Theta

The New Jersey Devils have introduced a groundbreaking AI chatbot named "Bott Stevens," aimed at enhancing digital fan engagement. This innovative chatbot is named after the legendary Devils player Scott Stevens and is powered by Theta EdgeCloud's decentralized AI infrastructure. Scheduled to launch during the 2024-25 NHL season, Bott Stevens will be accessible on the team's official website, providing fans with real-time information on game schedules, ticket sales, statistics, and merchandise. Utilizing Theta's Retrieval Augmented Generation technology, the chatbot will ensure data accuracy by sourcing information from official NHL channels, thereby minimizing the risk of misinformation from unverified sources. Bott Stevens boasts impressive computational capabilities, leveraging Theta EdgeCloud's network of over 30,000 edge nodes and distributed GPUs, which collectively offer more than 80 PetaFLOPS of processing power. This robust infrastructure is designed to handle peak demand, particularly during high-stakes events like playoffs or significant team announcements. In addition to answering fan inquiries, the chatbot will provide historical highlights, game recaps, venue information, and updates on team events. Future enhancements may include predictive analytics for fantasy sports and interactive tools to further engage fans. To promote Bott Stevens, the Devils plan to integrate its capabilities across multiple platforms, encouraging fan interaction and awareness. The chatbot will not only deliver statistics and schedules but also curated content that enriches the fan experience, such as historical highlights and information about upcoming events. Success metrics will include user engagement rates, accuracy of information, and feedback from fans, ensuring that Bott Stevens remains a valuable resource for the Devils' community. By focusing on continuous learning and personalized interactions, the team aims to differentiate Bott Stevens from other AI agents, creating a unique and engaging experience for fans.

The blockchain market is experiencing a surge of innovation, with projects like Theta, Story (IP), and Qubetics leading the charge. Theta has emerged as a significant player in the decentralized video delivery space, providing a solution for streaming giants looking to cut costs and improve quality by eliminating centralized servers. Its growing partnerships and positive price movements indicate a rising demand for decentralized content distribution, positioning Theta as a key player in the future of streaming. On the other hand, Story (IP) is transforming the $15 trillion intellectual property management industry. By utilizing a blockchain-based framework, Story is modernizing the registration, monetization, and licensing of copyrights and trademarks. The platform automates payments and licensing through smart contracts, empowering creators and businesses with full control over their assets. This innovative approach addresses the traditional pain points in IP management, such as high legal fees and delayed royalty payments, making it a game-changer in the sector. Meanwhile, Qubetics is set to revolutionize cross-border transactions with its blockchain-powered ecosystem. By addressing the inefficiencies of traditional international transfers, Qubetics offers instant, low-cost payments that eliminate hidden fees and banking restrictions. Its presale has already broken records, raising $14.6 million with over 495 million $TICS tokens sold. Analysts predict substantial returns on investment, making Qubetics one of the most promising crypto opportunities this year. As these projects continue to innovate, they are reshaping their respective industries and paving the way for a more decentralized future.

Theta Labs has recently expanded its AI research partnerships by welcoming Kangwon National University into its Theta EdgeCloud decentralized GPU network. This collaboration marks a significant milestone, as Kangwon National University becomes the 23rd academic customer of Theta EdgeCloud. The partnership aims to enhance AI research capabilities, achieving an impressive GPU utilization rate exceeding 85% across Theta's global network, alongside more than 230 million TFUEL locked by Elite Booster node operators. The EdgeCloud platform is already supporting various enterprises and academic institutions, including NHL teams and renowned universities, thus solidifying its role in advancing AI research and real-world applications. Professor Kyeongpil Kang, who leads the Data Analytics & Machine Intelligence (DAMI) Lab at Kangwon National University, specializes in natural language processing, machine learning, and data mining. The DAMI Lab focuses on large-scale AI research, exploring areas such as fine-tuning large language models (LLMs), machine learning solutions for specific domains, and AI-driven insights in fields like social sciences and medical AI. The collaboration with Theta EdgeCloud will provide the lab with access to a hybrid cloud-edge GPU computing platform, enabling researchers to conduct innovative experiments and develop advanced AI applications. As the partnership progresses, both Professor Kang and Mitch Liu, co-founder and CEO of Theta Labs, express excitement about the potential of this collaboration. Liu emphasizes the importance of expanding GPU infrastructure to meet the growing demand while maintaining cost-effectiveness. The goal for 2025 includes a tenfold increase in the customer base, achieving over 95% GPU utilization, and locking in more than 2 billion TFUEL through elite edge node operators. This partnership not only enhances the capabilities of DAMI Lab but also strengthens Theta Labs' position in the decentralized cloud infrastructure space for AI and machine learning.

