Category: AI Category
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In the race to automate everything – from customer service to code – AI is being heralded as a silver bullet. The narrative is seductive: AI tools that can write entire applications, streamline engineering teams and reduce the need for expensive human developers, along with hundreds of other jobs. But from my point of view…
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Guest author: Or Hillel, Green Lamp Applications have become the foundation of how organisations deliver services, connect with customers, and manage important operations. Every transaction, interaction, and workflow runs on a web app, mobile interface, or API. That central role has made applications one of the most attractive and frequently-targeted points of entry for attackers.…
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Google DeepMind has deployed a new AI agent designed to autonomously find and fix critical security vulnerabilities in software code. The system, aptly-named CodeMender, has already contributed 72 security fixes to established open-source projects in the last six months. Identifying and patching vulnerabilities is a notoriously difficult and time-consuming process, even with the aid of…
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Choosing the right text representation is a critical first step in any natural language processing (NLP) project. Source link
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Usually shrouded in mystery at first glance, Python decorators are, at their core, functions wrapped around other functions to provide extra functionality without altering the key logic in the function being “decorated”. Source link
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Selecting the right model is one of the most critical decisions in any machine learning project. Source link
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You’ve loaded your dataset and the distribution plots look rough. Source link
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Reuters recently published a joint experiment with Harvard, where they asked popular AI chatbots like Grok, ChatGPT, DeepSeek, and others to craft the “perfect phishing email.” The generated emails were then sent to 108 volunteers, of whom 11% clicked on the malicious links. With one simple prompt, the researchers were armed with highly persuasive messages…
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The roar of 80,000 fans at Shanghai Stadium on September 21, 2025, wasn’t just about the football match between Shanghai Shenhua and Chengdu Rongcheng – it was also a live demonstration of how telecom carriers are tackling one of their most pressing challenges: converting advanced network capabilities into revenue. Huawei brought international media to witness…
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A study from MIT (Massachusetts Institute of Technology) has found that the human brain not only works less hard when using an LLM, but its effects continue, negatively affecting mental activity in future work. The researchers used a limited number of subjects for their experiments (a limitation stated in the paper [PDF]), who were asked…