RSS Feed Source: MIT Technology Review

Digital transformation has long been a boardroom buzzword—shorthand for ambitious, often abstract visions of modernization. But today, digital technologies are no longer simply concepts in glossy consultancy decks and on corporate campuses; they’re also being embedded directly into factory floors, logistics hubs, and other mission-critical, frontline environments.

This evolution is playing out across sectors: Field technicians on industrial sites are diagnosing machinery remotely with help from a slew of connected devices and data feeds, hospital teams are collaborating across geographies on complex patient care via telehealth technologies, and warehouse staff are relying on connected ecosystems to streamline inventory and fulfillment far faster than manual processes would allow.

Across all these scenarios, IT fundamentals—like remote access, unified login systems, and interoperability across platforms—are being handled behind the scenes and consolidated into streamlined, user-friendly solutions. The way employees experience these tools, collectively known as the

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RSS Feed Source: MIT Technology Review

Synopsis

Science of Learning and Augmented Intelligence (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence — how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. 

The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective and behavioral processes; and social and cultural influences. 

The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge

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