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三角洲航空公司确保美国立法者不会使用AI个性化票价
三角洲航空公司确保美国立法者不会使用AI个性化票价
2025-08-02 22:18:00
达美航空宣布将不会实施人工智能(AI)为个人乘客设定个性化的门票价格,以应对美国立法者的批评和公众关注。该航空公司前面提到的计划使用基于AI的收入管理技术,但强调其定价不考虑个人数据。参议员称赞了达美航空的承诺,但寻求有关收集数据类型的更多信息。美国航空公司首席执行官罗伯特·奥索姆(Robert Isom)还表示,使用AI进行价格设定可能会损害消费者信任。已提出立法,以根据个人数据限制公司使用AI来设定价格或工资,具体提及航空公司避免在发现与家庭ob告相关的搜索搜索后,避免了个性化的定价。Delta坚持认为,它使用动态定价,该价格基于各种因素(不包括个人客户详细信息)而波动。
据报道,蒂姆·库克(Tim Cook)告诉员工苹果(Apple)在AI中获胜|TechCrunch
据报道,蒂姆·库克(Tim Cook)告诉员工苹果(Apple)在AI中获胜|TechCrunch
2025-08-02 21:21:22
苹果首席执行官蒂姆·库克(Tim Cook)举行了一场全方手会议,强调公司在AI中领导AI的需求,此前承诺在收入电话期间大大增加AI投资。尽管Siri的升级延迟并承认落后于竞争对手,但库克通过引用过去的例子来鼓励员工,尽管苹果公司成功地以Mac,iPhone和iPad之类的创新为市场。
美国人过度劳累。AI可以改变吗? - 朱丽叶·肖尔(Juliet Schor) - 行为科学家
美国人过度劳累。AI可以改变吗? - 朱丽叶·肖尔(Juliet Schor) - 行为科学家
2025-08-02 18:46:23
与欧洲相比,美国已经向更长的工作时间转变,这与其较短的工作周期的历史模式不同。这种变化是由诸如雇主提供的卫生保健等结构性因素驱动的,由于成本结构,雇用雇员更少的雇员雇用更少。支付工资而不是小时工资的做法,导致弹性工作时间;并增加收入不平等,使个人工作更长的时间。数字技术和人工智能的影响为减少工作时间提供了机会,但需要故意的政策选择,以确保公司和员工之间公平地分享收益。
2025-08-02 16:05:46
'The race of our lifetimes': Here's what Trump's AI Action Plan means for Utah The Trump administration has released its "AI Action Plan,"撤销了前总统乔·拜登的AI护栏政策。犹他州领导人对此表示欢迎,认为该计划将加速AI创新、建设美国AI基础设施,并提升美国在国际AI外交和安全中的地位。犹他州商会总裁Derek Miller支持这一计划,称其为商业发展提供了良好条件,并强调了SaaS(软件即服务)行业与AI结合的潜力。此外,犹他大学启动了一项1亿美元的责任AI倡议,旨在以道德和负责任的方式推进AI技术的发展。 SALT LAKE CITY — The Trump administration last week unveiled its "AI Action Plan," revoking former President Joe Biden's signature AI guardrails. While Utah leaders on both sides of the aisle breathed a collective sigh of relief when the AI enforcement moratorium was axed from Trump's "big, beautiful bill," the vibe around the latest plan is far more positive. Salt Lake Chamber CEO and President Derek Miller said he's a firm believer in the notion that "AI is going to change everything." "We already see it happening," Miller said. The Beehive State hasn't been late hopping onto the AI bandwagon, either, being recognized around the world for having the "first and smartest of the AI regulations that have been proposed," Utah Gov. Spencer Cox said in June. These policies include bills that create a state-run AI policy lab, clarify consumer protection liability for AI and require AI disclosures in industries like finance and mental health. But what does the White House's newly released AI Action Plan do? Centered around three pillars, the plan aims to accelerate AI innovation, build American AI infrastructure and position the U.S. as a leader in international AI diplomacy and security. — Governor Cox (@GovCox) June 12, 2025 All of this, Miller said, is music to his ears and the ears of Utah's innovation and business community. "What I think is going to be the very best thing for business is the discussion about accelerating the innovation by removing the regulation. And it's not just a theory," Miller said, adding that Utah has already leaned into this approach. In Utah, businesses seeking to innovate with AI can go to the Department of Commerce and be placed in a "regulatory sandbox" where certain regulations will be removed. "To see the federal government taking that same regulatory approach is going to be very good, not just very good for business, but