Samsung's fridges now recognize family members by voice
Samsung's latest smart fridges now support multi-voice recognition powered by the company's Bixby assistant, which can be used to bring up personalized information on the built-in smart displays based upon which member of a household is speaking.
Voice identification in smart home tech is nothing new, but with no successful Samsung-branded smart speaker line of its own, connected appliances are Samsung's only real route to apply that kind of personalization.
The main perk is that the fridge will be able to display your calendar or personal photo gallery using only voice commands. You'll also be able to ask the fridge to trigger an alarm on your phone, useful if you can't find it. The update may be more helpful for those who are hard of vision, as it will automatically change the fridge screen's display mode to match settings like color inversion or grayscale that have been applied on your phone.
Samsung is also adding a new way to activate Bixby on its fridges. In addition to tapping the Bixby icon or using voice commands, you'll now be able to double tap on the fridge's display while it's off to bring the beleaguered voice assistant —no longer the default even on Samsung's own phones — to life.
The Voice ID feature and double-tap gesture are arriving now in an update for Samsung's Bespoke AI fridges with Family Hub (the company's term for its larger smart home screens), starting with the 2025 models, and will later roll out to appliances with the smaller AI Home displays.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Gizmodo
33 minutes ago
- Gizmodo
Wikipedia Tries to Calm Fury Over New AI-Generated Summaries Proposal
The denizens of the open web don't want anything to do with AI. The Wikimedia Foundation, the organization behind Wikipedia, made the unfortunate decision to announce the trial of a new AI-fueled article generator this week. The backlash from the site's editors was so swift and so vengeful that the organization quickly walked back its idea, announcing a temporary 'pause' of the new feature. A spokesperson on behalf of the Foundation—which is largely separate from the decentralized community of editors that populate the site with articles—explained last week that, in an effort to make wikis 'more accessible to readers globally through different projects around content discovery,' the organization planned to trial 'machine-generated, but editor moderated, simple summaries for readers.' Like many other organizations that have been plagued by new automated features, Wikipedia's rank and file were quick to anger over the experimental new tool. The responses, which are posted to the open web, are truly something to behold. 'What the hell? No, absolutely not,' said one editor. 'Not in any form or shape. Not on any device. Not on any version. I don't even know where to begin with everything that is wrong with this mindless PR hype stunt.' 'This will destroy whatever reputation for accuracy we currently have,' another editor said. 'People aren't going to read past the AI fluff to see what we really meant.' Yet another editor was even more vehement: 'Keep AI out of Wikipedia. That is all. WMF staffers looking to pad their resumes with AI-related projects need to be looking for new employers.' 'A truly ghastly idea,' said another. 'Since all WMF proposals steamroller on despite what the actual community says, I hope I will at least see the survey and that—unlike some WMF surveys—it includes one or more options to answer 'NO'.' 'Are y'all (by that, I mean WMF) trying to kill Wikipedia? Because this is a good step in that way,' another editor said. 'We're trying to keep AI out of Wikipedia, not have the powers that be force it on us and tell us we like it.' The forum is littered with countless other negative responses from editors who expressed a categorical rejection of the tool. Not long afterward, the organization paused the feature, 404 Media reported. 'The Wikimedia Foundation has been exploring ways to make Wikipedia and other Wikimedia projects more accessible to readers globally,' a Wikimedia Foundation spokesperson told 404 Media. 'This two-week, opt-in experiment was focused on making complex Wikipedia articles more accessible to people with different reading levels. For the purposes of this experiment, the summaries were generated by an open-weight Aya model by Cohere. It was meant to gauge interest in a feature like this, and to help us think about the right kind of community moderation systems to ensure humans remain central to deciding what information is shown on Wikipedia.'
