OpenAI, SoftBank, and Oracle have announced a new venture, Stargate, through which they aim to build a massive AI infrastructure network across the United States. The initiative, which was announced at the White House with President Donald Trump, has been described as the "largest AI infrastructure project in history."
What should schools and districts expect from the evolving landscape of artificial intelligence in the coming year? Here's what the experts told us.
A recent study from data protection startup Harmonic Security found that nearly one in 10 prompts used by business users when interacting with generative AI tools may inadvertently disclose sensitive data.
A report commissioned by Microsoft and published last month by research firm IDC notes that 91% of organizations use AI tech and expect more than a 24% improvement in customer experience, business resilience, sustainability, and operational efficiency due to AI in 2024.
The bipartisan House Task Force on Artificial Intelligence recently released a report with recommendations to bolster American leadership in AI.
Forty-one percent of tech executives in a recent international survey said they believe advancements in AI will significantly increase security threats. NetApp's second annual Data Complexity Report points to 2025 as "AI's make or break year."
The School Library Systems Association of New York has created a free resource for PreK-12 educators on building student understanding of artificial intelligence.
"By 2027, AI assistants and AI-enhanced workflows incorporated into data integration tools will reduce manual intervention by 60 percent and enable self-service data management," according to Gartner.
In these days of rampant ransomware and other cybersecurity exploits, security is paramount to both proprietary and open source AI approaches — and here the open source movement might be susceptible to some inherent drawbacks, such as use of possibly insecure code from unknown sources.
Amazon Web Services (AWS) has unveiled Amazon Nova, a cutting-edge suite of foundation models (FMs) for generative AI.