Users Slam Duolingo for Sneaky Ads on iPhones—Can Apple Ban the App?

The notification in question appeared as a live activity banner on the user’s iPhone which said, “Claim your Super offer!” ...

True agentic AI is years away - here's why and how we get there

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.
IEEE

Automatic Prompt Generation and Optimization by Leveraging Large Language Models to Enhance Few-Shot Learning in Biomedical Tasks

Abstract: Recent advancements in scaling large language models (LLMs) have enhanced various natural language processing (NLP) tasks. However, open-source moderately sized models, such as BERT, are ...
Scientific Research Publishing

Exploring Interdisciplinary Project-Based Teaching Reform of “AI Meets HarmonyOS” in Higher-Vocational IoT Programs: A Case Study on Smart-Home Development ()

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
techxplore

Enabling small language models to solve complex reasoning tasks

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...
IEEE

Multi-UAV Dynamic Task Assignment Based on Event-Triggered Graph Reinforcement Learning Under Weak Communication

Abstract: This paper addresses the dynamic task assignment problem for multiple uncrewed aerial vehicles (UAVs) operating under weak communication. Existing learning-based methods face two primary ...