๐บ๐ธ ๋ฏธ๊ตญ ยท IT/๊ธฐ์ ยท "CONS" ยท ์ด 188๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
49.7
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 1,261๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 49.7(๊ท ํ)์ ๋๋ค. ๊ธ์ 81๊ฑด(6.4%)ยท์ค๋ฆฝ 1,069๊ฑด(84.8%)ยท๋ถ์ 111๊ฑด(8.8%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ -5.5(์ค๋ ๊ท ํ)์ ๋๋ค.
A Chinese state-backed satellite company is signing the partners and governments Starlink has pushed aside, days before SpaceXโs record listing.
After many high-profile corporate customers complained about the high fees attached to AI models and the practice of โtokenmaxxingโ, OpenAI is considering discounting its services as competition with Anthropic gets cut-throat
European economy airline Ryanair is under investigation in the UK for charging parents mandatory fees to sit with their children. The Competition and Markets Authority (CMA) said it was looking into whether the seating fees, which may be charging parents for the airline to meet its child safety and disabilityโrelated obligations, are "unfair" under consumer [โฆ]
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OpenAI is reportedly mulling drastic price cuts to its AI models, as it looks to woo consumers from rival AI company Anthropic, the WSJ reported on Wednesday.
{beacon} Technology Technology The Big Story Compute becomes lifeblood, constraint of AI boom Computing power has become the lifeblood โ and a key limiting factor โ of the race to develop AI, as the push to integrate the technology into daily life clashes with the finite supply of one of its most crucial inputs....
The EPICS (Engineering Projects in Community Service) in IEEE program, administered by IEEE Educational Activities, has launched the Excellent EPICS in IEEE Contributor Awards. The recognitions honor the programโs outstanding students and faculty volunteers in Excellent Team Leader and Excellent Faculty Advisor categories. The awards recognize individuals whose leadership, mentorship, and commitment have meaningfully advanced the impact of EPICS projects. Candidates must demonstrate clear, measurable contributions that elevate both the student experience and the outcomes delivered to community partners. Reviewers also consider other awards, publications, presentations, and professional achievements that reinforce the nomineeโs credibility and leadership. Recipients must demonstrate outstanding project management and documentation, strong mentoring and collaboration, and high-quality outcomes. Here are this yearโs recipients. Team Leader Award Surattana Kakay is a computer engineering student at Rajamangala University of Technology Thanyaburi (RMUTT), located in IEEE Region 10 (Asia Pacific). Kakay, an IEEE student member, was honored for guiding her team in the design, development, and implementation of the Automatic Water Level Control System project, which aids rice farmers in Thailand. As the team leader, Kakay played a pivotal role in transforming the student initiative into an operational, communityโcentered solution. Her inspiration was purpose-driven, she says. โMy motivation was to apply engineering to real agricultural challenges, like water scarcity and climate change,โ she says. โI wanted to bridge advanced technology with the tangible needs of local farmers.โ She managed the project end to endโcoordinating workflow, assigning tasks based on team membersโ strengths, and ensuring each phase of development aligned with the technical road map she created. She served as the primary liaison between the student team, the Pathum Thani Rice Research Center, and farmers to make sure the system was practical and userโfriendly, and that it addressed community needs. โWatching students grow as they design solutions that improve lives has been both inspiring and deeply humbling.โ โElizabeth Vidal-Duarte Under her leadership, the team developed a lowโcost IoTโbased alternate wetting and drying (AWD) system that lets farmers remotely monitor and control water levels in rice paddies using smartphones. Kakay oversaw the integration of noncontact laser timeโofโflight sensors to withstand harsh field conditions, and she championed the use of long-range technology connected to a free community WiโFi network to eliminate Internet service fees. The results were transformative, Kakay says. โOur AWD system reduces water consumption by 63 percent and methane emissions by 7 percent annually,โ she says. โTurning an academic assignment into a realโworld solution that delivers measurable, sustainable results has been incredibly meaningful.โ Her achievements advanced sustainability for Thailandโs most waterโintensive crop while demonstrating the potential of accessible engineering solutions. Beyond technical innovation, Kakay cultivated a culture of learning, continuity, and empowerment within her team. She introduced a mentorship framework to support future student cohorts. She and her team produced academic papers, visual media, and presentations to communicate the projectโs value to scientific audiences as well as the general public. โSurattana Kakay is a pivotal figure in turning innovation into reality and delivering tangible benefits to the community,โ says IEEE Member Thanasin Bunnam, her faculty advisor and an assistant professor at RMUTT. Kakayโs leadership journey became a personal milestone, she says: โLeading this project transformed me from a student into a team leader. As a female engineer, it empowered me to advocate for women in engineering and show that gender is no barrier to technical excellence.