very good to put the United States at the forefront of the AI race," Miller said. Miller also spoke to how the proposed 10-year moratorium that was eventually struck from Trump's tax bill differed from the AI Action Plan in that it would've been more restrictive on a state-by-state level. "To the AI Action Plan ... my reading of it is that it's going to be a lot more friendly, and not saying one-size-fits-all, but really promoting AI. Not over-regulation, but instead AI innovation," Miller said. Of course, AI requires energy to power it — a substantial amount of energy. More specifically, data centers — the driving force behind AI — draw huge amounts of water from natural sources to circulate through the building-level cooling system, causing the water to absorb heat emitted to run the centers. "You have to have those data centers. They're not just important — they are critical. You don't have AI unless you have those data centers," Miller said. He also said that data centers aren't the "end-all be-all" on the food chain of the AI economy. It is the race of our lifetimes. It will determine our economy and the prosperity of our kids and our grandkids, and for the foreseeable future, about America winning this AI race and being dominant in it, and now we have a plan to do that. – Derek Miller, Salt Lake Chamber president and CEO "What Utah does really well in our tech industry is SaaS — software as a service. The innovations that were made over the last two decades in Utah in SaaS revolutionized, across the globe, how businesses did business. And now there's this awesome opportunity to incorporate AI into all of that SaaS software that will revolutionize again, how businesses around the globe do business. I think it would be a mistake for us to focus too much, or particularly only on the data center side of it," Miller said. The AI Action Plan promises to "continue to reject radical climate dogma and bureaucratic red tape" that the administration feels has slowed the buildout of AI infrastructure and the energy needed to power it. But how will that work in a state facing a significant water shortage? "We are a high mountain desert. We do have water challenges. It's our No. 1 constraint when it comes to our economy continuing to grow. And frankly, we do have energy challenges," Miller said. Still, he feels like the state of Utah is well-positioned to handle the ethical concerns surrounding AI. Miller specifically mentioned the University of Utah in 2023, launching its $100 million Responsible AI Initiative. The initiative will look to advance AI in a way that achieves "societal good" while also protecting privacy, civil rights and liberties and promoting principles of accountability, transparency and equity, the university said. Additionally, it will focus on harnessing AI to help with Utah and region-specific issues like public services, health care, sustainability, water resources and building the right workforce for the jobs of the 21st century. "What better place is there than Utah to think about 'How do we deal with this new tool in an ethical way and in a responsible way?'" Miller said. Above all, Miller said he thinks having a national vision for AI buildout