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奇爱博士会用人工智能做什么?
奇爱博士会用人工智能做什么?
2024-12-01 09:20:29
人工智能预言家预测,战争将从人类驱动的军事力量之间的竞争转变为相互竞争的机器系统之间的冲突。
认识 AIMEE:伦敦希思罗机场测试人工智能协助空中交通管制员
认识 AIMEE:伦敦希思罗机场测试人工智能协助空中交通管制员
2024-12-01 07:56:00
伦敦希思罗机场正在测试名为 AIMEE 的人工智能系统,以协助空中交通管制员,解决人员短缺问题,并旨在提高安全性和效率。该系统处理了 40,000 次航班的数据,集成雷达和视频以进行实时飞机监控。与此同时,欧洲面临严重的空中交通管制能力短缺,导致航班延误和取消,航空公司呼吁采取紧急行动解决这一问题。
你什么时候会死?这个人工智能驱动的“死亡时钟”似乎有答案
你什么时候会死?这个人工智能驱动的“死亡时钟”似乎有答案
2024-12-01 07:09:57
Death Clock 应用程序于 7 月推出,利用人工智能和来自 1,200 多项研究(涉及 5300 万参与者)的数据来预测用户的预期寿命。它的下载量已达 125,000 次,通过考虑饮食、锻炼、压力水平和睡眠模式等因素,帮助做出健康决策和财务规划。该应用程序的潜力不仅限于个人健康,还影响退休储蓄和投资,提供比当前经济计算中使用的平均值更准确的预期寿命预测。
彭博社 - 你是机器人吗?
彭博社 - 你是机器人吗?
2024-12-01 07:00:00
已检测到异常网络活动,要求用户单击一个框以确认他们不是机器人。建议用户确保其浏览器支持 JavaScript 和 cookie。如需帮助,请使用提供的参考 ID 联系支持团队。
Cyber​​geddon:人工智能引发新的数字冷战
Cyber​​geddon:人工智能引发新的数字冷战
2024-12-01 06:32:54
人工智能正在将网络安全转变为一场高风险的军备竞赛,攻击者和防御者都可以利用该技术来发挥自己的优势。网络犯罪分子利用人工智能发起复杂的攻击,利用人类的漏洞,使传统的安全模型变得过时。CISO 必须采用人工智能驱动的防御工具,同时保持对关键决策的人工监督。公共和私营部门之间的合作对于在新的数字环境中领先于威胁至关重要。挑战在于将人类创造力与机器智能相结合,以应对日益复杂的人工智能驱动的攻击。
机器学习有助于长期沿海海平面上升预测 - DeeperBlue.com
机器学习有助于长期沿海海平面上升预测 - DeeperBlue.com
2024-12-01 06:18:19
美国国家海洋和大气管理局地球物理流体动力学实验室和普林斯顿大学的研究人员利用机器学习根据海洋环流模式的变化来预测长期沿海海平面上升。他们的模型涵盖了 5000 年的数据,可以准确预测未来八年的海平面变化,有助于更好的长期规划和政策制定。
新报告显示人工智能概述趋势正在稳定
新报告显示人工智能概述趋势正在稳定
2024-12-01 03:50:28
10 月份的数据显示,各行业的人工智能概览 (AIO) 出现了重大转变和稳定。9 月份 YouTube 引用量激增 400-450%,10 月份稳定在 8 月份基线的 115% 左右。Travel AIO 引用量增长了 700%,表明谷歌对 AI 旅游推荐充满信心。这一趋势凸显了本地化和季节性内容优化的机会。AIO 日趋成熟,日增长率放缓至 1.3%,波动性降低,存在稳定,为关键词触发提供了更多可预测性。教育主题稳步增长,B2B 和医疗保健保持稳定。
2024-12-01 00:02:12
How Indigenous engineers are using AI to preserve their culture Indigenous researchers face紧迫的时间压力,全球4000种土著语言中,每两周就有一种消失。Michael Running Wolf, Indigenous in AI的创始人,表示在未来5到10年内,美国大多数原住民语言将面临灭绝的风险。Running Wolf领导First Languages AI Reality项目,旨在为北美200多种濒危土著语言建立语音识别模型。然而,该项目面临的重大障碍是缺乏既懂语言又了解文化的土著计算机科学家毕业生。目前,每年仅有少数土著人在科技行业工作或获得计算机科学学位,Native-founded公司仅获得极少量的风险投资资金。为了改变这一状况,一些土著工程师正在通过组织如First Languages AI Reality和Tech Natives等项目来培训原住民学生,以保护本土文化和语言,并开发文化相关的计算机课程。此外,AI也被用于填补其他方面的土著文化空白,包括虚拟现实体验和艺术创作实践。 Indigenous researchers are up against a ticking clock: Of the 4,000 Indigenous languages worldwide,  one dies every two weeks  with its last speaker. “Within the next five to 10 years, we’ll lose most of the Native American languages in the U.S.,” Michael Running Wolf, founder of  Indigenous in AI , an international community of Native, Aboriginal, and First Nations engineers, said.  Running Wolf has dedicated his career to preventing this loss. He leads  First Languages AI Reality , an initiative of the Mila-Quebec Artificial Intelligence Institute, where researchers are building speech recognition models for over  200  endangered Indigenous languages in North America. However, first, he must overcome a major roadblock: There aren’t enough Indigenous computer scientist graduates — people who know the language and culture — to tackle these language preservation projects. Running Wolf emphasized that Indigenous scientists know to respect the data itself. “The core data we use isn’t just tweets or social media posts; it’s deeply culturally identifying information from speakers who may have passed away,” he said. “We need to make sure that the community is always retaining their relationship to the data.” Running Wolf said that in his years of artificial intelligence research, he’s only come across about a dozen Indigenous North American AI scientists. “We only graduate one or two Indigenous Ph.D.s in AI and computer science every year,” he said.   