Yahoo
an hour ago
- Yahoo
AI literacy: What it is, what it isn't, who needs it and why it's hard to define
It is 'the policy of the United States to promote AI literacy and proficiency among Americans,' reads an executive order President Donald Trump issued on April 23, 2025. The executive order, titled Advancing Artificial Intelligence Education for American Youth, signals that advancing AI literacy is now an official national priority. This raises a series of important questions: What exactly is AI literacy, who needs it, and how do you go about building it thoughtfully and responsibly? The implications of AI literacy, or lack thereof, are far-reaching. They extend beyond national ambitions to remain 'a global leader in this technological revolution' or even prepare an 'AI-skilled workforce,' as the executive order states. Without basic literacy, citizens and consumers are not well equipped to understand the algorithmic platforms and decisions that affect so many domains of their lives: government services, privacy, lending, health care, news recommendations and more. And the lack of AI literacy risks ceding important aspects of society's future to a handful of multinational companies. How, then, can institutions help people understand and use – or resist – AI as individuals, workers, parents, innovators, job seekers, students, employers and citizens? We are a policy scientist and two educational researchers who study AI literacy, and we explore these issues in our research. At its foundation, AI literacy includes a mix of knowledge, skills and attitudes that are technical, social and ethical in nature. According to one prominent definition, AI literacy refers to 'a set of competencies that enables individuals to critically evaluate AI technologies; communicate and collaborate effectively with AI; and use AI as a tool online, at home, and in the workplace.' AI literacy is not simply programming or the mechanics of neural networks, and it is certainly not just prompt engineering – that is, the act of carefully writing prompts for chatbots. Vibe coding, or using AI to write software code, might be fun and important, but restricting the definition of literacy to the newest trend or the latest need of employers won't cover the bases in the long term. And while a single master definition may not be needed, or even desirable, too much variation makes it tricky to decide on organizational, educational or policy strategies. Who needs AI literacy? Everyone, including the employees and students using it, and the citizens grappling with its growing impacts. Every sector and sphere of society is now involved with AI, even if this isn't always easy for people to see. Exactly how much literacy everyone needs and how to get there is a much tougher question. Are a few quick HR training sessions enough, or do we need to embed AI across K-12 curricula and deliver university micro credentials and hands-on workshops? There is much that researchers don't know, which leads to the need to measure AI literacy and the effectiveness of different training approaches. While there is a growing and bipartisan consensus that AI literacy matters, there's much less consensus on how to actually understand people's AI literacy levels. Researchers have focused on different aspects, such as technical or ethical skills, or on different populations – for example, business managers and students – or even on subdomains like generative AI. A recent review study identified more than a dozen questionnaires designed to measure AI literacy, the vast majority of which rely on self-reported responses to questions and statements such as 'I feel confident about using AI.' There's also a lack of testing to see whether these questionnaires work well for people from different cultural backgrounds. Moreover, the rise of generative AI has exposed gaps and challenges: Is it possible to create a stable way to measure AI literacy when AI is itself so dynamic? In our research collaboration, we've tried to help address some of these problems. In particular, we've focused on creating objective knowledge assessments, such as multiple-choice surveys tested with thorough statistical analyses to ensure that they accurately measure AI literacy. We've so far tested a multiple-choice survey in the U.S., U.K. and Germany and found that it works consistently and fairly across these three countries. There's a lot more work to do to create reliable and feasible testing approaches. But going forward, just asking people to self-report their AI literacy probably isn't enough to understand where different groups of people are and what supports they need. Governments, universities and industry are trying to advance AI literacy. Finland