โ Through her guidance, the AWD project evolved from a classroom assignment into a solution that illustrates IEEEโs mission of advancing technology for humanity. Faculty Advisor Awards Navid Shaghaghi, a lecturer and researcher at Santa Clara University, in California, was recognized for his dedication to integrating service learning into engineering education and fostering student innovation that benefits underserved communities in IEEE Region 6 (Western USA). During his more than six years of engagement with EPICS in IEEE, Shaghaghi, an IEEE senior member, has demonstrated exceptional leadership in advancing sustainable, humanโcentered engineering through the longโrunning Hydration Automation (HA) project and the HiveSpy initiative. They are part of Santa Clara Universityโs Frugal Innovation Hub and EPIC Research Laboratory. Since 2019, Shaghaghi has served as principal investigator for the HA project, guiding its evolution from prototype to a robust, fieldโtested irrigation automation system that supports small ranches and community farms in California. The HA project is a lowโcost system that helps reduce water waste by monitoring soil moisture and automating watering. By combining ultrasonic tank sensing, soil sensors, and ongoing technical support, the project improves efficiency, lowers operational costs, and promotes more sustainable urban agriculture. Under Shaghaghiโs guidance, more than 30 undergraduate and graduate students have gained hands-on experience in IoT development, field deployment, testing, and client collaboration. His commitment to frugal innovation and humanโcentric design has resulted in solutions that are minimalist, affordable, sustainable, portable, and ruggedโoften challenging conventional approaches to agricultural technology. โTurning an academic assignment into a realโworld solution that delivers measurable, sustainable results has been incredibly meaningful.โ โSurattana Kakay The HA project has produced new research publications and earned recognition, including a third-place finish by Shaghaghiโs graduate students at this yearโs IEEE Rising Stars Project Showcase. During the annual event, students and young professionals present their technical innovations to industry leaders and peers. The HiveSpy project is a lowโcost, frameโlevel IoT monitoring system that helps beekeepers automate laborโintensive tasks and prevent hive swarming by tracking production yield in real time. By collecting frameโweight data and generating optimized harvest schedules, the system reduces manual workload while improving the hiveโs health and boosting honey output. Shaghaghi says his mentorship has been shaped by the realities of student turnover, a challenge he embraces with optimism and adaptability. โThe transient nature of student teams is a challenge but one you must embrace, bearโhug style,โ he says. โBy energizing your student community and welcoming new contributors, youโll be amazed by the brilliant solutions they bring.โ His philosophy has allowed him to cultivate a thriving pipeline of student innovators, he says, and he has strengthened his own professional practice as well. โIโve been mentoring EPICS in IEEE students since 2019,โ he says. โIt has taught me resilience and how to operate on a tight budget while still delivering realโworld results.โ Beyond the technical achievements, Shaghaghiโs work reflects a commitment to humanitarian technology and service learning. As the founder and director of the EPIC (Ethical, Pragmatic, and Intelligent Computer) lab, he has built a diverse, interdisciplinary community dedicated to innovation for the benefit of humanity. For him, he says, the EPICS in IEEE award carries profound meaning: โReceiving this award validates my deepest conviction in humanitarian technology research and strengthens my commitment to serviceโlearning education.โ His students echo those sentiments. One team member said โProfessor Shaghaghi is an engine of progress who keeps forging ahead.โ Through his leadership, Shaghaghi has created an enduring model of mentorship, innovation, and community partnership that is helping to shape the next generation of socially responsible engineers. Elizabeth Vidal-Duarte is celebrated for her impactful mentorship and leadership in expanding EPICS in IEEE engagement across Peru and IEEE Region 9 (Latin America and Caribbean). Vidal-Duarte, a research professor at San Agustin National University Arequipa, in Peru, is a faculty advisor and technical mentor for two EPICS in IEEE projects. She encouraged students to apply to the EPICS program, helped them identify community needs, and supported them in crafting proposals grounded in serviceโlearning principles. Under her leadership, the students developed a functional soft robotic glove used at Clรญnica San Juan de Dios to help patients improve their fine-motor skills. The clinicโs therapists use the device to measure the range of motion of joints at the beginning and end of each patientโs therapy session to improve their assessments. Compared with traditional manual measurements using a goniometer, the glove significantly reduces evaluation time and enables digitally recorded data, improving clinical efficiency and decision-making. The second project is an emotionโrecognition system for people with visual impairment. The AIโpowered wearable helps recognize a personโs emotions through realโtime facialโexpression detection and haptic feedback. The project has resulted in the โEmotion-Aware Assistive System With Wearable Haptic Feedback for Visual Impairmentโ research paper, which is to be presented at the IEEE International Symposium on Computer-Based Medical Systems, to be held from 3 to 5 June in Limassol, Cyprus. Vidal-Duarteโs mentorship extends beyond the classroom. She visits rehabilitation centers and clinics to find people with visual impairments to ensure that the technologies she is helping to develop meet their needs. โEPICS in IEEE has moved me beyond teaching concepts to truly living engineering as a tool for human impact,โ Vidal-Duarte says. โWatching students grow as they design solutions that improve lives has been both inspiring and deeply humbling.