Indigenous people make up  less than 0.005%  of the tech workforce in the U.S., hold only  0.4% of bachelor’s degrees  in computer science every year and have  one board member  at the top 200 tech companies. In 2022, Native-founded companies only received a mere  0.02%  of total venture capital funding. That’s where the handful of Indigenous engineers who do exist come in: They are leading organizations like First Languages AI Reality,  IndigiGenius ,  Tech Natives  and the  Wihanble S’a Center for Indigenous AI  to train Native American, Alaska Native and Native Hawaiian computer science students to preserve Indigenous culture and language.  “Traditionally, AI assumes that data is proprietary, and that can be harmful for Indigenous communities,” Running Wolf said. “We want to demonstrate that we can succeed in our mission of reclaiming Indigenous languages ethically with ethical AI protocols.” Building the Indigenous-tech pipeline Kyra Kaya is one of the dozens of beneficiaries of the tech training program  Tech Natives , an organization of Indigenous women in tech that offers mentorship and recruitment opportunities on college campuses.   Studying computer science at Yale University, Kaya was inspired to build an AI tool that would honor her Native Hawaiian grandmother, with whom she spent summers in Maui. “I realized many Native Hawaiians don’t have access to technology that many people take for granted,” the 20-year-old said. She fed the tool Hawaiian Pidgin English, a  heavily stigmatized  English-based  creole language  used by many Hawaii residents, and trained it to recognize spoken phrases. “I wanted to change the narrative around pidgin as a ‘lesser language,’” she said. “I input phrases that my grandmother, aunties and mother used and got it to identify them.”  Kaya hopes to turn her work into an app accessible to other Hawaii locals. “AI and the tech industry have the power to either uplift or silence marginalized groups like mine,” she said. “That’s why Indigenous people can and should play a large role in it.”  Researchers say getting more Indigenous people into the tech industry begins with piquing their interest at a young age. In South Dakota every summer, IndigiGenius’  Lakota AI Code Camp  brings together Native teens for three weeks to  design an app  that documents the Lakota culture, including sacred plants and everyday Lakota words. Since its launch in 2022, the code camp has trained 33 students to contribute to the app, many of whom have returned as instructors or pursued other computer science projects. To continue tech education throughout the school year, IndigiGenius has also launched T3PD, training a group of 20 mostly Native high school teachers across the country to develop culturally relevant computer science courses at their schools.  Only 67%  of Native students have access to a computer science course, lower than any other student demographic, and the organization is partnering with teachers to bring laptops and computer science classes to their students.  “It’s about making AI education culturally relevant for students,” IndigiGenius Executive Director Andrea Delgado-Olson said. “What sets us apart is how we’re utilizing Indigenous knowledge to bridge technology with our traditions.”  