launched the Elements of AI series in 2018 with the hope of educating its general public on AI. Estonia's AI Leap initiative partners with Anthropic and OpenAI to provide access to AI tools for tens of thousands of students and thousands of teachers. And China is now requiring at least eight hours of AI education annually as early as elementary school, which goes a step beyond the new U.S. executive order. On the university level, Purdue University and the University of Pennsylvania have launched new master's in AI programs, targeting future AI leaders. Despite these efforts, these initiatives face an unclear and evolving understanding of AI literacy. They also face challenges to measuring effectiveness and minimal knowledge on what teaching approaches actually work. And there are long-standing issues with respect to equity − for example, reaching schools, communities, segments of the population and businesses that are stretched or under-resourced. Based on our research, experience as educators and collaboration with policymakers and technology companies, we think a few steps might be prudent. Building AI literacy starts with recognizing it's not just about tech: People also need to grasp the social and ethical sides of the technology. To see whether we're getting there, we researchers and educators should use clear, reliable tests that track progress for different age groups and communities. Universities and companies can try out new teaching ideas first, then share what works through an independent hub. Educators, meanwhile, need proper training and resources, not just additional curricula, to bring AI into the classroom. And because opportunity isn't spread evenly, partnerships that reach under-resourced schools and neighborhoods are essential so everyone can benefit. Critically, achieving widespread AI literacy may be even harder than building digital and media literacy, so getting there will require serious investment – not cuts – to education and research. There is widespread consensus that AI literacy is important, whether to boost AI trust and adoption or to empower citizens to challenge AI or shape its future. As with AI itself, we believe it's important to approach AI literacy carefully, avoiding hype or an overly technical focus. The right approach can prepare students to become 'active and responsible participants in the workforce of the future' and empower Americans to 'thrive in an increasingly digital society,' as the AI literacy executive order calls for. The Conversation will be hosting a free webinar on practical and safe use of AI with our tech editor and an AI expert on June 24 at 2pm ET/11am PT. Sign up to get your questions answered. This article is republished from The Conversation, a nonprofit, independent news organization bringing you facts and trustworthy analysis to help you make sense of our complex world. It was written by: Daniel S. Schiff, Purdue University; Arne Bewersdorff, Technical University of Munich, and Marie Hornberger, Technical University of Munich Read more: Navigating deepfakes and synthetic media: This course helps students demystify artificial intelligence technologies The hidden risk of letting AI decide – losing the skills to choose for ourselves Verifying facts in the age of AI – librarians offer 5 strategies Funding from Google Research helped to support part of the authors' research on AI literacy. Funding from the German Federal Ministry of Education and Research under the funding code 16DHBKI051 helped to support part of the authors' research on AI literacy. Arne Bewersdorff does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.
Yahoo
an hour ago
- Yahoo
Asia-Pacific 5G Services Industry Forecast 2025-2031: Verizon Communications, Huawei Technologies, and Ericsson Dominate the Market
IoT adoption boosts demand for 5G, with China leading regional growth. Enhanced mobile broadband dominates, while enterprises take the larger market share. Dublin, June 12, 2025 (GLOBE NEWSWIRE) -- The "Asia-Pacific 5G Services Market Forecast to 2031" has been added to offering. The Asia Pacific 5G services market is witnessing unprecedented growth, valued at US$ 37.46 billion in 2023 and projected to skyrocket to US$ 1.52 trillion by 2031, with an astounding CAGR of 58.9% from 2023 to 2031. Key players in the market include China Mobile Limited, Deutsche Telekom AG, Huawei Technologies Co Ltd, Nokia Corp, Orange SA, Samsung Electronics Co Ltd, Telefonaktiebolaget LM Ericsson, Verizon Communications Inc, Vodafone Group PLC, and ZTE Corp. Increase in Adoption of IoT Devices Boosts Asia Pacific 5G Services Market As the global adoption of Internet of Things (IoT) devices accelerates across various industries, the demand for advanced connectivity solutions becomes critical. 