Companies Keep Slashing Employees' Benefits for the Worst Reasons Workers are getting worse health care, parental leave, and retirement benefits, showing once and for all that your job doesn't love you back. Employee benefits are in the spotlight this week, and that's because of three recent stories about US companies cutting back on non-wage compensations for workers. A Texas tech consulting firm with a forgettable name--TTEC--suddenly became a lot more memorable when it suspended its discretionary 401(k) match program for 16,000 employees through at least the end of 2026. According to Business Insider, which viewed an internal TTEC memo, the company plans to invest in AI certifications, AI tools and training, and automation, among other things. The auditing and consulting giant Deloitte is also reportedly slashing benefits for some workers starting next year.

Humanoid robots are trained in China. The court ruled that the company in Hangzhou had been wrong to fire the worker because AI could do his job. Humanoid robots are trained in China. The court ruled that the company in Hangzhou had been wrong to fire the worker because AI could do his job. A court in China has ruled in favour of a worker whose company replaced him with artificial intelligence (AI), awarding him more than £28,000 in compensation.

Film-maker James Cameron and Disney are being sued by an actress who has accused the director of using her likeness as the basis for one of the lead characters in his hit film series Avatar. German-born US actress Q'orianka Kilcher, who is of indigenous Peruvian descent, alleged that in 2005 - when she was 14 - Cameron extracted her facial features from a photograph of her portraying Pocahontas in another film, The New World. In court documents filed on Tuesday in California, her team claimed Cameron directed his design team to use it as the foundation for the character of Neytiri, depicted on screen by Zoe Saldaña. BBC News has contacted Cameron and Disney for a comment. The Avatar movies contain a hybrid of live-action performance mixed with computer-generated characters.

Evaluating large language models (LLMs) is challenging.

Our insight is that satellite's earth observation photos are not just images

Neural Information Processing Systems http://nips.cc/

In this paper, we propose SAPipe, a performant system that pushes the training speed ofdata parallelism toitsfullest extent.