Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...
Elon Musk's xAI faced backlash for recent Grok chatbot posts of artificial intelligence-generated sexualized images of children on X. The company responded to a request for comment with an autoreply: ...
NVIDIA is generating massive cash flows from surging AI chip demand but faces capital allocation challenges. NVDA’s $60B cash pile is growing, with limited high-ROE internal investment opportunities ...
Objective: This study aimed to assessing dissatisfaction with allocation of health care resources from the perspective of patients with different diseases that can help optimize resource allocation ...
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...
The article introduces a dynamic ETF allocation model using the CAPE-MA35 ratio—the Shiller CAPE divided by its 35-year moving average—to identify market phases and adjust portfolio exposure. The ...
Imagine refreshing an online shopping cart only to see the price of your favorite jacket jump $20 in minutes. This is the reality of dynamic pricing in today’s AI-driven markets. As a digital product ...
Abstract: While deep learning (DL) has made notable progress in addressing complex radio access network control challenges, DL has shown limitations in solving constrained NP-hard problems often ...
Introduction: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing yet urgent policy and management challenges to address resource shortages and deliver on Sustainable ...
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