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  • Security forces killed 6 indian backed terrorists in Dalbandin, Baluchistan

    Security forces killed 6 indian backed terrorists in Dalbandin, Baluchistan

    DALBANDIN: Security forces successfully eliminated six Fitna-al-Hindustan terrorists during an operation in Dalbandin, Chagai district, Balochistan.

    As per security forces sources, the terrorists had taken refuge in a cave under continuous aerial…

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  • Powering the Next Space Age

    Powering the Next Space Age

    Government ambitions in space are approaching what some may still think of as science fiction. In August 2025, NASA set a 2030 target for construction of a lunar nuclear reactor to support the US-led and EU-supported Artemis program’s plan for a permanent moon base.  While this target faces significant technical and financial challenges, it reflects a real sprint to outcompete autocratic rivals. China and Russia are coordinating on a similar “International Lunar Research Station” powered by a nuclear reactor for completion in the mid-2030s.

    Emerging technologies are key drivers of this new space race. Analysts with experience at the European Space Agency, NASA, MIT, and in the private space sector argue that these technologies could make a cislunar economy—economic activity spanning Earth, the Moon, and the space between—feasible by mid-century, though experts debate when key capabilities will mature. Key technologies include:

    • artificial intelligence (AI), which could facilitate autonomous in-space servicing and assembly (ISAM), enabling individually-launched modular components to self-assemble into mega-structures such as next-generation telescopes and orbital refueling stations. Even factories could be built this way, leveraging microgravity and space extremes to produce items impossible to make on earth, with applications in fiber optics, semiconductors, and novel materials. The first pieces of this world are already here: US-based Varda Space Industries uses microgravity for biopharmaceutical drug development.
    • quantum technologies, which could safeguard military and commercial data in space using a network of quantum-encrypted satellites. Space-based atomic clocks developed by the European Space Agency could synchronize these systems and allow greater autonomous navigation in deep space. Emerging quantum sensors measure tiny gravitational fluctuations to identify more-and-less dense materials below the Earth’s surface, enabling satellites to map aquifers and critical mineral deposits. The same measurements could identify high-value sites for mining on the Moon.
    • biotechnologies, which could be key to sustaining long-term human activity in cislunar space. Researchers are engineering lightweight, self-healing composites made from fungi to serve as radiation shields for space stations and Moon bases. Near-future synthetic biology applications could reduce the need to resupply space habitats through the use of bioregenerative life support systems that generate oxygen and food.

    The United States and the EU already support these industries; the EU’s draft Space Act and the Trump administration’s August executive order on commercial space development each signal backing for the industry. Yet, staying ahead of China demands more. Allies should leverage complementary strengths by investing in each other’s commercial space sectors and reducing barriers to integrating advanced capabilities. These steps will not suffice by themselves, but they would materially boost competitiveness—positioning the United States and the EU to outpace China and unlock the cislunar economy.

     

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  • Humans Evolved Fastest Amongst Apes

    Humans Evolved Fastest Amongst Apes

    Humans evolved large brains and flat faces at a surprisingly rapid pace compared to other apes, likely reflecting the evolutionary advantages of these traits, finds a new analysis of ape skulls by UCL researchers.

    The paper, published in the…

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  • Franklin SS, O’Brien E, Thijs L, Asayama K, Staessen JA. Masked hypertension a phenomenon of measurement. Hypertension. 2015;65:16–20.

    Article 
    CAS 
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    Google Scholar 

  • Williams B, Mancia G,…

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  • Hashimoto Daiki claims third men’s all-around crown

    Hashimoto Daiki claims third men’s all-around crown

    Japan’s Hashimoto Daiki captured the men’s all-around gold medal Wednesday evening (22 October) at the 2025 World Gymnastics Championships in Jakarta, Indonesia.

    The 24-year-old earned a total score of 84., holding off an impressive challenge…

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  • LayerX Becomes First Enterprise Browser Security Platform

    LayerX Becomes First Enterprise Browser Security Platform

    NEW YORK, Oct. 22, 2025 (GLOBE NEWSWIRE) — LayerX Security, the leader in enterprise browser security, today announced that it is the first browser security company to support OpenAI’s newly released agentic AI browser, ChatGPT Atlas. This…

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  • Just a moment…

    Just a moment…

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  • PM Shehbaz commends Information Secretary Ambreen Jan for dedicated service on retirement

    PM Shehbaz commends Information Secretary Ambreen Jan for dedicated service on retirement

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    ISLAMABAD, Oct 22 (APP):Prime Minister Muhammad Shehbaz Sharif on Wednesday lauded the services of Federal Secretary for Information and Broadcasting, Ambreen Jan, during her farewell call at the Prime Minister’s…

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  • Florian Schneider’s Kraftwerk equipment to go on sale, expected to fetch up to $650,000 | Kraftwerk

    Florian Schneider’s Kraftwerk equipment to go on sale, expected to fetch up to $650,000 | Kraftwerk

    He was a pioneer of electronic music whose band Kraftwerk redefined the sound of pop and influenced artists from David Bowie and New Order to Coldplay and Run-DMC.