โ Throughout the development of both projects, Vidal-Duarte provided sustained technical and organizational guidance, helping students define requirements, structure work plans, and overcome challenges in prototyping, testing, and validation. Reflecting on the broader impact of EPICS, she says the program has given her โmore than methodologies and toolsโit has given me perspective, purpose, and a global community that constantly challenges me to grow as a mentor and as a human being.โ Her mentorship fostered not only technical excellence but also empathy, ethical awareness, and professional maturity among her students, she says. She guided them in preparing articles for submission to IEEE conferences, interdisciplinary collaboration, and hands-on fieldwork that bridged theory and realโworld constraints. โHer constant support, her belief in each studentโs potential, and her commitment to developing leaders who make a difference define [her] as a faculty advisor,โ says Valentina Chabilla, an EPICS in IEEE student team member. The EPICS recognition reflects her passion for teaching, her dedication to the community, and her impact on projects and students. Her commitment to accessible, sustainable innovation strengthened partnerships between the university and community groups, benefiting underserved populations. โReceiving this award is both an honor and a responsibility,โ she says. โIt reminds me of the real impact engineering can have on peopleโs lives and strengthens my commitment to guiding students in creating meaningful change.โ Her leadership continues to inspire students to view engineering not just as a discipline but also as a powerful force for inclusion, dignity, and social impact. Advancing the mission The Excellent Contributor Award recipients exemplify the best of EPICS in IEEE. Through their leadership, they have strengthened the bridge between engineering education and community service, inspiring students to use their skills to create sustainable, realโworld impacts. As EPICS continues to expand its global reach, the contributions of Kakay, Shaghaghi, and Vidal-Duarte serve as powerful reminders of what is possible when educators, volunteers, and students work together to improve the lives of others through engineering.
If you've uploaded a song to YouTube, Google almost certainly considers your video fair game for training its Lyria music AI, it just won't admit it right now. A group of independent musicians is suing Google, claiming that it illegally used songs they uploaded to YouTube to train its Lyria 3 model. Google has filed [โฆ]
While Silicon Valley continues pushing aggressively into large language models and consumer-facing AI products, many European companies are focused on applying AI to complex systems already embedded into everyday life.
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A man raises his phone as police move into a crowd. The video is shaky, loud, immediate. Within minutes, it is online. Within hours, it is everywhere. This is how accountability works now. Something happens, someone records it, and that footage can show what really happened, sometimes contradicting official accounts. It can empower citizens and create consequences for officials. But the footageโs life cycle does not end there. In recent months, civil liberties groups have warned that adding facial recognition to consumer smart glasses could turn everyday recording into something more troubling: real-time facial identification. It reflects a broader shift already underway, where images and videos captured for one purpose can later be searched, matched, and used for another. An ouroboros is an ancient Egyptian symbol, a snake or dragon eating its own tail. As I began to see patterns in my broader research on surveillance corporatism and governance lag, I began using the term โsurveillance ouroborosโ to describe this recursive pattern of observations intended to hold power accountable becoming new input for the same surveillance infrastructure. Facial recognition changes accountability During the George Floyd protests in 2020, people filmed police in real time. Phones were pointed at officers, not at each other. The goal was simple: to show what the state was doing. That footage spread quickly and became part of a much larger pool of public data. At the same time, reporting from outlets including The New York Times and BuzzFeed News showed that law enforcement agencies were using facial recognition tools, including systems built by Clearview AI. Those systems were built from billions of images scraped from across the internet, including publicly available photos and videos. The basic approach is now routine: People record the state, or anything elseโas in the January 6 attack on the U.S. Capitolโand the state compiles that footage and data into a searchable environment, which may later be used to identify some of the same people who made the footage. Facial-recognition systems used by law enforcement are increasingly outpacing the legal safeguards. A 2024 Government Accountability Office review found that federal law enforcement agencies continued to expand their use of facial-recognition systems for criminal investigations despite ongoing concerns around training, privacy protections, civil-liberties safeguards, and oversight. Earlier GAO findings showed that agencies had conducted roughly 60,000 facial-recognition searches before formal training requirements were put in place for personnel using the systems. The American Civil Liberties Union and other groups have warned that these tools could be used to identify people from images shared online, including protest-related footage. Concerns about facial recognition led some U.S. states and cities, including San Francisco and Boston, to restrict or ban government use of the technology, while federal agencies have continued to face scrutiny over how such systems are tested, deployed, and audited. A 2024 analysis