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AI for Ad Revenue Stalls in...

AI for Ad Revenue Stalls in…

In a digital ecosystem where user attention is fragmented and ad-blockers are rising, media companies are finding it harder than ever to maintain let alone grow advertising revenue. Traditional approaches to targeting and monetization are hitting a ceiling, often resulting in flat or declining ROI from digital ad operations. To thrive in today’s fast-evolving media

The Transformative Role of AI in...

The Transformative Role of AI in…

2025 marks a pivotal moment in the integration of artificial intelligence (AI) and cybersecurity. Rapid advancements in AI are not only redefining industries; they are reshaping the cybersecurity landscape in profound ways. Through this evolution, I have noted three primary trends emerging that demand immediate attention from organizations: The amplification of security threats powered by

What are Precision & Recall in...

What are Precision & Recall in…

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To

Data Machina #259 – by Carlos

Data Machina #259 – by Carlos

Prompt Engineering 2.0. Prompt engineering is not going anywhere any time soon. The AI Goliaths have invested 10’s of billions in LLMs & Large Multimodal Models (LMMs), which today -for better or for worse- dominate “modern AI” totally. Due to the way these models were designed and developed, inevitably, to get solid output results from

No rules, just vibes! What is...

No rules, just vibes! What is…

In February, OpenAI cofounder and former Tesla AI director Andrej Karpathy coined a phrase that quickly sparked fascination, debate, and even a small cultural shift in the world of software development: vibe coding. What began as just a post “There’s a new kind of coding I call ‘vibe coding,’ where you fully give in to

AI Laughs At NP-Hardness

AI Laughs At NP-Hardness

The Traveling Salesman Problem (TSP) is NP-Hard. Finding the optimal route to visit even a moderate number of cities would require more computation than what we have available on this planet. See Wikipedia. So why are real traveling salesmen not totally paralyzed? Because they are intelligent. Which means they do not have to be Scientifically

Co-Creating the Future: How AI Is...

Co-Creating the Future: How AI Is…

Artificial Intelligence is no longer just a backend automation tool; it’s becoming a collaborator, a strategist, and a catalyst for redefining the very nature of work. As these thought leaders reveal, AI is not just changing tasks, it’s reshaping what work means, who does it, and how we create value in the modern enterprise. From

If AI Doesn’t Work, then How...

If AI Doesn’t Work, then How…

Forbes reports that “most AI projects fail”; Techrepublic puts the number at 85%. How do we reconcile this reality with claims of AI as representing an “existential threat” such as those from Elon Musk and futurism.com? Often called AGI (Artificial General Intelligence), the idea is a general-purpose, human-like intelligence like Hal from 2001 or the

The Batch Normalization layer of Keras...

The Batch Normalization layer of Keras…

April 17, 2018 Vasilis Vryniotis . 31 Comments UPDATE: Unfortunately my Pull-Request to Keras that changed the behaviour of the Batch Normalization layer was not accepted. You can read the details here. For those of you who are brave enough to mess with custom implementations, you can find the code in my branch. I might

Marek’s Dev Diary: May 22, 2025

Marek’s Dev Diary: May 22, 2025

What is this Every Thursday, I will share a dev diary about what we’ve been working on over the past few weeks. I’ll focus on the interesting challenges and solutions that I encountered. I won’t be able to cover everything, but I’ll share what caught my interest. Why am I doing it I want to

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