New Databricks research reveals why single-turn RAG systems fail on hybrid queries and how multi-step agents achieve 21-38% better performance on enterprise knowledge tasks.
Network security can't see what happens on the device. As developers run powerful AI models locally, CISOs face a new challenge: Shadow AI 2.0 operates entirely offline, invisible to traditional controls.
Breaking AI agent benchmarks reveals critical insights about autonomous system capabilities. Learn what our breakthrough means for the future of artificial intelligence and automation.
Small AI models proved they can find the same critical vulnerabilities as complex systems like Mythos, revolutionizing how organizations approach security testing and resource allocation.
AI agents are changing how customers discover businesses. LLM-referred traffic converts at 30-40%, but most enterprises aren't optimizing for it. Here's what you need to know about AEO.
iNaturalist combines AI-powered image recognition with crowdsourced expertise to create the world's largest biodiversity database, transforming how we document and understand nature.
Microsoft just fired a warning shot at OpenAI and Google with three in-house AI models that claim best-in-class performance at half the cost. Here's what it means for enterprise AI.
ThinkLabs AI just closed a $28 million Series A to tackle the electric grid's biggest problem: legacy planning tools can't keep pace with surging demand from AI data centers and EVs.
Intercom built its own AI model that beats OpenAI and Anthropic at customer service. The 15-year-old company's gamble reveals why domain-specific AI may trump general models.
AI agents are starting to work in teams, but without careful organization, groups of bots can easily fall into chaos. Discover how scientists are building collaborative AI systems.
Salvaged Tesla computers are giving tech enthusiasts unprecedented access to automotive AI systems. Discover how crashed car parts are powering desktop experiments.
