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DP Technology DevDay 2024 Showcases Large Science Models and Announces Open Science Initiative

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In recent years, the rapid development of artificial intelligence has introduced new possibilities across numerous scientific disciplines. As an AI for Science pioneer, DP Technology is continually collaborating with partners to explore the transformative impact AI can bring to science. During its DevDay held in Beijing on April 12th, DP Technology showcased a series of large science models, including the DPA large atomic model[1], Uni-Mol 3D molecular model[2], Uni-Fold protein folding model[3], Uni-RNA ribonucleic acid model[4], and Uni-SMART large language model for multimodal scientific literature[5] among others.
DPA
The rapid development of artificial intelligence (AI) is driving significant changes in the field of atomic modeling, simulation, and design. Inspired by recent advancements of large language models, DP aspires to develop a similar foundational model for the atomic domain. Developed by DP and collaborators, DPA is a large pre-trained model for interatomic potential with attention mechanism. The recently released DPA-2 model addresses the limitations of single-source DFT data reliance in other pre-trained atomistic models. DPA-2 covers ~100 elements in the periodic table. In a perovskite study, Liu Shi’s team at Westlake University utilised the pre-trained DPA increased the efficiency of force field development by 100x.
DPA-2 is also used in drug discovery. The latest version of Uni-FEP (free energy perturbation) can now be powered by DPA’s pre-trained inter-atomic potential. Uni-FEP now utilizes the DPA-2 pre-trained model to optimize classical force field parameters on-the-fly, providing enhanced free energy predictions. This results in improved R^2 values and reduced RMSE.
Uni-Mol
Uni-Mol, a pre-trained 3D molecular representation learning model (ICLR ’23), now boasts an improved accuracy in predicting these binding poses with over 77% of ligands achieving an RMSD value under 2.0 Å and over 75% passing all quality checks. This marks a substantial leap from the 62% accuracy of the previous version, also eclipsing other known methods. It effectively tackled common challenges like chirality inversions and steric clashes, ensuring that predictions are not just accurate but also chemically viable.
Based on Uni-Mol, VD-Gen[6], developed by DP and collaborators, is capable of directly generating molecules with high binding affinity within the protein pocket. VD-Gen accurately predicts the elemental types and fine-grained atomic coordinates of the generated molecules without the need to coarse-grain the atomic coordinates into a grid, offering higher precision compared to three-dimensional grid-based methods. Furthermore, VD-Gen can efficiently generate all types of atoms and their coordinates simultaneously, outperforming autoregressive generation models in performance without being affected by the order of generation.
Uni-QSAR[7], built on the Uni-Mol model, is an innovative tool for automated prediction of molecular properties. It can rapidly and cost-effectively assess ADMET properties during the early stages of drug development. This method utilizes the three-dimensional structural information of molecules, combined with computational chemistry and bioinformatics tools, to predict the behavior of drug molecules in the body. DP demonstrated benchmarks include 22 ADMET public datasets from the TDC Benchmark and 30 activity datasets from the MoleculeACE Benchmark with Chemprop, DeepAutoQSAR, and DeepPurpose as baselines. Uni-QSAR achieved the best performance in 21 out of 22 tasks in the TDC ADMET Benchmark tests and in 26 out of 30 tasks in the MoleculeACE benchmark tests.
Uni-RNA
Uni-RNA is pre-trained on approximately one billion high-quality RNA sequences, covering virtually all RNA space. By fine-tuning the model across a broad range of downstream tasks, Uni-RNA achieved leading results in all three RNA domains: RNA structure prediction, mRNA sequence property prediction, and RNA function prediction.
Through a research conducted by DP, it is found that out of 10 RNA sequences generated by Uni-RNA, each one surpassed the performance level of the commercially available vaccine sequences from Moderna, while being generally comparable and sometimes exceeding the level of BioNTech’s commercial mRNA vaccine sequence. This demonstrates that models like Uni-RNA not only hold immense value for academic research but also possess significant potential for industrial research and development applications.
Uni-Fold
Protein structure modeling is a prerequisite for structure-based drug development. Once a preliminary structure is obtained, further refining and optimizing key structural regions is crucial for ensuring the accuracy of subsequent research.
Uni-Fold is the first protein structure prediction tool to fully open-source its training and inference code. It supports the structural prediction of polymeric protein systems and achieves top industry accuracy in prediction results under the same training datasets.
Uni-SMART
Uni-SMART (Science Multimodal Analysis and Research Transformer) tackles the urgent need for new solutions that can fully understand and analyze multimodal content in scientific literature. Indeed, many LLMs can already ingest PDF, but they often struggle to digest and interpret the rich information encapsulated within charts, graphs, and molecular structures embedded within those documents.
Through rigorous quantitative evaluation, Uni-SMART demonstrates significant performance gain in interpreting and analyzing multimodal contents in scientific documents, such as tables, charts, molecular structures, and chemical reactions, compared with other leading tools, such as GPT-4 and Gemini.
Industrial Software for Drug Discovery, Battery Development and beyond
Advancing AI for Science, DP Technology has developed a suite of industry applications based on its large science models and advanced algorithms. This suite includes the innovative Bohrium® Scientific Research Space, Hermite® Computational Drug Design Platform, RiDYMO® Dynamics Platform, and Piloteye® Battery Design Automation Platform. Together, these platforms support a robust foundation for industrial innovation within an open ecosystem for AI in science, fostering advancements in key areas such as drug discovery, energy, materials science, and information technology.
Open Science initiative
At DevDay, DP Technology joined forces with industry leaders such as CATL, Yunnan Baiyao, Alibaba Cloud, Tencent Cloud, Volcano Engine, China Unicom etc, to initiate an AI for Science open science ecosystem. This cross-industry collaboration aims to integrate the strengths of each party in artificial intelligence, cloud computing, and industry applications to propel innovation. The initiative aims to accelerate the open-source development of datasets, algorithms, code and pre-trained models.
Sun Weijie, founder and CEO of DP Technology, stated, “The launch of large science models is our firm commitment to advancing scientific and industrial innovation. With this series of scientific large models, we are not only able to accelerate the process of scientific research and product development but also increase the success rate of R&D, bringing disruptive impacts to drug discovery, battery development and beyond.”
The post DP Technology DevDay 2024 Showcases Large Science Models and Announces Open Science Initiative appeared first on HIPTHER Alerts.

