Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
The Atlanta Journal-Constitution

MARTA’s new bus network promises more frequency, but will test reliability

Addressing bus infrequency, one of regular riders’ chief complaints, is among the top aims of MARTA’s bus network redesign ...

The Best Weekly Running Split for Beginners

Most beginners approach running with a one-speed mindset, go out, jog, repeat. It works for a few weeks, then progress stalls ...
The Business Standard

7 free AI tools that people are using to double their income in 2026

Do you ever feel like you are working incredibly hard but your bank account is standing perfectly still? It is a frustrating spot to be in. Bills pile up, dreams get delayed, and you wonder what the ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
The Daily Dot

Costco jumps on the CEO taste test train to proclaim its hot dogs will be $1.50 forever

Costco CEO Ron Vachris put fast food bosses like McDonald's Chris Kempczinski to bed with his own video eating a $1.50 hot dog. He consumed the whole dog, earning him favorable comparisons to the CEO ...
IEEE

Reinforcement Learning-Based Defense Framework Against Backdoor Attacks in Deep Learning Models

Abstract: Backdoor attacks pose a critical threat to cybersecurity networks. Recent studies have shed light on the use of deep learning (DL) methods to detect and classify these backdoor attacks.
GitHub

Is AgentSquare trained on the test split?

Hi, thanks for releasing this interesting work. I have a quick question about the evaluation protocol: are the search-time data and the final test data separated, or are they the same split / ...
Bleeping Computer

The New Turing Test: How Threats Use Geometry to Prove 'Humanness'

Attackers are increasingly abandoning loud, disruptive attacks in favor of long-term, undetected infiltration. To support this shift toward stealth, malware developers are aggressively advancing their ...