In the ever-evolving cryptocurrency landscape, investors are keenly searching for altcoins with maximum growth potential. Among the promising options for February are Stellar (XLM), Theta Network (THETA), and Remittix (RTX). Each of these projects offers unique value propositions, but Remittix is particularly noteworthy for its innovative approach to merging cryptocurrency with traditional finance. This article delves into the strengths of these projects and highlights why Remittix is being touted for potential 50x gains. Stellar (XLM) has long been recognized for its role in facilitating cross-border payments. The decentralized network allows for direct connections between financial institutions and individuals, eliminating intermediaries and reducing costs. Stellar's partnerships with major entities like IBM and MoneyGram enhance its credibility in the $700 billion global remittance market. Despite its stable position, analysts predict a gradual price increase for XLM, though it may not meet the aggressive targets set by investors for 2025. Meanwhile, Theta Network (THETA) is revolutionizing the video streaming industry by leveraging blockchain technology for peer-to-peer content distribution. Its partnerships with tech giants like Google and Samsung bolster its market presence, although it faces challenges in scalability and competition from traditional streaming services. Remittix (RTX) stands out as a game-changer by addressing a significant gap in the financial landscape: the lack of banking access for over 1.7 billion people worldwide. By enabling users to convert more than 40 cryptocurrencies into fiat currency for direct bank transfers, Remittix offers a cost-effective alternative to traditional remittance services. The project has already gained traction with over $12 million raised in its presale, and experts predict a potential 50x price surge post-launch. Unlike Stellar and Theta, Remittix's utility token model allows for real-world applications, making it an attractive investment for those looking to capitalize on the future of finance. Investors are encouraged to consider Remittix as a leading contender in the altcoin market, especially as it prepares for its presale conclusion.

EdgeCloud has recently welcomed Sogang University’s Language & Data Intelligence Laboratory, led by Professor Buru Chang, as its latest customer. This addition expands EdgeCloud's network to twenty clients across various sectors, including academia, enterprise, esports, and traditional sports. Sogang University, recognized as one of South Korea's premier AI research institutions, joins an esteemed group of academic partners such as Seoul National University, KAIST, Korea University, and Yonsei University. These institutions are leveraging Theta EdgeCloud's hybrid cloud-edge GPU computing platform to tackle challenges in AI training and inference. Professor Buru Chang, an Assistant Professor in the Department of Artificial Intelligence at Sogang University, leads the Language & Data Intelligence Laboratory, which specializes in natural language processing (NLP), multimodal machine learning, and data mining. Dr. Chang holds a Ph.D. in Computer Science from Korea University and has previously worked as a machine learning research scientist at Hyperconnect. Under his guidance, the lab has gained significant recognition, contributing to leading AI conferences and focusing on innovative areas such as dialogue generation and multimodal AI applications. Professor Chang expressed enthusiasm about using the EdgeCloud platform, noting its ease of use and scalability, which will enable the lab to explore new frontiers in AI research. With access to Theta EdgeCloud, the Language & Data Intelligence Laboratory aims to enhance its research capabilities in several key areas. These include advancing models for open-domain dialogue and semantic diversity in NLP, developing real-time AI solutions for media processing, and improving the efficiency of AI workflows through Theta’s hybrid GPU infrastructure. The collaboration signifies a promising step forward in AI research, as the lab looks to harness scalable and cost-effective computing power to drive innovation and address complex challenges in the field.

Theta EdgeCloud has integrated DeepSeek-R1, a cutting-edge large language model developed by Chinese AI startup DeepSeek. DeepSeek-R1 delivers performance comparable to models like OpenAI’s ChatGPT, Mistral’s Mixtral, and Meta’s LLaMA while using significantly fewer computational resources. By supporting DeepSeek-R1, Theta EdgeCloud, a decentralized GPU cloud infrastructure, enhances AI efficiency and accessibility. DeepSeek’s innovations, such as multi-head-latent-attention (MLA) and FP8 precision quantization, allow advanced LLMs to run on consumer GPUs, making high-performance AI more accessible to developers, researchers, and small-scale enterprises without relying on expensive centralized cloud infrastructure. Theta EdgeCloud’s decentralized architecture provides scalability by dynamically allocating GPU nodes based on demand, eliminating the need for costly physical infrastructure expansion. This approach also reduces costs by leveraging underutilized computational power, enabling users to pay only for the resources they consume. In addition to being cost-efficient, Theta EdgeCloud promotes sustainability by distributing AI processing across multiple locations instead of relying on energy-intensive data centers. With this integration, Theta Labs continues to push the boundaries of decentralized AI infrastructure, offering a more cost-effective, scalable, and environmentally friendly alternative for AI model training and inference.