
Articles
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6 days ago |
f.mtr.cool | Nahla Davies
Image by Editor | MidjourneyData visualization has become the lingua franca of decision-making in both business and research. Whether it’s a flashy dashboard or a humble Excel chart, the goal is always the same: to transform raw data into insights. But here’s the catch — visuals can lie. Or more accurately, they can mislead. And more often than not, it’s the result of statistical pitfalls that many people overlook or misunderstand.
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1 week ago |
f.mtr.cool | Nahla Davies
Quantization might sound like a topic reserved for hardware engineers or AI researchers in lab coats. But in reality, it sits at the intersection of performance and practicality in modern machine learning. Whether you’re deploying deep learning models on edge devices, optimizing for latency, or simply looking to squeeze more performance out of your architecture, quantization plays a starring role. So what is quantization, exactly?
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1 week ago |
secureworld.io | Nahla Davies
GPU Hosting, LLMs, and the Unseen Backdoor7:58 Big AI runs on big hardware. And right now, that hardware is GPUs—rented, stacked, and spinning 24/7 across cloud infrastructure nobody double-checks until something breaks. Everyone's focused on what LLMs say and do—but not where they live or how they're trained. That backend? It's a mess. And it's wide open. This is the blind spot in modern cybersecurity, as not many of us are aware of how important GPUs are for AI.
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2 weeks ago |
secureworld.io | Nahla Davies
From Supply Chain Breach to Global Disruption: The AnyDesk Hack’s Silent Shockwave9:51 If you think last year's AnyDesk hack was just another cybersecurity breach to be logged with all the others that happen, you're missing the big picture. This surgical strike undermined the very foundation of remote access security and left countless organizations scrambling.
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3 weeks ago |
f.mtr.cool | Nahla Davies
Image by Editor | MidjourneySurveys can be powerful tools as long as you’re asking the right questions. But a poorly crafted question can skew your data, lead to ambiguous results, or even drive respondents away. Whether you’re just starting or you’re a seasoned data scientist looking to refine your craft, understanding these pitfalls will help you create surveys that truly capture the voice of your audience. With that in mind, here are the types of questions you should never ask in your surveys. 1.
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