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SUBBD and Luna PR Join Forces to Shape the Future of AI-Powered Content Creation

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 SUBBD, an AI-powered content creation platform designed to empower digital creators, is proud to announce its strategic partnership with Luna PR, a global marketing and communications agency specialising in web3 and emerging technologies. This collaboration aims to accelerate SUBBD’s mission of empowering digital creators by leveraging advanced AI and blockchain technology.
Luna PR will leverage its extensive web3 expertise to support SUBBD with comprehensive communications strategies, social media management, and targeted marketing campaigns. With a proven track record of over 600 successful projects since 2017 and a presence in four key global cities, Luna PR is uniquely positioned to elevate SUBBD’s brand presence and community engagement.
Maral Nouri, COO of Luna PR, stated: “As content creators ourselves, we understand the importance of staying ahead in today’s fast-paced digital landscape. Our partnership with SUBBD reflects this vision, empowering creators to effortlessly push boundaries and become trendsetters. SUBBD’s transformative platform equips creators with advanced AI tools to stay ahead of the curve, and we’re excited to support this evolution in content creation.”
Gabrielle Taylor, CEO of SUBBD, commented: “Partnering with Luna PR marks a significant step in our journey to transform the content creation industry. Luna PR’s expertise and strategic insights make them the ideal partner as we expand our platform and continue to support creators in maximising their potential through AI-powered solutions.”
SUBBD is transforming content creation with its AI-powered platform, designed to empower digital creators by enhancing autonomy, improving monetisation, and building deeper audience connections. By developing proprietary AI solutions, SUBBD is redefining how content is created, managed and monetised. With features like AI Personal Assistant, AI-driven content creation, blockchain security, and advanced analytics, SUBBD is pushing boundaries to help creators maximise their potential in the digital creator economy.
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[2024 Pujiang Innovation Forum] Highlights of WeStart2024

