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Artificial Intelligence (AI) and robotics are becoming an integral part of modern life, transforming the way people live, work, and interact with technology. AI-powered robots are no longer confined to factories and research labs; they are now present in homes, hospitals, retail stores, and even on the roads. These intelligent machines are improving convenience, efficiency, and safety, offering new solutions to everyday challenges. From smart assistants to autonomous vehicles, AI robotics is shaping the future of human life in unprecedented ways. AI Robotics in Smart Homes One of the most noticeable impacts of AI robotics is in smart homes. Voice…
What is the Stock Market? At its core, the stock market is a marketplace where buyers and sellers trade ownership in publicly listed companies through the buying and selling of stocks. A stock, also known as a share, represents a small ownership stake in a company. When you buy a stock, you’re purchasing a piece of that company, making you a shareholder. As companies grow and succeed, the value of their stocks tends to rise, offering investors the potential for profit. The stock market operates on exchanges, such as the New York Stock Exchange (NYSE) and the Nasdaq, where stocks…
The Rise of AI Robotics: Transforming Industries Artificial Intelligence (AI) and robotics have become game-changers in various industries, revolutionizing the way businesses operate and enhancing efficiency. The rapid advancement of AI-powered robots is reshaping traditional workflows, increasing productivity, and redefining the future of work. The Evolution of AI Robotics AI robotics is the fusion of artificial intelligence and robotic automation, enabling machines to perform complex tasks that previously required human intelligence. Over the past few decades, improvements in machine learning, computer vision, and natural language processing have allowed robots to adapt, learn, and execute tasks with unprecedented precision. What was…
European stocks are enjoying an unexpected surge that’s driving the largest wave of block trades in the region this century—and bankers expect this trend to continue. According to Bloomberg data, nearly $26 billion worth of European stocks were sold via large-scale transactions in 2025. Deals ranged from Pfizer’s finalization of its exit from Haleon Plc to governments offloading crisis-era stakes in banks. Initially, many strategists anticipated European equities would lag behind their U.S. counterparts, burdened by weak growth prospects and concerns over U.S. tariffs. Instead, Europe’s benchmark is recording its strongest start since 2019, prompting a spate of accelerated bookbuild…
Attackers are actively exploiting a flaw in ChatGPT that redirects users to malicious URLs, with one malicious IP launching over 10,000 exploit attempts in just one week. Researchers at Veriti identified the vulnerability in OpenAI’s ChatGPT infrastructure, assigned CVE-2024-27564 (CVSS 6.5). Despite being rated as a medium-severity risk, the flaw is already in active use by cybercriminals. Veriti’s analysis revealed that 35% of the affected organizations were exposed due to misconfigurations in intrusion prevention systems (IPS), web application firewalls (WAFs), and firewall settings. The attacks are primarily concentrated in the United States, where financial institutions are prime targets, although organizations…
Threat hunters have identified a new threat actor, UAT-5918, that has been targeting critical infrastructure organizations in Taiwan since at least 2023. According to Cisco Talos researchers Jungsoo An, Asheer Malhotra, Brandon White, and Vitor Ventura, UAT-5918 appears to be motivated by the goal of establishing long-term access for information theft. The group employs a mix of web shells and open-source tools to carry out post-compromise activities, enabling them to maintain persistent access within victim environments for credential harvesting and further data exfiltration. Targeted Sectors Beyond critical infrastructure, UAT-5918 has also directed its attacks toward other sectors, including information technology,…
The supply chain attack leveraging the GitHub Action “tj-actions/changed-files” began as a focused assault on one of Coinbase’s open-source projects before rapidly escalating into a broader incident. According to a report from Palo Alto Networks Unit 42, the initial payload targeted the continuous integration/continuous deployment (CI/CD) pipeline of Coinbase’s open-source project, agentkit. The goal appeared to be to use the breach as a stepping stone for further intrusions, though the attackers did not succeed in extracting Coinbase secrets or publishing any packages. The incident was first identified on March 14, 2025, when it was discovered that “tj-actions/changed-files” had been compromised…
DeepSeek has taken the digital world by storm. Chinese AI lab DeepSeek captured global attention this week after its chatbot app skyrocketed to the top of both the Apple App Store and Google Play charts. With its compute-efficient AI models, the startup has sparked debate among Wall Street analysts and technologists alike—raising concerns about whether the U.S. can maintain its edge in the AI race and if the demand for AI chips will remain strong. The Origins of DeepSeek DeepSeek is backed by High-Flyer Capital Management, a Chinese quantitative hedge fund known for using AI to drive its trading strategies.…
In a July blog post, Meta CEO Mark Zuckerberg stated that “selling access” to Meta’s openly available Llama AI models “isn’t [Meta’s] business model.” However, a newly unredacted court filing reveals that Meta does earn revenue from Llama through revenue-sharing agreements. The court document—submitted by attorneys for the plaintiffs in the Kadrey v. Meta copyright lawsuit, which alleges that Meta used hundreds of terabytes of pirated e-books to train its Llama models—discloses that Meta “shares a percentage of the revenue” generated by companies hosting its Llama models with the platform. While the filing does not specify which hosts are contributing…
In collaboration with Google, the Computer History Museum (CHM) has made a significant piece of AI history available to the public by releasing the original source code for AlexNet on CHM’s GitHub repository. What Is AlexNet? AlexNet is a pioneering artificial neural network designed for image recognition. Developed in 2012 by University of Toronto graduate students Alex Krizhevsky and Ilya Sutskever under the guidance of Geoffrey Hinton, this network set the stage for the modern deep learning revolution in AI. The Birth of Deep Learning Geoffrey Hinton is often hailed as one of the founding figures of deep learning—a branch…