Tootfinder

#JeremyJackson #AngelaVisser #DavidHasselhoff
Season 3 Episode 13 "Island of Romance"

Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems
Jovan Prodanov, Bla\v{z} Bertalani\v{c}, Carolina Fortuna, Shih-Kai Chou, Matja\v{z} Branko Juri\v{c}, Ramon Sanchez-Iborra, Jernej Hribar
https://arxiv.org/abs/2507.07671

Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems
Modern edge-cloud systems face challenges in efficiently scaling resources to handle dynamic and unpredictable workloads. Traditional scaling approaches typically rely on static thresholds and predefined rules, which are often inadequate for optimizing resource utilization and maintaining performance in distributed and dynamic environments. This inefficiency hinders the adaptability and performance required in edge-cloud infrastructures, which can only be achieved through the newly proposed in-…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Al Charles:
🎵 Outstanding
#AlCharles
https://jeremysole.bandcamp.com/track/al-charles-outstanding-jeremy-soles-juicy-dub
https://open.spotify.com/track/2gupGvtvyfxTGVx7xAb6o8

The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students
Siddharth Siddharth, Brainerd Prince, Amol Harsh, Shreyas Ramachandran
https://arxiv.org/abs/2506.08041

The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students
This work presents a novel course titled The World of AI designed for first-year undergraduate engineering students with little to no prior exposure to AI. The central problem addressed by this course is that engineering students often lack foundational knowledge of AI and its broader societal implications at the outset of their academic journeys. We believe the way to address this gap is to design and deliver an interdisciplinary course that can a) be accessed by first-year undergraduate engin…

We Used To Be Journos
Great Australian Pods Podcast Directory: #GreatAusPods

Corbyn calling out the 'Labour' warmongers.
#warmongering

Observatory Science with eXTP
Ping Zhou, Jirong Mao, Liang Zhang, Alessandro Patruno, Enrico Bozzo, Yanjun Xu, Andrea Santangelo, Silvia Zane, Shuang-Nan Zhang, Hua Feng, Yuri Cavecchi, Barbara De Marco, Junhui Fan, Xian Hou, Pengfei Jiang, Patrizia Romano, Gloria Sala, Lian Tao, Alexandra Veledina, Jacco Vink, Song Wang, Junxian Wang, Yidi Wang, Shanshan Weng, Qingwen Wu, Fei Xie, Guobao Zhang, Jin Zhang, Zhanhao Zhao, Shijie Zheng, Samuzal Barua, Yue-Hong Chen, Yupeng Chen, Shi-Jiang…

Observatory Science with eXTP
Scheduled for launch in 2030, the enhanced X-ray Timing and Polarization (eXTP) telescope is a Chinese space-based mission aimed at studying extreme conditions and phenomena in astrophysics. eXTP will feature three main payloads: Spectroscopy Focusing Arrays (SFAs), Polarimetry Focusing Arrays (PFAs), and a Wide-field Camera (W2C). This white paper outlines observatory science, incorporating key scientific advances and instrumental changes since the publication of the previous white paper [1]. …

#HeatherStephens #JeremyJackson
Season 8 Episode 20 "Bon Voyage"
#RandomBaywatch

#HeatherStephens #JeremyJackson
Season 8 Episode 22 "White Thunder at Glacier Bay: part 2"
#RandomBaywatch

#HeatherStephens #JeremyJackson
Season 8 Episode 20 "Bon Voyage"
#RandomBaywatch