Failure Analysis and Factors Influencing Spline Wear in Hydraulic Motors...

Presentation Title: Failure Analysis and Factors Influencing Spline Wear in Hydraulic Motors of Charging Pumps in Nuclear Power Plants 

The International Conference on New Science Inventions is probably a platform for experimenters, scientists, masterminds, and originators to present their rearmost advancements and discoveries in the field of wisdom and technology. International Research Awards on New Science Inventions 

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Publisher Day 2024: The road ahead for scholarly publishing

In the lead up to the London Book Fair, on Monday 11th March we held our annual Digital Science Publisher Day. Guided by the overarching theme of ‘The Road Ahead’, the in-person event provided an opportunity to explore what the future roadmap for scholarly publishing may hold. It was an action-packed day for the publishing community, with keynotes, panel discussions, and plenty of networking! 

After a welcome and introduction from Digital Science’s MD of Publisher Sales, Helen Cooke, we kicked off the day with a keynote from Mark Hanhel, our VP of Open Research. Mark shared where he predicts experimentation will lead in the ever-changing global academic publishing landscape, and what Digital Science can do to support publishers with data, tools and insights. 

Mark Hahnel, VP of Open Research, speaking at Digital Science Publisher Day.

Following Mark’s keynote, we had a series of lightning talks to share product updates and roadmaps for our publisher solutions. Amye Kedall, VP of Product, presented exciting updates from Dimensions and Altmetric, and explained how Digital Science is adopting AI in our product development plans to help publishers drive discovery of content and do more with less. 

Claire Turner, SVP Commercial, shared Figshare’s updated roadmap format. She explained how the Figshare team plans to expand their capabilities to support capturing engaging content, streamline researcher experiences, enhance administrative workflows, and update core capabilities.

Next up was Juan Castro, CEO and Co-Founder of Writefull, who presented on Writefull’s AI-powered language and metadata solutions for publishers, and how they have streamlined the workflow of a leading chemistry publisher. 

After a networking break, we held our first panel of the day. The panel was moderated by Cathy Holland from Digital Science, who was joined by Andreea Moldovan from Sage, Jon Treadway from Great North Wood Consulting, Becky Moakes from Maverick, and Ian Potter from Frontiers. The panel had a lively discussion on the journey of adapting to AI in scholarly publishing – weighing up the positive and negative impacts, and looking ahead to see whether AI is, or will ever be, the new normal.

The next panel (pictured below) was moderated by Tyler Ruse of Digital Science. Pooja Aggarwal from Bloomsbury, James Butcher from Journalology, Ritu Dhand from Springer Nature, and Lisa Walton from BMJ. They discussed how the UN’s Sustainable Development Goals (SDGs) are affecting publishing and editorial strategies, how to measure success in the SDGs, the importance of the SDG Publishers Compact, and what the path to 2030 could look like. 

Panel session at Digital Science Publisher Day (from left): Tyler Ruse (Digital Science), Ritu Dhand (Springer Nature), James Butcher (Journalology). Lisa Walton (BMJ) and Pooja Aggarwal (Bloomsbury).

Following a publishing industry quiz, we had our third and final panel of the day, which was moderated by Digital Science’s Nigel Thompson. Nigel was joined by Hannah Barnsley from the Royal Society of Chemistry, Simon Boisseau from Accucoms, Bernie Folan from OASPA, and Rhodri Jackson from Oxford University Press. The panel spoke about open access trends and models, the role wider initiatives play in supporting OA, and where they think the OA movement is heading.  

As the day drew to a close, Jessica Miles from Holtzbrinck Publishing Group delivered a thought-provoking keynote, reflecting on the past, present, and future of STM publishing workflows. She spoke about how the workflows have been shaped by distinct periods of digital transformation: from establishing infrastructure for digital content creation in the move from print to digital, to the expansion of the publishing workflow influenced by AI and machine learning, to how AI will impact the fundamental value proposition of STM publishing going forward.

We concluded the day by enjoying some networking drinks. Once again, we’d like to send our heartfelt thanks to everyone who attended and spoke at this year’s Publisher Day, and we look forward to next year’s event.

Want to learn more about our solutions for publishers? Visit our webpage, or get in touch with the publisher team at: publishing@digital-science.com

About the Author

Olivia King, Marketing Segment Lead, Publisher | Digital Science

Olivia King is Marketing Segment Lead for the Publisher segment at Digital Science. In this role, she manages the publisher marketing activities and strategy across the Digital Science publisher solutions, including Writefull, Altmetric, Dimensions and Figshare. Before joining Digital Science, Olivia worked in journals marketing at Sage Publishing.

The post Publisher Day 2024: The road ahead for scholarly publishing appeared first on Digital Science.

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International Research Awards on New Science Inventions

 News: DeepMind AI with built-in fact-checker makes mathematical discoveries

International Research Awards on New Science Inventions
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The AI company DeepMind claims it has developed a way to harness the creativity of chatbots to solve mathematical problems while filtering out mistakes


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Google DeepMind claims to have made the first ever scientific discovery with an AI chatbot by building a fact-checker to filter out useless outputs, leaving only reliable solutions to mathematical or computing problems.

Previous DeepMind achievements, such as using AI to predict the weather or protein shapes, have relied on models created specifically for the task at hand, trained on accurate and specific data. Large language models (LLMs), such as GPT-4 and Google’s Gemini, are instead trained on vast amounts of varied data to create a breadth of abilities. But that approach also makes them susceptible to “hallucination”, a term researchers use for producing false outputs.

Gemini – which was released earlier this month – has already demonstrated a propensity for hallucination, getting even simple facts such as the winners of this year’s Oscars wrong. Google’s previous AI-powered search engine even made errors in the advertising material for its own launch.

One common fix for this phenomenon is to add a layer above the AI that verifies the accuracy of its outputs before passing them to the user. But creating a comprehensive safety net is an enormously difficult task given the broad range of topics that chatbots can be asked about.

Alhussein Fawzi at Google DeepMind and his colleagues have created a generalised LLM called FunSearch based on Google’s PaLM2 model with a fact-checking layer, which they call an “evaluator”. The model is constrained to providing computer code that solves problems in mathematics and computer science, which DeepMind says is a much more manageable task because these new ideas and solutions are inherently and quickly verifiable.

The underlying AI can still hallucinate and provide inaccurate or misleading results, but the evaluator filters out erroneous outputs and leaves only reliable, potentially useful concepts.

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