International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

BofA Securities 2026 Information & Business Services Conference March 12, 2026 2:15 PM EDTCompany ParticipantsAdam ...

“Unfortunately, we were a little bit ahead of our time,” Sumit Kapur tells The Next Platform, saying that in the later years of the last decade, quantum systems hadn’t advanced much and it was unclear ...

Abstract: Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular ...

Across the world, conversations around Multimodal AI are gaining momentum. Researchers, technology leaders, and industry innovators are beginning to recognize it as the next major frontier of ...

Around 40,000 years ago, Paleolithic people inscribed bone with symbols that appear to be part of some sort of writing system.

There's nothing more frightening than a group of young Republicans and a group chat they they don't think anyone else will see.

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

The other day, my niece asked if she could see something I have in my basement. A simple question, yet I found myself stuttering through flimsy excuses to avoid revealing what’s happening in the ...