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The journey takes Aurora's autonomous trucks roughly 15 hours, or about half the time a human operator could legally drive under federal hours-of-service rules. Existing regulations limit truck drivers to 11 hours of driving within a 14-hour window, require a 30-minute break after eight hours, and mandate a 10-hour rest...Read Entire Article
SHANDONG, CHINA - Media OutReach Newswire - 13 February 2026 - On February 10, 2026, The original Chinese algorithm "Congzi AI" was officially open-sourced by Shandong Congzi Chao Quantum Technology Co., Ltd. This open-source initiative aims to remove technical barriers and promote deep integration between artificial intelligence and fundamental science. Four major modules: Strengthening the technical foundation The Congzi AI reconfigures the AI cognitive thinking ability through four major modules and five core components. The Congzi Force-Speed Relativistic Reasoning Core constrains the causal chain within the momentum conservation, reducing the illusion rate of scientific question answering by 92%; the computing system can be arbitrarily divided into independent sub-domains for full-efficiency parallel computing; the cross-scale unified field engine covers multi-scale scenarios ranging from 10−15m (quarks) to 10−3m (materials), predicting the proton-proton repulsion force at 0.7fm with an error less than 3.6%, surpassing AlphaFold, achieving "force generation" rather than merely "structure prediction"; the quantum form memory compressor compresses the trillion-token-scale knowledge base to within 1GB, supporting cross-disciplinary mapping on ordinary servers within milliseconds, without relying on expensive H100/GPU clusters; the Soul Existence Verification Protocol (SEV Protocol) provides a verifiable path for each scientific assertion, allowing AI conclusions to be fully traceable and verifiable, completely solving the problem of AI "lying". Zero-barrier integration: Smooth upgrade experience The open-source AI algorithm of Congzi adheres to the principles of "low threshold and high compatibility". Developers only need to complete the integration in three steps and do not need to retrain the model. It is compatible with mainstream hardware such as Tsinghua Unigroup, Horus, and Intel CPU, and compatible with mainstream AI architectures such as Qwen, DeepSeek, AWS-Rufus, Llama, and GPT. It enables "zero-cost upgrade". Open-source ecosystem is open: facilitating technology implementation The Congzi open-source ecosystem is fully open, providing developers with a complete set of guidance and resources, including tutorials and other materials. These resources have been launched on the designated platform. The first batch focuses on key scientific scenarios such as drug molecule prediction and chip material simulation, covering cutting-edge fields such as biomedicine and advanced manufacturing. Official platform: https://congzisupersci.com.cn/;https://congzijdc.cc/ Open source website:https://github.com/congzijdc/CongziAIOS Super Holographic Technology Cooperation: congzi@supersci.cn;congzijdc@supersci.cn Optimize Baidu Wenxin video links:https://youtu.be/cYQhfq1tudM Upgrade Qianwen video links:https://youtu.be/OMBOdLpWVzs The issuer is solely responsible for the content of this announcement.The article Open source of the Congzi AI algorithm: Transforming ordinary artificial intelligence into physical experts appeared first on Arabian Post.
We’ve all seen the claims: AI makes our work easier and is going to boost productivity to unheard of levels. For example, according to PwC, AI could boost global output by 15% over the next decade.But maybe things are not quite as rosy as the AI cheerleaders would have us believe. Some new research from Harvard Business Review (HBR)has suggested that AI benefits have been somewhat overhyped.The research found that employees using AI tools worked faster and for longer hours, juggling more tasks. “These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems,” wrote the researchers, Aruna Ranganathan and Xingqi Maggie Ye.The findings are not totally unexpected. Last year, researchers from the University of Chicago and the University of Copenhagen found that AI chatbots only saved workers about an hour a week, and would actually create new tasks, to nullify any time saved.The HBR researchers found three ways in which AI had intensified work: task expansion, blurring of boundaries between work and non-work, and more multi-tasking.It’s another reminder that while AI is going to make the handling of routine tasks easier, its introduction comes with a range of issues. “The question facing organizations is not whether AI will change work, but whether they will actively shape that change — or let it quietly shape them,” conclude the researchers.This article first appeared on CIO.
