In 1958, Frank Rosenblatt unveiled the Perceptron in New York, laying the groundwork for image recognition in modern AI

The use of artificial intelligence has radically transformed the way the computer understands reality. It has given rise to ...
IEEE

ReflexPilot: Startup-Aware Dependent Task Scheduling Based on Deep Reinforcement Learning for Edge-Cloud Collaborative Computing

Abstract: With the increasing number of devices, the demand for data computation is growing rapidly. In edge-cloud collaborative computing, tasks can be scheduled to servers as interdependent subtasks ...
Education Week

AI Changes Its Feedback on Students’ Writing When It Knows Their Race, Gender

Artificial intelligence-based writing coaches have gained popularity as a way to give teachers quick feedback on hundreds of student drafts, reducing one of their most time-intensive tasks. But ...
Frontiers

Are S.M.A.R.T goals really smart? The psychological effects of goal-setting in a learning task

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
IEEE

Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation

Abstract: Recommendation systems typically rely on users’ historical behavior to infer their preferences. However, when new entries emerge, the system cannot make accurate prediction due to the lack ...
GitHub

Nested Learning Reproduction

Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...

The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...