The Patent-Based Idea Generation task asks systems to turn real patents into product ideas viable within three years. We propose MK2, a prompt-centric pipeline: Gemini 2.5 drafts and iteratively edits a prompt, grafting useful fragments from weaker outputs; GPT-4.1 then uses this prompt to create one idea per patent, and an Elo loop judged by Qwen3-8B selects the best prompt-all without extra training data. Across three domains, two evaluator types, and six criteria, MK2 topped the automatic leaderboard and won 25 of 36 tests. Only the materials-chemistry track lagged, indicating the need for deeper domain grounding; yet, the results show that lightweight prompt engineering has already delivered competitive, commercially relevant ideation from patents.

The increasing attention given to AI Generated Content (AIGC) has brought a profound impact on various aspects of daily life, industrial manufacturing, and the academic sector. Recognizing the global trends and competitiveness in AIGC development, this study aims to analyze China's current status in the field. The investigation begins with an overview of the foundational technologies and current applications of AIGC. Subsequently, the study delves into the market status, policy landscape, and development trajectory of AIGC in China, utilizing keyword searches to identify relevant scholarly papers. Furthermore, the paper provides a comprehensive examination of AIGC products and their corresponding ecosystem, emphasizing the ecological construction of AIGC. Finally, this paper discusses the challenges and risks faced by the AIGC industry while presenting a forward-looking perspective on the industry's future based on competitive insights in AIGC.

Earlier this spring, the largest robotics event in Europe – The European Robotics Forum 2023 (ERF23) – was held in Odense, Denmark. As one of the most influential gatherings of the robotics community in Europe, the event brought together researchers, engineers, managers, entrepreneurs, businesspeople, and public funding officers to explore the latest trends and themes in the field of robotics. With more than 1100 registered participants and 65 sponsors and exhibitors, this was'the largest ERF in recorded history – on all parameters', say the organizers. During the four-day forum, RI4EU robotics DIHs network, together with agROBOfood and Rima Network, hosted a booth at the event, where they showcased a range of robotics initiatives. These also included TRINITY Robotics DIHs, agROBOfood, DIH-HERO, and DIH² robotics networks.

AI in Manufacturing to surpass USD 42.5 billion by 2031 from USD 1.7 billion in 2021 at a CAGR of 37.6% in the coming years, i.e., 2021-31. Artificial Intelligence technology is widely being adopted in manufacturing industries to analyze complex sets of data, changes in consumer behavior, and demand for detecting anomalies and improving supply chains and distribution networks. Further, AI can improve decision making by using advanced software to gain more insights and visibility in the operation process, which is driving the market growth of AI in Manufacturing. Based on Offering, the AI in Manufacturing Market is divided into Hardware, Software, and Services, of which the Software segment is expected to lead. Specific programs can be run by software alone without the need for additional hardware.

Ever since the adoption of Smartphones and further mobile applications have flooded the market, global industries are on their way to offering their services through the adoption of mobile app development trends. One of the prominent and visible growth has been in the healthcare industry, which has gone many miles ahead of where it stood a decade ago. However, that can't be done with just a snap of a finger. You, as a healthcare organization entering into the mHealth service market, must follow healthcare app development trends, which we have discussed over here, to lead your app concept to success. In addition, to know healthcare app development trends, the market study is the need of the hour!!

The Global Machine Learning as a Service (MLaaS) Market 2032 Industry Report is a professional and in-depth study on the current state of the Machine Learning as a Service (MLaaS) Market by QMI. The Machine Learning as a Service (MLaaS) Market is supposed to demonstrate a considerable growth during the forecast period of 2023 – 2032. The company profiles of all the key players and brands that are dominating the market have been given in this report. Their moves like product launches, joint ventures, mergers and acquisitions and the respective effect on the sales, import, export, revenue and CAGR values have been studied completely in the report. The scope of this Machine Learning as a Service (MLaaS) Market report can be expanded from market scenarios to comparative pricing between major players.

This Direct Attached Artificial Intelligence Storage System Market report also offers insights on the drivers, restraints and opportunities for the market, which were gathered through primary and secondary research. It also covers various market factors, including COVID-19 impact, Porter's Five Forces, PEST analysis and use case analysis. New Report (114 Page) Publish on Global Direct Attached Artificial Intelligence Storage System Market 2023 Research Report provides Size, Share, Growth, Developments, New Technology, Trends and Forecasts 2028. Also, Direct Attached Artificial Intelligence Storage System Market Report provides an in-depth analysis of the market situation of the Top Direct Attached Artificial Intelligence Storage System Manufacturers with the best facts and figures, definitions, SWOT and PESTAL analysis, expert opinions and the latest trends around the world. Additionally, the report includes data on research and development, new product launches, product feedback from global and regional markets by key players.

The Artificial Intelligence in Education Sector market size was valued at USD 1.84 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 36.2% from 2022 to 2030. The Artificial Intelligence in Education Sector Market Market 2022-2030 research report carefully examines the market size (revenue), market share, key market segments, numerous geographic areas, the projection for the next six years, significant market players, and industry trends. The market research report contains data on a range of topics, such as market drivers, restrictions, possible opportunities, threats, and global business sectors, as well as development trends, serious scene investigation, and the status of major locations' extension. The Artificial Intelligence in Education Sector Market market's drivers, restrictions, possible opportunities, and risks are also covered. The market overview, current trends, consumer demand, and recent events that can have an impact on the industry's growth in the next six years are all covered in detail in the market research study.

AI in retail industry is rapidly transforming the customer journey and experience. The fundamental steps of shopping have mostly stayed the same throughout the years: enter a store, choose the ideal item, and pay for it. With personalization, automation, and more efficiency, artificial intelligence has the ability to revamp the conventional shopping experience totally. The retail sector has been going through a digital shift for a while now. Every branch of retail companies has seen a rise in speed, efficiency, and accuracy, largely because of sophisticated data and predictive analytics technologies that support businesses in making data-driven business choices.

The Global 3D Mobile Theatre Market size is forecast to reach $45.6 billion by 2027, growing at a CAGR 7.5% from 2022 to 2027. Increasing penetration of augmented reality and virtual reality for effective 3D content visualization, leveraging digital age technologies such as Artificial Intelligence (AI), Machine Learning (ML) have been impacting the market growth towards 3D mobile theatres. Growing demand for 3D Mobile Theatre as a part of gaining immersive cinematic experience utilizing connected systems such as head-mounted display and headsets are some of the major factors attributing to the market growth. The growing adoption of active matrix organic light emitting diode (AMOLED) in smart gadgets leveraging flexible display technology is enhancing digital reality. Since electroluminescent organic compounds are generally placed on base layers within AMOLED displays, aiding its deployment in 3D mobile theatre applications.