The automotive past is often recalled fondly. A fender bender was a nuisance, certainly, but the required repair was relatively predictable. The fix generally involved a new bumper cover, some paint ...

President Donald Trump’s proposed Ukraine peace plan has set off a political shockwave across Kyiv and Western capitals, exposing deep divisions over whether the grinding war can – or should – be ...

Crafting clear mission and vision statements is critical to shaping company identity, motivating employees and guiding decision-making. A mission statement defines the current scope and purpose of the ...

US PRESIDENT Donald Trump’s announced visit to Beijing in April 2026 marks a key moment in the evolving dynamic between the world’s two largest economies. Following a phone call on Nov 24, Trump’s ...

The November 24 phone call between US President Donald Trump and Chinese President Xi Jinping signals more than a temporary pause in bilateral tensions. Amid heightened pressures over Taiwan, the ...

“It’s been devastating,” the 78-year-old singer told Variety in a profile released on Tuesday. “I lost my [vision in my] right eye and my left eye’s not so good, the last 15 months have been ...

Elton John has spoken about how his celebrity friends such as Paul McCartney and Mick Jagger often check in with him as he deals with losing his sight in one eye. The music star said he “lost my right ...

Sir Elton John has admitted the last 15 months have been 'challenging' amid his battle with his eyesight. The 78-year-old music legend contracted a severe eye infection in July last year that left him ...

Sir Elton John has revealed he is contending with significant vision loss, sharing that his celebrity friends, including Sir Paul McCartney and Sir Mick Jagger, frequently check in on his wellbeing.

Abstract: As key components of rotating machinery, bearings continually encounter new fault classes in industrial applications. However, the existing deep learning-based diagnosis methods are limited ...

Abstract: Most visual recognition studies rely heavily on crowd-labelled data in deep neural networks (DNNs) training, and they usually train a DNN for each single visual recognition task, leading to ...