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As an integral part of the 17th Pujiang Innovation Forum, WeStart2024 was held at Dongjiao State Guest Hotel and Zhangjiang Science Hall, Shanghai from September 7 to 10. Under the theme of “Refactoring & Renewal”, this year’s conference focused on sci-tech entrepreneurship and investment, aiming to create a global entrepreneurship investment platform that bridges projects with capital. This platform leverages capital to bolster sci-tech innovation and economic transformation. The four-day event boasted two main forums, one symposium, 13 roadshow marathons, and multiple industry sharing sessions. Renowned investment agencies like CICC, Zero2IPO, and Shenzhen Capital Group were invited to delve into the innovative investment landscape, exploring avenues for global collaboration, building a new paradigm of entrepreneurship investment, and stimulating new drivers to sci-tech innovation.
Let’s review the highlights.
Shanghai has been fortifying its position as a global sci-tech innovation center by intensifying element concentration, enhancing functions and services, and cultivating a comprehensive sci-tech ecosystem. This has turned Shanghai into a heaven for entrepreneurship and a magnet for investment. WeStart2024 brought together government bodies, experts, scholars, venture firms at home and abroad, sci-tech businesses, and nearly 1,000 audience professionals to discuss entrepreneurship investment and create an ecosystem for sci-tech innovation together through diverse sci-tech innovation stakeholders, transforming this ecosystem from a strategic blueprint into reality.
On September 8, WeStart2024 kicked off with main forums, featuring 13 keynote speeches and two roundtable dialogues. Key sci-tech finance terms such as “patient capital”, “fundraising, investment, management and exit”, “investment in early-stage, small, long-term and hard technologies”, “angel investment”, and “high-quality development of the capital market” were frequently mentioned, becoming the focal point of discussions and highlighting the future development of sci-tech finance. The roundtable dialogues unveiled the latest sci-tech investment opportunities and delved into trends, current statuses, and strategies of sci-tech entrepreneurship investment amidst new situations and transformative environments.
The exhibition hall housed a Start-ups Exhibition Zone, showcasing nearly 20 TOP100 roadshow projects and products and the investment ecosystems and achievements of three to five leading venture firms through the linkage of the Entrepreneur Joint Exhibition Zone, the Investment Institution Zone, and the One-to-One Negotiation Zone. There were boards briefing on typical sci-tech businesses in the fields of biomedicine and AI. Social scenes for entrepreneurship investment were also offered to facilitate direct communication between projects and investors.
WeStartTOP100, a new addition to the Startup in Shanghai International Innovation and Entrepreneurship Competition, was launched in June. It selected 100 projects from over 2,000 global entries for on-site roadshows during the conference. The four-day event featured 13 marathon project roadshows with over 100 projects, focusing on six key areas: three in hard tech—biomedicine, artificial intelligence, and advanced manufacturing—and three in future industries—future information, future materials, and future energy.
A special roadshow for universities was also held, where Shanghai-based universities, including Shanghai Jiao Tong University, ShanghaiTech University, University of Shanghai for Science and Technology, Shanghai University of Engineering Science, Shanghai Ocean University, East China Normal University, Shanghai University, and Shanghai Polytechnic University, displayed high-quality research projects. Focusing on exchanges and investment and financing matchmaking in cutting-edge interdisciplinary areas and core technologies in key fields, this roadshow further propelled the commercialization of S&T outcomes in universities. The special roadshow for Hong Kong University of Science and Technology introduced top-notch innovative projects from Hong Kong universities to Shanghai, fostering a new chapter for sci-tech cooperation between the two cities.
In particular, the conference prioritized global vision and international cooperation. During the international roadshow, high-quality projects from countries and regions like France, Germany, Hungary, Zimbabwe, and Morocco, as well as Hong Kong (China), were selected to compete. This facilitated interaction between domestic and foreign entrepreneurship investment resources and explored new paths for global collaboration. A 365-day “never-ending” global entrepreneurship investment cooperation and matchmaking mechanism was established to effectively link international sci-tech innovation talent, technology, capital, and market, empowering the sound development of sci-tech entrepreneurship investment.
Furthermore, the conference collaborated with leading players in entrepreneurship investment, Shanghai State-owned Capital Investment Co., Ltd. and CICC Capital, to open special roadshows. Leveraging the expertise and resources of investment agencies, these roadshows directly linked both sides of entrepreneurship investment, working with numerous sci-tech players on-site to explore high-quality projects and fully support entrepreneurs.
The post [2024 Pujiang Innovation Forum] Highlights of WeStart2024 appeared first on HIPTHER Alerts.