published in Internet Policy Review warned that facial-recognition systems used by law enforcement are increasingly outpacing the legal safeguards meant to govern them, creating growing tensions around data protection, oversight, and proportional use. The spy network that built itself Surveillance used to require infrastructure. Cameras had to be installed and data had to be collected deliberately. That is no longer the case. People carry cameras everywhere. They record constantly and upload in real time. Events are documented from multiple angles without planning or coordination. The cumulative result is a continuous stream of usable data: faces, locations, timestamps, and interactions. The Internet of Things also waits all around us, gathering information and releasing it when people least expect it, as Andrew Guthrie Ferguson describes in a recent excerpt of his book Your Data Will Be Used Against You. RELATED: โSensorveillanceโ Turns Ordinary Life Into Evidence Similar dynamics are emerging globally. A recent analysis in the International Journal of Law and Information Technology examined how facial-recognition systems in China and Japan are expanding faster than the legal frameworks governing them. Reporting by The Guardian described the limited legal protections around the rapid deployment of AI-assisted surveillance infrastructure across parts of Africa. There used to be a clear distinction between surveillance and accountability. Surveillance meant the powerful watching the people; authorities tended not to share their imagery except under duress or a court order and usually after a long delay. Accountability meant the people watching the powerful, and often publishing imagery immediately to head off or counteract official mischief. That distinction no longer holds. The same footage can serve both roles. A recording meant to expose misconduct can later be used to identify someone else entirely. Surveillance ouroboros is not a future risk. It is already here. This dynamic persists because people still need to record. In many places, it is one of the only tools available when formal accountability breaks down. When oversight institutions weaken or fail, public documentation becomes a substitute. In that environment, people turn to visibility. But that visibility comes with a cost. The more people that document, the more data that exists. The more data that exists, the easier it is to search, match, and store. Every video feeds the ouroboros. People are not feeding the system because they trust it. They are feeding it because the alternative is silence. Most of the people in these videos are not the focus. They are in the background, passing by or standing nearby. But that distinction does not matter once the footage enters a system. Todayโs facial recognition can identify even a face that passed through the corner of a frame. Someone who did nothing can still become part of a dataset without ever knowing it. As recognition systems improve, older footage becomes more useful, and invasive. No single decision created this outcome. It emerged gradually through more cameras, better recognition, larger datasets, and easier integration. Each step made sense on its own. Together, they changed what recording means. Public recording is still necessary. Without it, many forms of abuse would remain hidden. But recording is no longer just exposure. It is also contribution. If you published imagery or video last year, you may already have contributed to a system you have never seen, but the ouroboros has. Surveillance ouroboros is not a future risk. It is already here. Every time someone presses publish, they are doing two things at once. They are exposing power, and they are helping build the system that the powerful will later use to track the less powerful.
Kylan Gibbs, CEO of Inworld, tackles AI model costs threatening startups. Inworld slashes prices to help consumer AI applications' profitability.
The race to dominate artificial intelligence is no longer just about algorithms, it is about energy. Letโs be frank โ compute is power, and power is now the decisive constraint. In that equation, Norway, Finland, and the Nordics writ large are quietly positioning themselves as one of the most strategically important countries in the global [โฆ]
Country music star Brad Paisley is calling on citizens to block the proposed construction of an AI data center that is planned to be built 50 yards from the Nashville Zoo, calling it "an absolute nightmare scenario," adding, "It would be an enormous monstrosity." The post โNightmare Scenarioโ: Country Star Brad Paisley Calls on Fans to Help Block AI Data Center Near Nashville Zoo appeared first on Breitbart.
The RAMageddon crisis has got Microsoft rethinking its Xbox console hardware business. Xbox CEO Asha Sharma and Xbox strategy chief Matthew Ball have both revealed this week that Microsoft is reevaluating plans for its next-generation Project Helix console and exploring "radically different" console business models in the meantime. "We are working very hard to rethink [โฆ]
In her new book โBharat Bluff: Inside the Cons of Indiaโs Internet Revolution,โ writer Soumya Gupta explores how fraudsters are exploiting the trust people place in big tech platforms like Google, Facebook and WhatsApp.
Computing power has become the lifeblood โ and a key limiting factor โ of the race to develop AI, as the push to integrate the technology into daily life clashes with the finite supply of one of its most crucial inputs. Often referred to simply as โcompute,โ the processing power that forms the foundation of...
Louis-Charles Gรฉnรฉreux, a McKinsey consultant, built an AI-assisted website to manage his consulting project and effectively replace PowerPoint.
Companies are pouring billions into AI, but faster workers and higher AI use haven't consistently translated into profit or company-wide productivity.