Preserving other aspects of Indigenous culture with AI  AI is also helping to fill Indigenous cultural gaps beyond language. As a child, Madeline Gupta seldom visited her Chippewa lands. But as she grew older, the call to return to her ancestral lands grew stronger. “I had this feeling that I belonged on that land, that my ancestors wanted me there,” Gupta said.  She said that after the government  tore tribal members away from their land  and their families  from 1819 to 1969 , many were disconnected from their roots. “My tribe has about 50,000 people, but only 2,000 of them live on the reservation,” the 21-year-old Yale student said. “That means thousands of students haven’t seen their own lands.”  In college, Gupta joined the Tech Natives program and proposed an immersive virtual reality experience for Native youth to “visit” their traditional lands in the Great Lakes region. After securing funding from the Aspen Institute and the Yale School of Medicine, Gupta traveled to Mackinac Island this past summer to film and record stories from tribal elders, capturing 3D spatial video on her phone, then recording the audio stories to accompany it. She hopes to create a virtual reality map of the island that users can click into to view videos related to the area. “I want to reach people who don’t currently feel connected to the land or don’t know our stories,” she said.  In addition to cultural preservation, artists are also using artificial intelligence in their creative practices. Suzanne Kite at Bard College’s Wihanble S’a Center for Indigenous AI describes herself as one of the first American Indian artists to use machine learning in art. “My question is simple: How do we create ethical art with AI by applying Indigenous ontologies?” she said.  Kite dug into the Lakota dream language to process the knowledge that her family received through their dreams from spirits and animals. She spent three months last year recording all of her dreams, then used machine learning to translate the contents into a Lakota women’s geometric language commonly used in beadwork and quiltwork. She also turned her dreams into a graphic score for the  American Composers Orchestra . “I try to resist Western personification of AI and instead dig into the hyperlocal, grounded and practical frameworks of knowledge that American Indigenous communities provide,” Kite said.  While many of these Indigenous AI projects are in their early stages, Running Wolf hopes programs like his will be irrelevant in a decade or two. His dream is to revive dying languages and enable new generations of Native speakers to create ethical tech. “I hope this technology will be remembered as an artifact of a troubled time,” he said.  For Related Stories:   Indigenous People
现在值得买入的 2 只顶级人工智能 (AI) 股票 |杂七杂八的傻瓜
现在值得买入的 2 只顶级人工智能 (AI) 股票 |杂七杂八的傻瓜
2024-11-30 23:03:00
由于人工智能热潮,英伟达和微软等公司的强劲业绩推动了美国股市继续表现良好。尽管市场接近历史最高点,但人们对持续增长持乐观态度,主要科技公司对人工智能的大量投资预计明年将超过 2500 亿美元。到 2030 年,人工智能带来的收入可能超过 8200 亿美元。戴尔和亚马逊是两家被重点关注的潜在长期回报公司。戴尔受益于数据中心基础设施不断增长的需求,最近一个季度的收入增长达到创纪录的 38%。与此同时,亚马逊正在通过对新数据中心的大量投资来扩展其 AWS 服务。尽管在当前高水平进行投资存在风险,但这两只股票在人工智能驱动的市场趋势中提供了引人注目的机会。这
AI Memecoin 狂热和 Agentic Web 背后的 AI 代理解释
AI Memecoin 狂热和 Agentic Web 背后的 AI 代理解释
2024-11-30 22:57:29
最近几个月,加密社区内对人工智能代理的兴趣激增,这主要是由人工智能模因币及其与去中心化技术的集成推动的。与传统机器人不同,人工智能代理拥有自主权,可以根据环境分析和决策能力独立执行任务。这尤其引起了人们对贸易领域的兴趣。这些人工智能驱动的资产的兴起始于诸如 Terminal of Truths 之类的半自主人工智能代理,它推动了 Goatseus Maximus 等模因币的发展。虽然当前的人工智能代理通常专注于通过社交媒体 API 推广代币,但更自主和社区治理的人工智能经济体仍有潜力。这种向代理网络技术的发展预示着未来人工智能交互将主导在线活动,通过引入委托作为附加层,建立在 Web3 的去中心化承诺之上。