    Now the electronic equipment and musical instruments Florian Schneider used to…

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  • Workday Introduces New Custom AI Model Library to Power Smarter, Faster Contract Reviews

    Workday Introduces New Custom AI Model Library to Power Smarter, Faster Contract Reviews

    With 120+ Pre-Built AI Models, the Workday Contract Intelligence Agent Helps Customers Quickly Analyze Contracts, Flag Risks, and Gain Insights Across HR, Finance, Legal, IT, and More

    PLEASANTON, Calif., Oct. 22, 2025 /PRNewswire/ — Workday, Inc. (NASDAQ: WDAY), the enterprise AI platform for managing people, money, and agents, today announced a new Custom AI Model Library for the Workday Contract Intelligence Agent, powered by Evisort. The library includes more than 120 pre-built AI models trained to identify key clauses, risks, line items, and terms in contracts — from HR agreements to vendor contracts to sales deals. By giving organizations access to these specialized models, Workday is enabling faster contract reviews, earlier risk detection, and significantly less manual effort.

    The Workday Contract Intelligence Agent already helps legal and business teams make smarter decisions by reviewing contracts at scale to flag risks, track obligations, and uncover opportunities. With the addition of the Custom AI Model Library, customers can now automatically analyze a wider range of contract terms — from employment agreements and vendor security clauses to payment schedules, data privacy obligations, and renewal provisions — across HR, Finance, Legal, IT, and Sales. The new models are pre-trained and ready to deploy, but customers can also refine them further by simply providing feedback — no coding required.

    “AI in the enterprise often delivers piecemeal automation without true transformation,” said Jerry Ting, vice president, head of agentic AI & Evisort, Workday. “We aren’t just adding features; we are giving our Contract Intelligence Agent new skills that help solve real business problems. Our goal is to make deep, complex contract analysis fast and actionable for every team.”

    The Custom AI Model Library delivers a deeper level of contract analysis by enabling models to summarize, calculate, and classify key terms — turning complex documents into actionable insights. With these new models, teams can:

    • Summarize complex employment terms, like non-competes, in plain language and connect them across systems.
    • Identify and extract financial details such as dates, amounts, and addresses to enable faster, more accurate invoice processing.
    • Analyze terms related to data privacy, security, access, minimization, and deletion across a range of contract types.
    • Extract lease agreement terms such as square footage, property tax requirements, and rights of first refusal, and summarize detailed repair and maintenance obligations.
    • Analyze terms from sales agreements like publicity and logo rights, included products and services, and uplift on renewals — and share them with CRMs.

    For more information

    • Learn more about Evisort’s AI-powered contract intelligence and contract lifecycle management solutions available through Workday here.
    • Visit the Workday Marketplace to learn more about our contract intelligence agent here.

    About Workday
    Workday is the enterprise AI platform for managing people, money, and agents. Workday unifies HR and Finance on one intelligent platform with AI at the core to empower people at every level with the clarity, confidence, and insights they need to adapt quickly, make better decisions, and deliver outcomes that matter. Workday is used by more than 11,000 organizations around the world and across industries – from medium-sized businesses to more than 65% of the Fortune 500. For more information about Workday, visit workday.com.

    © 2025 Workday, Inc. All rights reserved. Workday and the Workday logo are registered trademarks of Workday, Inc. All other brand and product names are trademarks or registered trademarks of their respective holders.

    Forward-Looking Statements
    This press release contains forward-looking statements including, among other things, statements regarding Workday’s plans, beliefs, and expectations. These forward-looking statements are based only on currently available information and our current beliefs, expectations, and assumptions. Because forward-looking statements relate to the future, they are subject to inherent risks, uncertainties, assumptions, and changes in circumstances that are difficult to predict and many of which are outside of our control. If the risks materialize, assumptions prove incorrect, or we experience unexpected changes in circumstances, actual results could differ materially from the results implied by these forward-looking statements, and therefore you should not rely on any forward-looking statements. Risks include, but are not limited to, risks described in our filings with the Securities and Exchange Commission (“SEC”), including our most recent report on Form 10-Q or Form 10-K and other reports that we have filed and will file with the SEC from time to time, which could cause actual results to vary from expectations. Workday assumes no obligation to, and does not currently intend to, update any such forward-looking statements after the date of this release, except as required by law.

    Any unreleased services, features, or functions referenced in this document, our website, or other press releases or public statements that are not currently available are subject to change at Workday’s discretion and may not be delivered as planned or at all. Customers who purchase Workday services should make their purchase decisions based upon services, features, and functions that are currently available.

    SOURCE Workday Inc.

    For further information: For further information: Investor Relations: ir@workday.com, Media Inquiries: media@workday.com

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