Tootfinder

RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
Gaurangi Raul, Yu-Zheng Lin, Karan Patel, Bono Po-Jen Shih, Matthew W. Redondo, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Pratik Satam
https://arxiv.org/abs/2509.00646

RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
The rapid digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially for older workers. With growing emphasis on STEM skills such as robotics, automation, artificial intelligence (AI), and security, large-scale re-skilling and up-skilling are required. Training programs must address diverse backgrounds, learning styles, and motivations to improve persistence and success, while ensuring rapid, cost-effective workforce develo…

The growth of print culture in the eighteenth century was associated with the growing prestige of reason,
hostility to superstition, the birth of capitalism, and the rapid development of science.
Other historians have linked the eighteenth century explosion of literacy to the Enlightenment, the birth of human rights, the arrival of democracy and even the beginnings of the industrial revolution.
The world as we know it was forged in the reading revolution.
🔥Now, we ar…

The dawn of the post-literate society
And the end of civilisation

“Assuming we steward it safely and responsibly into the world…”—Right, bro, as if.
https://www.theguardian.com/technology/2025/aug/04/demis-hassabis-ai-future-10-times-bigger-than-industrial-revolution…

Human-centered AI with focus on Human-robot interaction (Book chapter)
Alireza Mortezapour, Giuliana Vitiello
https://arxiv.org/abs/2507.04095 https://

Human-centered AI with focus on Human-robot interaction (Book chapter)
Modern social robots can be considered the descendants of steam engines from the First Industrial Revolution (IR 1.0) and industrial robotic arms from the Third Industrial Revolution (IR 3.0). As some time has passed since the introduction of these robots during the Fourth Industrial Revolution (IR 4.0), challenges and issues in their interaction with humans have emerged, leading researchers to conclude that, like any other AI-based technology, these robots must also be human-centered to meet t…

Shanghai-based, US-listed lidar maker Hesai jumped 7.7% in its Hong Kong debut, giving the company a ~$4.5B market cap after raising ~$514M from the IPO (Nikkei Asia)
https://asia.nikkei.com/business/markets/equities/chines…

Chinese auto sensor maker Hesai's shares jump 8% in Hong Kong debut
Blacklisted by US, company aims to cement position in AI industrial revolution

North Pacific waters are acidifying more rapidly below the surface, research reveals #waters

North Pacific waters are acidifying more rapidly below the surface, research reveals
Carbon dioxide in the atmosphere enters the ocean at the surface and has been increasing the acidity of Pacific waters since the beginning of the industrial revolution over 200 years ago. A new study, led by University of Hawai'i at Mānoa oceanographers, revealed that the ocean is acidifying even more rapidly below the surface in the open waters of the North Pacific near Hawai'i.

RIS-assisted ISAC Systems for Industrial Revolution 6.0: Exploring the Near-field and Far-field Coexistence
Seonghoon Yoo, Jaemin Jung, Seongah Jeong, Jinkyu Kang, Markku Juntti, Joonhyuk Kang
https://arxiv.org/abs/2507.07643

RIS-assisted ISAC Systems for Industrial Revolution 6.0: Exploring the Near-field and Far-field Coexistence
The Industrial Internet of Things (IIoT) has emerged as a key technology for realizing the vision of Industry 6.0, requiring the seamless integration of diverse connected devices. In particular, integrated sensing and communication (ISAC) plays a critical role in supporting real-time control and automation within IIoT systems. In this paper, we explore reconfigurable intelligent surface (RIS)-assisted ISAC systems for IIoT in the coexistence of near-field and far-field regions. The system consi…

Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
Mohammad Alikhani, Reza Kazemi
https://arxiv.org/abs/2507.10808

Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
In the era of the Fourth Industrial Revolution, cybersecurity and intrusion detection systems are vital for the secure and reliable operation of IoT and IIoT environments. A key challenge in this domain is the scarcity of labeled cyber-attack data, as most industrial systems operate under normal conditions. This data imbalance, combined with the high cost of annotation, hinders the effective training of machine learning models. Moreover, rapid detection of attacks is essential, especially in cr…

“Assuming we steward it safely and responsibly into the world…”—Right, bro, as if.
https://www.theguardian.com/technology/2025/aug/04/demis-hassabis-ai-future-10-times-bigger-than-industrial-revolution…

“Assuming we steward it safely and responsibly into the world…”—Right, bro, as if.
https://www.theguardian.com/technology/2025/aug/04/demis-hassabis-ai-future-10-times-bigger-than-industrial-revolution…

MIoT-Driven Comparison of Open Blockchain Platforms
Abdou-Essamad Jabri (UPJV, MIS), Mostafa Azizi (UPJV, MIS), Cyril Drocourt (UPJV, MIS), Gil Utard (MIS, UPJV)
https://arxiv.org/abs/2509.08399

MIoT-Driven Comparison of Open Blockchain Platforms
Being propelled by the fourth industrial revolution (Industry 4.0), IoT devices and solutions are well adopted everywhere, ranging from home applications to industrial use, crossing through transportation, healthcare, energy, and so on. This wide use of IoT has not gone unnoticed, hackers are tracking the weakness of such a technology and threatening them continuously. Their security at various levels has become an important concern of professionals and researchers. This issue takes more risk, …

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction
Karan Patel, Yu-Zheng Lin, Gaurangi Raul, Bono Po-Jen Shih, Matthew W. Redondo, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Pratik Satam
https://arxiv.org/abs/2509.02998

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction
This full paper describes an LLM-assisted instruction integrated with a virtual cybersecurity lab platform. The digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially among older workers. With rising emphasis on robotics, automation, AI, and security, re-skilling and up-skilling are essential. Generative AI can help build this workforce by acting as an instructional assistant to support skill acquisition during experien…