Separate fact from fiction: AI and the future of work
Leaders and staff members need to learn the best ways to incorporate AI into the workflow.
FT AI·
Staff are often more willing than leaders to move quickly on AI and automation
Read full articleLeaders and staff members need to learn the best ways to incorporate AI into the workflow.
AI-driven automation in healthcare could significantly reduce administrative costs, enhancing efficiency and reallocating resources to patient care. The post A16z leads Prosper AI’s $30M Series A to automate healthcare’s phone-call problem appeared first on Crypto Briefing.
Charles Hoskinson defended Cardano’s AI content tests, saying agents will help Midnight City manage marketing, trading and user growth.
T-Rex's real-time tactile response could revolutionize robotics, enhancing adaptability in dynamic environments and advancing automation capabilities. The post Researchers from UC Berkeley, Nvidia, and Stanford unveil T-Rex framework for robots to respond to physical contact in real time appeared first on Crypto Briefing.
Anthropic's Conway agent could redefine AI interaction by automating tasks across platforms, potentially transforming user productivity and efficiency. The post Anthropic develops scheduled triggers for upcoming Conway agent appeared first on Crypto Briefing.
This innovation could significantly reduce costs and time in robot training, potentially accelerating advancements in robotics and automation. The post Berkeley researchers convert internet videos into robot training data appeared first on Crypto Briefing.
Artificial intelligence is moving from the lab bench to the production floor, and the companies enabling that transition are building the infrastructure that defines how agents are created, trained, deployed, and governed. The companies doing it most consequentially are not wrapping chat interfaces around existing models; they are constructing the runtimes, the training environments, the […]
The 2026 State of AI for Business Report surveyed more than 2,100 professionals, 84% of whom work at B2B organizations and about a third of whom are marketers. This makes this one of the most relevant datasets for B2B professionals trying to understand where AI is taking their profession.