is his favorite aspect of the plan. "We've got the plan as a country for how we're going to have AI dominance and none of us should make any mistake by not realizing and we should realize that this is just like the arms race, just like the space race, just like every other race, we are in a race of our own right now," Miller said. "It is the race of our lifetimes. It will determine our economy and the prosperity of our kids and our grandkids, and for the foreseeable future, about America winning this AI race and being dominant in it, and now we have a plan to do that." The Key Takeaways for this article were generated with the assistance of large language models and reviewed by our editorial team. The article, itself, is solely human-written.
通过混合机器学习方法增强UHPC光束的剪切强度预测
通过混合机器学习方法增强UHPC光束的剪切强度预测
2025-08-02 15:57:11
Sapkota等人的文章“通过混合机器学习方法增强了UHPC光束的剪切强度预测”。专注于使用先进的计算技术提高预测超高性能纤维钢筋混凝土(UHPFRC)梁的剪切强度的准确性和可靠性。该研究集成了混合机器学习模型以完善现有方法,从而解决了与UHPC物质行为在各种加载条件下相关的复杂性。**研究的关键组成部分:**1。**背景和目标:** - 与传统混凝土相比,该研究首先强调了UHPFRC的独特特性和益处,例如出色的抗压强度,拉伸韧性和耐用性。 - 它解决了当前的挑战,可以准确预测UHPC梁的剪切强度,这是由于其非线性行为以及诸如纤维类型,分布和体积等众多因素的影响。2。**方法论:** - 作者采用混合机器学习方法,将传统的统计模型与现代深度学习技术相结合。 - 它们集成了特征选择方法,以识别影响剪切强度的关键参数。 - 新颖的优化算法(如巨型舰队优化)用于模型中的参数调整。3。**数据和实验设置:** - 现有文献的全面数据集和有关UHPC光束的实验研究。 - 数据包括纤维增强混凝土,剪切跨度比,轴向负载水平等的各种配置,以确保涵盖各种场景。4。**模型开发和验证:** - 使用收集的数据集开发和培训混合模型。 - 诸如平均绝对误差(MAE),均方根误差(RMSE)和R-squared值之类的性能指标用于用于模型验证实验结果。5。**结果和讨论:** - 混合机器学习方法与传统方法相比,尤其是在复杂的加载条件下,表现出优异的预测精度。 - 通过特征重要性分析提供了影响影响剪切强度的不同输入参数的相对重要性的见解。6。**结论和未来工作:** - 研究得出的结论是,混合机器学习模型可显着增强UHPC梁的剪切强度的预测能力。 - 进一步研究的建议包括扩展数据集,以包括更多变量,探索新的优化技术以及整合实时数据以进行动态预测。7。**作者的贡献:**-Sanjog Chhetri Sapkota,Ajad Shrestha,Moinul Haq在调查,撰写原始草案,可视化,概念化,软件开发,方法论设计和数据策划方面做出了同样的贡献。 - Satish Paudel通过审查和编辑手稿,提供有关方法论的见解并帮助数据管理做出了贡献。 - Waiching Tang和Daniele Rocchio参与了验证,正式分析,资金获取和审查/编辑。8。**致谢:** - 作者承认他们的机构通过赠款和资源来支持这项研究。9。**竞争利益:** - 所有作者都没有宣称没有竞争利益。10。**道德批准:** - 不需要伦理批准,因为该研究涉及数据分析,而不是人类或动物受试者。本文代表了结构工程领域的重大进步,特别是关于在剪切载荷条件下,通过利用尖端机器学习技术在剪切载荷条件下的性能预测。**关键字:**超高性能纤维钢筋混凝土(UHPFRC),剪切强度预测,混合机学习模型,特征选择,巨型舰队优化
人工智能,地缘政治竞争的新边界
人工智能,地缘政治竞争的新边界
2025-08-02 14:00:00
文章讨论了中国与美国在人工智能(AI)中的地缘政治竞争日益增长的竞争,该竞争正在全球范围内改变经济和军事力量。两国都认为AI对未来的技术优势至关重要,美国专注于创新生态系统和私人投资,而中国则强调政府主导的计划,数据收集以及AI集成为国家安全。竞争涵盖了科学人才,计算硬件,标准设置,军事应用和数据控制,从而显着影响全球战略稳定,并定义下一个全球影响力时代。
C3.AI股票是购买吗?|Motley傻瓜
C3.AI股票是购买吗?|Motley傻瓜
2025-08-02 13:15:00
C3.AI的销售额正在增加,但由于首席执行官离开等挑战,今年截至7月28日,其股价在今年截至7月28日下降了约25%。尽管有这些问题,C3.AI报告在2025年第四季度的收入增长率为26%,并预测2026财年的收入大。与微软相比,价格与销售比率的下降,C3.AI由于其不断增长的销售额,强劲的资产负债表和改善财务而提供了投资机会。
我以AI的价格购买6股股票,关税争夺市场优势
我以AI的价格购买6股股票,关税争夺市场优势
2025-08-02 12:10:00
作者质疑市场是否处于AI泡沫状态,并讨论了AI与关税对市场绩效的潜在影响。他们专注于具有吸引力的产量的股息增长股票和ETF,估计选定股票的中途至高度位数股息增长。由于其高股息增长潜力,其产量为2.3%的资本股息种植者ETF被突出显示。文章表明,防御性产量策略可以在AI泡泡场景中提供安全性。高收益房东的成员获得独家投资思想和指导。
Big Tech今年在AI上花费了155亿美元。它将花费数千亿美元
Big Tech今年在AI上花费了155亿美元。它将花费数千亿美元
2025-08-02 12:01:00
美国最大的科技公司在2025年在人工智能发展上花费了超过1550亿美元,超过了政府在教育和社会服务方面的支出。Meta,Microsoft,Amazon和Alphabet等主要参与者正在增加其数据中心和AI基础设施的资本支出,预计将在未来财政年度预测超过4000亿美元。仅微软仅计划在AI上花费超过1000亿美元,而Apple表示其AI投资的大幅度增加而没有透露确切的数据。甚至像Openai这样的较小的球员也正在筹集大量资金来在不断发展的AI市场上竞争。
确切地说,“ Netflix的AI”是谁?
确切地说,“ Netflix的AI”是谁?
2025-08-02 12:00:27
亚马逊已经投资了寓言,这是一家海湾地区的初创企业,重点介绍了其表演者服务,被描述为“ AI的Netflix”。该平台使用户可以使用关键字创建,观看和个性化动画系列,从而有可能从原始创作和现有电视节目模板中汲取灵感。