Fraud Detection and Risk Assessment: Real-time transaction monitoring powered by machine learning can identify suspicious patterns that rule-based systems miss. But here's the critical part: the ...

Signal Financial Analyser is a Python Streamlit application that blends financial sentiment analysis with stock market data. It scrapes Reddit posts, processes text using FinBERT (finance-specific ...

In crypto’s fast-moving world, traders have long relied on charts, such as candlesticks, Fibonacci lines and Bollinger Bands, to interpret price action. But a quiet shift is underway. Instead of ...

Abstract: Macroeconomic factors, investor sentiment, and market trends have a role to play in predicting stock prices, as evident in the financial markets. There is complexity, and challenges remain ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

The VP of engineering at a leading technology company stared at the quarterly adoption metrics with growing frustration. Twelve months after rolling out a state-of-the-art AI coding assistant—a tool ...

Unlike the West, where universities are still agonizing over how students use AI in their work, top universities in China are going all in. Just two years ago, Lorraine He, now a 24-year-old law ...

Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials are able to learn important details about nuclear events such as explosions ...

Last year, Google introduced “AI Overviews,” a feature that displays an artificial intelligence-generated result summary at the top of many Google search pages. This feature is available to millions ...