data
Nuclear Power: The Future To Satisfy Energy-Hungry Data Centres
– Advertisement – As the world’s digital embrace is becoming tighter, power-hungry data centres are fueling an energy crisis to keep up. To sustain, Silicon Valley, AI, and Microsoft are betting big on nuclear power instead. How is this a game-changer? Data centres, the backbone of our digital world, are energy-hungry, consuming massive amounts of…
A Coding Guide to Asynchronous Web Data Extraction Using Crawl4AI: An Open-Source Web Crawling and Scraping Toolkit Designed for LLM Workflows
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within Google Colab. Leveraging the power of asyncio for asynchronous I/O, httpx for HTTP requests, and Crawl4AI’s built‑in AsyncHTTPCrawlerStrategy, we bypass the overhead of headless browsers while still parsing complex HTML via…
DOGE Siphoned NLRB Case Data – Krebs on Security
A security architect with the National Labor Relations Board (NLRB) alleges that employees from Elon Musk‘s Department of Government Efficiency (DOGE) transferred gigabytes of sensitive data from agency case files in early March, using short-lived accounts configured to leave few traces of network activity. The NLRB whistleblower said the unusual large data outflows coincided with…
An In-Depth Guide to Firecrawl Playground: Exploring Scrape, Crawl, Map, and Extract Features for Smarter Web Data Extraction
Web scraping and data extraction are crucial for transforming unstructured web content into actionable insights. Firecrawl Playground streamlines this process with a user-friendly interface, enabling developers and data practitioners to explore and preview API responses through various extraction methods easily. In this tutorial, we walk through the four primary features of Firecrawl Playground: Single URL…
They’re coming for your data: What are infostealers and how do I stay safe?
Here’s what to know about malware that raids email accounts, web browsers, crypto wallets, and more – all in a quest for your sensitive data 16 Apr 2025 • , 6 min. read In the world of cybercrime, information is a means to an end. And that end, more often than not, is to make…
Addressing hardware failures and silent data corruption in AI chips
Meta trained one of its AI models, called Llama 3, in 2024 and published the results in a widely covered paper. During a 54-day period of pre-training, Llama 3 experienced 466 job interruptions, 419 of which were unexpected. Upon further investigation, Meta learned 78% of those hiccups were caused by hardware issues such as GPU…
Is Your Data Storage Strategy AI-Ready?
The adoption of AI has caused an increased need for proper data governance, and companies are now under pressure to ensure data maturity. Globally, many companies are either using or exploring AI, with over 82% actively leveraging or considering AI for business operations. Yet, according to Gartner only 14% of cyber leaders can balance maximizing…
The quiet data breach hiding in AI workflows – Help Net Security
As AI becomes embedded in daily business workflows, the risk of data exposure increases. Prompt leaks are not rare exceptions. They are a natural outcome of how employees use large language models. CISOs cannot treat this as a secondary concern. To reduce risk, security leaders should focus on policy, visibility, and culture. Set clear rules…
New method efficiently safeguards sensitive AI training data
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could…
Salesforce AI Released APIGen-MT and xLAM-2-fc-r Model Series: Advancing Multi-Turn Agent Training with Verified Data Pipelines and Scalable LLM Architectures
AI agents quickly become core components in handling complex human interactions, particularly in business environments where conversations span multiple turns and involve task execution, information extraction, and adherence to specific procedural rules. Unlike traditional chatbots that handle single-turn questions, these agents must hold context over several dialogue exchanges while integrating external data and tool usage….