Planned investments of $40 billion in 14 APEC economies are projected to generate $45 billion for the U.S. GDP through adoption of American AI technologies and high-value job creation.
Amazon ties massive job cuts to rise of artificial intelligence
CNBC Daily Open: It's a boom, it's a bubble, it's still not enough for investors: It's AI
Investors can’t get enough of AI, despite worries over high valuations — and tech companies can’t get enough of each other, either.
As Amazon lays off 14,000, some employees worry more cuts loom
Amazon employees grapple with layoffs and worry that more may be looming.
The AI job cuts are here
Amazon’s latest cuts fed into anxiety about AI replacing workers. But some are sceptical that recent layoffs are a telling sign of how AI is affecting employment.
Redmond police use new artificial intelligence technology to help solve crimes
‘Silicon Valley’ star Thomas Middleditch makes a surprise appearance at TechCrunch Disrupt 2025
Actor Thomas Middleditch had a planned takeover of Australian startup Othelia’s presentation at the pitch showcase stage.
Billionaire Philippe Laffont Just Changed His Mind on This Artificial Intelligence (AI) Stock, Adding It to His List of Top Picks
Artificial intelligence is proving to be more of a benefit than a challenge for this internet giant.
Individual innovativeness levels and levels of medical artificial intelligence readiness among nursing students: a cross-sectional and correlational study
Aim This study, aimed to determine the individual innovativeness levels of nursing students and their readiness levels for medical artificial intelligence and the relationship between these two variables. Background A healthcare team with innovative personality traits is essential for the effective use of artificial intelligence in healthcare. It is important to determine the perspectives of nursing students, who are among the most crowded members of the team and whom we define as the nurses of the future, in this direction. Design The research was designed as descriptive and correlational. Method The research data were collected by the researcher between March 1 and May 1, 2023. The study included 1st, 2nd, 3rd and 4th year nursing students studying at two universities in Anatolia. Data were collected with a reliable online survey method. The sample selection procedure was based on the sampling of the known population method. The study was conducted with 781 nursing students using a cross-sectional and correlational study method. The data were collected using the Personal Information Form, Individual Innovativeness Scale and Medical Artificial Intelligence Readiness Scale. The conformity of the data to the normal distribution was made by using skewness and kurtosis values and the range of + 2 and − 2 was taken as reference. Significance level p
Artificial intelligence and the Gulf Cooperation Council workforce: adapting to the future of work
Humanities and Social Sciences Communications – Artificial intelligence and the Gulf Cooperation Council workforce: adapting to the future of work
