The recognition is for a 2005 paper titled “Agnostically Learning Halfspaces,” which Klivans co-authored with Adam Tauman ...

AI investor jitters are sharp and pronounced elsewhere. Chipmaker Broadcom, which reported quarterly earnings on Friday with ...

In early 2025, Google launched Gemini 2.0, an AI co-scientist designed to act as a virtual collaborator for biomedical ...

Ibegbulem Alexander did not earn the moniker “chairman” by presiding over the affairs of any of Nigeria’s 774 local ...

From PSIM’s rise and fall to the emergence of integration alliances, connected intelligence, and agentic AI, the physical ...

Most recently, successful, more transparent AI language models came from Chinese developers. With Nemotron 3 Nano, Nvidia is ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

At ELRIG 2025 in Stevenage, AstraZeneca’s Global Leader for Flow Cytometry, Dr Raffaello Cimbro, outlined how imaging flow ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.