The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
New research shows leaders tasked with driving engagement are feeling deeply burned out, and the youngest generation in the ...
Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...
Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...
Anxiety is best managed when the brain becomes less reactive to threats. Benzodiazepines can interfere with the learning ...
IFS for OCD, which is compatible with standard exposure and response prevention (ERP), brings comfort and respect to the ...
In an era where student-centered instruction and competency-based learning are gaining traction globally, enhancing teacher capacity remains a pivotal challenge. Recognizing this, a team of Chinese ...
The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...
The first change that the tech industry at large needs to make is to stop obfuscating data collection and usage.
Social media is expected to play a larger role in boosting demand, particularly among younger consumers who are gravitating ...
There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, ...
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