Mengurangi Kemacetan dan Meningkatkan Efisiensi Lalu Lintas dengan Reinforcement Learning

100-an mobil dikendalikan dengan algoritma AI berbasis RL untuk meningkatkan efisiensi dan mengurangi kemacetan. Artikel Populer: Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment Literatur paper: Reinforcement Learning-Based Oscillation Dampening: Scaling Up Single-Agent Reinforcement Learning Algorithms to a 100-Autonomous-Vehicle Highway Field Operational Test

Bahan Wajan

Ada beberapa bahan yang biasa dipakai untuk membuat alat masak, yaitu: Stainless steel kualitasnya sangat baik. Panas dari kompor mudah menyebar merata. Dapat dipakai untuk berbagai macam cara. Tidak lengket jika sudah di’seasoning’. Perawatan mudah. Material dari wajan relatif tidak masuk ke makanan, kecuali chromium yang bisa bereaksi dengan makanan kalau dipakai memasak yang asam. … Lanjutkan membaca Bahan Wajan

How DeepSeek is so cheap

Q: How did DeepSeek get around export restrictions? A: They didn’t. They just tinkered around with their chips to make sure they handled memory as efficiently as possibly. They lucked out, and their perfectly optimized low-level code wasn’t actually held back by chip capacity. Q: How did DeepSeek train so much more efficiently? A: They … Lanjutkan membaca How DeepSeek is so cheap

Jurnal Sistem Cerdas

Alamat: https://apic.id/jurnal/index.php/jsc/index Jurnal Sistem Cerdas with eISSN: 2622-8254 is a peer-reviewed journal serving as a publication medium for research findings that support the research and development of cities, villages, sectors, and other systems. The Intelligent Systems Journal is published by the Smart Indonesia Initiative Association (APIC) and is released every four months (April, August, and … Lanjutkan membaca Jurnal Sistem Cerdas