5G networks, offering unparalleled speed and reliability, are uniquely positioned to support this demand. By enhancing communication and data exchange, 5G empowers organizations to effectively integrate IoT technology, with projections suggesting velocities ten times faster than LTE networks. This development enables rapid data transfers between IoT devices, fostering innovation and operational efficiency. The synergy between 5G technology and edge computing presents innovative opportunities for diverse industries. Notably, collaborations between tech giants like IBM and Verizon are exploring 5G and edge solutions to enhance remote-controlled robotics, real-time video analytics, and factory automation. With 5G's capability to seamlessly connect sensors in substantial structures, new avenues in occupancy management, energy efficiency, and guest experiences are unfolding, propelling the growth potential of the 5G services market. Asia Pacific 5G Services Market Overview China maintains a commanding lead in the 5G rollout, aggressively developing its infrastructure. Early 2021 data reveals that China Mobile had amassed 168.97 million 5G subscribers, a significant increase from the previous year's 6.7 million. With 718,000 5G base stations established in 2020, China accounted for nearly 70% of the global total. According to the World 5G Convention in 2022, Chinese telecom operators invested US$ 59.4 billion in 5G infrastructure. By March 2022, China boasted 355 million 5G users and deployed 1.4 million base stations. The Ministry of Industry and Information Technology (MIIT) reported that by July 2022, China had constructed approximately 1.97 million 5G base stations, bringing 5G coverage to nearly all prefecture-level cities and counties, including 96% of towns in China. Consequently, China's 5G base stations account for over 60% of global users. Asia Pacific 5G Services Market Segmentation: By type, the market segments into enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), ultra-reliable low latency (uRLLC), and fixed wireless access (FWA). The eMBB segment claimed the largest market share in 2023. The market divides by end user into enterprises and consumers, with enterprises holding a larger market share in 2023. Enterprises further segment into IT & telecom, manufacturing, healthcare, BFSI, retail & e-commerce, among others. By country, segmentation includes China, Japan, South Korea, India, Australia, and the Rest of Asia Pacific, with China leading the market share in 2023. Reasons to Buy: Streamline research efforts by identifying market growth, size, leading players, and segments. Align business strategies with key industry priorities for optimal results. Leverage critical findings and trends to develop long-term industry strategies. Explore significant growth opportunities in both developed and emerging markets. Examine in-depth market trends and the driving and restraining forces for informed decision making. Enhance strategic decisions on products, segmentation, pricing, and distribution by understanding underlying commercial interests. Key Topics Covered 1. Introduction 1.1 Report Guidance 1.2 Market Segmentation 2. Executive Summary 2.1 Key Insights 2.2 Market Attractiveness 3. Research Methodology 3.1 Secondary Research 3.2 Primary Research 4. Asia Pacific 5G Services Market Landscape 4.1 Overview 4.2 Ecosystem Analysis 5. Asia Pacific 5G Services Market - Key Market Dynamics 5.1 Market Drivers 5.2 Market Restraints 5.3 Market Opportunities 5.4 Trends 5.5 Impact of Drivers and Restraints 6. 5G Services Market - Asia Pacific Analysis 6.1 Asia Pacific 5G Services Market Revenue, 2021-2031 6.2 Asia Pacific 5G Services Market Forecast Analysis 7. Asia Pacific 5G Services Market Analysis - by Type 7.1 Enhanced Mobile Broadband (eMBB) 7.2 Massive Machine-Type Communications (mMTC) 7.3 Ultra-Reliable Low Latency (uRLLC) 7.4 Fixed Wireless Access (FWA) 8. Asia Pacific 5G Services Market Analysis - by End User 8.1 Enterprises 8.2 Consumers 9. Asia Pacific 5G Services Market - Country Analysis 9.1 Asia Pacific 5G Services Market Overview 10. Competitive Landscape 10.1 Heat Map Analysis by Key Players 10.2 Company Positioning & Concentration 11. Industry Landscape 11.1 Overview 11.2 Market Initiatives11.3 Product Developments11.4 Expansions11.5 Partnerships and Collaborations12. Company Profiles 12.1 Verizon Communications Inc.12.2 Huawei Technologies Co. Ltd.12.3 Telefonaktiebolaget LM Ericsson 12.4 Nokia Corp.12.5 Samsung Electronics Co. Ltd.12.6 ZTE Corp.12.7 Vodafone Group PLC12.8 Orange SA 12.9 Deutsche Telekom AG 12.10 China Mobile Limited For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
