In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

A new study reveals that AI hate speech moderation systems are profoundly inconsistent. Different models classify identical content differently, especially for specific demographic groups, resulting ...

A fresh inflation reading a day earlier showed an uptick in price increases. Consumer sentiment dampened in September, extending a decline from the previous month as government data showed a hiring ...

US consumer sentiment continued to slide in September as Americans worried about their jobs and inflation. The University of Michigan’s preliminary Survey of Consumers showed that overall sentiment ...

Mixed options sentiment in Applied Digital Corp (APLD), with shares down 38c near $13.95. Options volume roughly in line with average with 38k contracts traded and calls leading puts for a put/call ...

BTC $112.268,98 steadied near $111,600 on Friday morning, showing relative resilience even as macro jitters pulled global risk assets lower. ETH $4179,15 slipped 0.7% to $4,330 while Solana’s SOL (SOL ...

Amgen's bemarituzumab trial has taken a turn, with a final analysis showing weaker survival benefits than previously found in an earlier pre-specified interim analysis. In June, Amgen and China ...

Short interest is the number of shares that have been sold short but have not yet been covered or closed out. Short selling is when a trader sells shares of a company they do not own, with the hope ...

Consumer sentiment dipped at the end of August, declining roughly 6% from July. The University of Michigan’s consumer sentiment index inched down to a reading of 58.2, slightly lower than the ...

Sentiment falls more than expected to -23.6 points Firms cautious on staff as economy struggles, says Ifo HDE retail association asks Berlin for quick relief BERLIN, Aug 27 (Reuters) - Sentiment among ...

The project aims to analyze public opinion on the Russia-Ukraine war by classifying tweets into two categories: Support for Ukraine and Support for Russia, and further evaluating the sentiment ...