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Tata Electronics and Tokyo Electron Limited (TEL) Announce Strategic Partnership to Grow Semiconductor Ecosystem in India

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Tata Electronics today signed a memorandum of understanding with Tokyo Electron Limited (TEL), a leading global supplier of semiconductor equipment and services. The two companies will collaborate to accelerate semiconductor equipment infrastructure for India’s first Fab being built by Tata Electronics in Dholera, Gujarat, and for its assembly and test facility in Jagiroad, Assam.
Through this partnership, Tata Electronics and TEL will also focus on training Tata Electronics’ workforce on TEL equipment and supporting ongoing improvement and R&D initiatives. This collaboration will leverage the strengths of both companies to establish a robust semiconductor manufacturing ecosystem in India.
As previously announced, Tata Electronics is building India’s first Fab in Dholera, Gujarat, with a total investment of INR 91,000 crores (~US$11bn). In addition, another INR 27,000 crores (~US$3bn) will be invested in a greenfield facility in Jagiroad, Assam, for the assembly and testing of semiconductor chips. Together, these facilities will produce semiconductor chips for applications across automotive, mobile devices, artificial intelligence (AI), and other key segments to serve customers globally. As the construction of these facilities progresses, it is critical to grow partnerships across the entire semiconductor ecosystem, spanning process and design technology, as well as equipment suppliers. With this announcement of the partnership with TEL, Tata Electronics has solidified a critical pillar to achieve its execution targets.
Dr Randhir Thakur, Managing Director & CEO, Tata Electronics, said, “We have a bold vision of becoming a leader in electronics manufacturing by offering integrated solutions across the value chain to our global customers. TEL has a history of working closely with its customers, and its expertise in the semiconductor equipment space will help build a dynamic ecosystem to support the timely execution of bringing up our Fab and advanced packaging factories. We are excited about the customer centricity that TEL brings to this partnership.”
Toshiki Kawai, President & CEO of Tokyo Electron Limited, emphasised, “We are delighted to announce our partnership with Tata Electronics, which brings together our combined expertise and resources to strengthen the semiconductor ecosystem in India significantly. This strategic collaboration spans both front-end fabrication and back-end packaging technologies, highlighting our commitment to delivering exceptional support and value to Tata Electronics. By leveraging our collective strengths, we aim to accelerate development and drive innovation across multiple technology nodes. Together, we are poised to set new benchmarks in the industry, fostering a robust and dynamic semiconductor landscape that will benefit all stakeholders.”
TEL is committed to supporting the Indian semiconductor ecosystem. Both the front-end and back-end product groups will provide resources and technology support to bring advanced TEL products to the Indian market. TEL will lead this effort by also offering diversified products for the MAGIC market (MAGIC—Metaverse, Autonomous Mobility, Green Energy, IoT & Information, Communications). TEL will actively explore opportunities to leverage India’s talent to establish an engineering service in India to support its global product development.
The post Tata Electronics and Tokyo Electron Limited (TEL) Announce Strategic Partnership to Grow Semiconductor Ecosystem in India appeared first on HIPTHER Alerts.

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