Skyrocketing costs of training AI foundation models have made it difficult for academia and government to keep up with industry in AI research and development, according to the Stanford Institute for Human-Centered Artificial Intelligence (HAI).
A new report on the state of AI and security indicates that security pros are cautiously optimistic about AI's potential to enhance threat detection and response.
Study "found that nearly every organization experiences challenges when implementing artificial intelligence (AI), with the top challenge being issues with data quality."
To help colleges and universities envision a better future of data analytics in higher education and provide practical steps to get there, Educause has released a new "Action Plan" for achieving unified data models across the institution.
Enterprises must both securely enable AI productivity tools and also leverage AI to defend against new AI-driven threats, according to a new report from cloud security specialist Zscaler.
In Cengage's annual digital learning pulse survey, roughly 95% of two- and four-year higher education administrators, faculty, and trustees responded that they expect generative AI tools to change their institution over the next five years.
According to a report by IDC, the market for PC systems with specific AI computing capabilities built into the hardware is expected to jump by 60 percent over the next three years.
New research from Malwarebytes ThreatDown analysts shows that 2023 was the "worst year on record" for education, with a 70% increase in known ransomware attacks targeting higher education institutions globally, and nearly half of those in the United States.
Increasing workloads are taking a toll on mental health and morale among teaching and learning professionals in higher education, according to a new Educause survey. Nearly two-thirds of overall respondents (65%) reported having an excessive workload — and the higher the position level, the greater the workload.
According to IBM's 2023 AI Adoption Index survey of enterprise-scale companies worldwide, about the same number (42%) adopted AI early on as those who are still exploring or experimenting with it (40%). But of those who adopted AI early, 59% are accelerating their use or investment in it.
