AI systems

AI systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making, often using machine learning and deep learning techniques.

Why it’s in the news: AI systems are in the news due to increasing scrutiny over their ethical use, security vulnerabilities, and rapid self-improvement capabilities.

Latest on AI systems

• Anthropic bans users from being 'cruel' to its AI systems
• AI systems most at risk of cybersecurity attacks, PwC report shows
• Cerebras to supply AI systems to cloud computing startup Gimlet Labs
• China unveils AI systems to transform mineral exploration
• Anthropic flags AI systems self-improvement; bats for greater transparency in development of models
• Agentic Search. More accurate and efficient results from your AI systems. ↗
• companies are responsible for protecting personal data when using AI systems
• AI systems designed to prevent security breaches are the very thing that silenced the experts meant to protect us
• Samsung Electronics reported an $80 billion quarterly profit on May 31, driven by the AI boom.
• The AI systems securing our skies are now being rushed to market without understanding their own failure modes.
• The cybersecurity tools meant to protect AI systems are the very thing leaders feel least prepared to defend.
• AI systems designed to secure churches instead exposed the personal data of hundreds of thousands.

Connections

132 entities linked to AI systems across the news graph.