Nearly one in 10 prompts used by business users when interacting with generative artificial intelligence tools may inadvertently disclose sensitive data, according to a study released by data protection startup Harmonic Security Inc.
Meta AI has announced LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects.
Cloud data platform Snowflake is embarking on an effort to train and certify more than 100,000 users on its AI Data Cloud by 2027. The One Million Minds + One Platform program will provide Snowflake-delivered courses, training materials, and free access to Snowflake software, at no cost to learners.
A new service from Quality Matters, the nonprofit focused on quality assurance in online and innovative digital teaching and learning environments, is designed to help colleges and universities develop a sustainable online learning strategy.
UC Berkeley researchers have introduced Sky-T1-32B, an open source, reasoning-focused language model that delivers high performance at an unprecedented cost of under $450 for training.
A new report from the Metaverse Standards Forum (MSF) declares the technology initiative is alive and well, despite skyrocketing attention paid to artificial intelligence.
A new 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 its recommendations to bolster American leadership in AI.
Data security specialist Rubrik is upgrading its data protection platform to allow for quicker recoveries in the familiar backup & recovery process.
Forty-one percent of global tech executives in a recent NetApp survey said they believe advancements in AI will significantly increase security threats. The firm's second annual Data Complexity Report points to 2025 as "AI's make or break year."