April, 2025

April, 2025

Critical ASUS router bug lets hackers in remotely
ASUS has released a patch for a critical-severity vulnerability, tracked as CVE-2025-2492, affecting certain routers with AiCloud enabled. This flaw, rated 9.2/10, allows threat actors to execute func...

Hisense unveils its new AI smart home solutions Canton Fair
Hisense, a global leader in consumer electronics and home appliances, unveiled its latest AI-powered innovations at the 137th Canton Fair in Guangzhou, China, under the theme “AI Your Life.” The b...

Categorical variables
Categorical variables are an integral part of many datasets, especially in machine learning applications. These variables help in classifying data into distinct categories, providing insight into rela...

Binomial distribution
The binomial distribution is a fascinating aspect of probability theory that allows us to model situations where there are two potential outcomes: success or failure. It provides a framework for under...

Prompt injection
Prompt injection is an emerging concern in the realm of cybersecurity, especially as AI systems become increasingly integrated into various applications. This nuanced attack vector particularly target...

Machine vision
Machine vision is transforming industries by providing the ability to interpret visual information automatically, increasing efficiency and precision across various applications. With advancements in ...

Neural network tuning
Neural network tuning is a fascinating area within deep learning that can significantly impact model performance. By carefully adjusting various parameters, practitioners can enhance the accuracy and ...

Classification thresholds
Classification thresholds are vital components in the world of machine learning, shaping how the outputs of predictive models—specifically their probabilities—translate into actionable decisions. ...

Regularization algorithms
Regularization algorithms play a crucial role in enhancing the performance of machine learning models by addressing one of the most significant challenges: overfitting. When models become too complex,...

LLM Jacking
LLM jacking is a growing concern as the capabilities of large language models (LLMs) expand. As these models become increasingly integrated into various applications—from customer service chatbots t...

July

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B&T Television

July