A smartphone shows the official website of ChatGPT Atlas. A smartphone shows the official website of ChatGPT Atlas. "It'd be really nice to have a service that was sort of just observing your life and proactively helping you when you needed it," said OpenAI CEO Sam Altman in a recent Q&A about OpenAI's plans. This vision is at the heart of a new crop of AI browsers, notably OpenAI's ChatGPT Atlas and Perplexity's Comet. AI browsers differ from traditional browsers in at least two important ways.

Depending on your upbringing, a phone call might seem normal…or alarming overkill. But regardless of when or where you were born, one current universal truth exists: Companies will not call you and ask for your account information or personal information. Disguised under "confirming" your details, fraudsters use this tactic to scam you and gain unauthorized access to your account. The phone calls might sound legitimate, especially with the rapid improvement and accessibility of generative AI tools. So if your caller ID says a company is ringing you, let them roll to voicemail.

The creators of ChatGPT are poised to release a new search product to rival Google, according to reports. The new feature, expected to be confirmed by Microsoft-backed OpenAI on Monday, will allow users to search the web via the popular chatbot. The details of how this will function have not been revealed, but it is likely that the AI will search the web for users and generate results based on what it finds. For example, this could let users ask ChatGPT a question and receive much more detailed answers that cite web sources like Wikipedia or online blogs. If true, it could present the biggest challenge yet to Google's search engine supremacy.

The emergence of tethered drones represents a major advancement in unmanned aerial vehicles (UAVs) offering solutions to key limitations faced by traditional drones. This article explores the potential of tethered drones with a particular focus on their ability to tackle issues related to battery life constraints and data latency commonly experienced by battery operated drones. Through their connection to a ground station via a tether, autonomous tethered drones provide continuous power supply and a secure direct data transmission link facilitating prolonged operational durations and real time data transfer. These attributes significantly enhance the effectiveness and dependability of drone missions in scenarios requiring extended surveillance, continuous monitoring and immediate data processing needs. Examining the advancements, operational benefits and potential future progressions associated with tethered drones, this article shows their increasing significance across various sectors and their pivotal role in pushing the boundaries of current UAV capabilities. The emergence of tethered drone technology not only addresses existing obstacles but also paves the way for new innovations within the UAV industry.

The latest Final Fantasy video game is being scorched for not catering to diversity and identity politics. Final Fantasy XVI is the latest installment of one of the most popular video game series going back to 1987. Despite largely being made by Japanese game developers, many installments of this series, especially in its early days, were influenced by Western European fantasy settings and tropes. While some more recent Final Fantasy games have leaned toward science-fiction, Final Fantasy XVI is a return to form. But being set in a European medieval fantasy setting does not protect it from woke critique.

It is our pleasure to invite you to submit a chapter for inclusion in the “Adversarial Multimedia Forensics” book to be Published by Springer – Advances in Information Security. The submitted chapter should have 15-20 pages of single-space single-column in latex and include sufficient details to be useful for Cybersecurity Applications experts and readers with […]

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Imagine you are the manager of a restaurant. Today happens to be a busy day, and you are now short of manpower to complete the orders from customers. The vegetables need to be washed, the chicken needs to be cut, meanwhile, the dishes need to be done… After the food is cooked, someone also needs to serve the food and collect money from customers. Seeing the to-do list getting longer and longer, now you are feeling a bit anxious: who should you assign to work on what tasks, so that you can complete all the orders within minimum time? The scenario I have just described is actually a scheduling problem by nature.

Some visual recognition datasets have set benchmarks for supervised learning (Caltech101, Caltech256, CaltechBirds, CIFAR-10 andCIFAR-100) and unsupervised or self-taught learning algorithms(STL10) using deep learning across different object categories for various researches and developments. Under visual recognition mainly comes image classification, image segmentation and localization, object detection and various other use case problems. Many of these datasets have APIs present across some deep learning frameworks. I'll be mentioning some of them in this article which can be directly imported and used to train models. Cifar(Canadian Institute of Advanced Research) is a subset of 80 million tiny images dataset which has been collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.

BEGIN ARTICLE PREVIEW: Some visual recognition datasets have set benchmarks for supervised learning (Caltech101, Caltech256, CaltechBirds, CIFAR-10 andCIFAR-100) and unsupervised or self-taught learning algorithms(STL10) using deep learning across different object categories for various researches and developments. Under visual recognition mainly comes image classification, image segmentation and localization, object detection and various other use case problems. Many of these datasets have APIs present across some deep learning frameworks. I’ll be mentioning some of them in this article which can be directly imported and used to train models. Cifar(Canadian Institute of Advanced Research) is a subset of 80 million tiny images dataset which has been collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. Dataset can be found on the official website of the Computer Science department of the University of Toronto.  California Institute of Technology