systems in real-time and dispatches security guards under physical intrusion circumstances. Processing a large volume of data from thousands of cameras using deep neural networks necessitates a powerful AI accelerator that can provide enough throughput and accuracy. T view uses SK Telecom's AI inference accelerator (AIX), implemented on Xilinx Alveo U250 cards.


Time-Series Anomaly Detection Service at Microsoft

Ren, Hansheng, Xu, Bixiong, Wang, Yujing, Yi, Chao, Huang, Congrui, Kou, Xiaoyu, Xing, Tony, Yang, Mao, Tong, Jie, Zhang, Qi

arXiv.org Machine Learning

Large companies need to monitor various metrics (for example, Page Views and Revenue) of their applications and services in real time. At Microsoft, we develop a time-series anomaly detection service which helps customers to monitor the time-series continuously and alert for potential incidents on time. In this paper, we introduce the pipeline and algorithm of our anomaly detection service, which is designed to be accurate, efficient and general. The pipeline consists of three major modules, including data ingestion, experimentation platform and online compute. To tackle the problem of time-series anomaly detection, we propose a novel algorithm based on Spectral Residual (SR) and Convolutional Neural Network (CNN). Our work is the first attempt to borrow the SR model from visual saliency detection domain to time-series anomaly detection. Moreover, we innovatively combine SR and CNN together to improve the performance of SR model. Our approach achieves superior experimental results compared with state-of-the-art baselines on both public datasets and Microsoft production data.


Alphabet's new 'moonshot' spinoff Chronicle uses machine learning for threat detection - SiliconANGLE

#artificialintelligence

Google parent Alphabet Inc. has spun off its latest "moonshot" company from its X Labs in the form of Chronicle Inc., a company that uses machine learning to assist in detecting cybersecurity intrusions. Unheard of until today -- unlike previous Alphabet X alumni such as former Google Car project Waymo Inc. -- Chronicle aims to simplify the lives of cybersecurity and information technology professionals. It's offering two services: a security intelligence and analytics platform for enterprises and VirusTotal, a malware and virus scanner Google acquired in 2012. The company claims to use machine learning to detect intrusions more quickly than existing solutions, cutting the time it takes to stop a breach. "The information that security teams need to identify and investigate attacks is right there in an organization's existing security tools and IT systems, but it's hidden in enormous volumes of data and therefore can't easily be seen, understood, or used," X "Captain of Moonshots" Astro Teller wrote in a Medium post. "Providing better capabilities for finding the patterns in that data might not sound like much, but shrinking the time between when an attack starts and when it's discovered (from a few months to a few hours or days) could reduce a lot of damage."