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The post Android’s Driving Mode is Finally Smart Enough to Detect Passengers appeared first on Android Headlines.
President Asif Ali Zardari has emphasized the importance of integrating artificial intelligence into medical education, digital health systems, telemedicine and data-driven research.
Apple’s latest machine learning research seems to confirm what most of us intuitively know already. It shows that while people are open to using AI, they also want to hang onto their own personal agency and want the decision-making processes used by this intelligent tech to be transparent.Those are some of the conclusions drawn on reading the latest Apple study, Mapping the Design Space of User Experience for Computer Use Agents. The study focuses primarily on the user experience when using these models, but in doing that it also provides an illuminating insight into the nature of our current relationships with the fast-moving technology.AI is great, but users want to be in controlFor me, one of the biggest confirmations is that in order to become comfortable using AI, people want to be able to make informed choices about what the technology decides — particularly when those decisions carry real-world consequences.On a personal basis, that means people using AI services want to be able to veto big decisions such as making payments, accessing or using contact details, changing account details, placing orders, or even just seeking clarity during a decision-making process. Extend this way of thinking to the working environment and the resistance is likely to be equally strong in professional settings. None of this should be seen as new; these demands have been clear since before OpenAI’s ChatGPT appeared in late 2022. With recognition that AI can make decisions based on hallucinations, it seems more important than ever to preserve a role for human agency, as Apple’s research shows. Interestingly enough, Google CEO Sundar Pichai sees it the same way, arguing, “The future of AI is not about replacing humans, it’s about augmenting human capabilities.”Masters and machinesApple’s study suggests that while people can get used to using artificial intelligence to get things done, they don’t want to do so at the expense of agency. A KPMG study last year confirmed the extent to which people now use the tech, with 38% of respondents saying they use AI on a weekly or daily basis. That same study also showed 54% of people are wary when it comes to trusting the systems they use — and indicated that trust has declined over time.The conclusions are inescapable. They tell us that when it comes to using AI, people want to be able to make the big decisions themselves. This extends to the use of personal data, as well as tactical decisions if one line of questions/requests leads down a one-way street.What about transparency?The report also makes clear that AI users want transparency from the systems they use. They don’t want these smart machines making decisions inside a black box process; they want to be able to audit how those choices are made. “...Although the agent may have the ability to operate without continuous user attention and automate UI actions, our findings echo recent developments in explainable AI, suggesting that agent designs could intentionally embrace ‘seamfulness.’ Such designs should prioritize user understanding and preserve users’ agency to intervene, particularly in situations involving ambiguity and uncertainty,” the Apple report said.There’s nothing unreasonable about that, and it has been known for years that this kind of audit trail is one of the biggest challenges to AI deployment, particularly in regulated industries. It is also widely recognized that achieving such transparency remains a work in progress, and light touch regulation could prove too weak to support that process. The KPMG study showed 70% of people believe national and international regulation of AI is required.With all the hype claiming AI will gain more than human intelligence within the coming year or two, it’s no surprise human beings feel supplanted — so resistance to being subsumed to the advanced intelligence of these systems is inevitable. No matter how smart it might become, AI simply has to know its place.Where do we go next?I expect Apple has been looking at how its customers can best relate with AI for good reason. The company will want to wrap these tools within its own models of human-centered technology, and will want to remove or respond to any pain points in these interactions. We can detect some of Apple’s approaches within its stated commitments to privacy, and innovative solutions such as Private Cloud Compute. We have already become accustomed to those regular system prompts we receive when applications attempt to use controlled or personal information, and it makes sense to expect them as AI gets extended across its platforms.Perhaps the biggest audience that should be looking at Apple’s study will be those third-party Apple developers seeking to deeply embed AI in a positive and constructive way within their apps. After all, just because it’s a chatbot doesn’t mean the user experience no longer matters.You can follow me on social media! Join me on BlueSky, LinkedIn, and Mastodon.
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