Latest news with #LanguageModel
NHK
5 days ago
- General
- NHK
Young people breathe new life into Shanghai dialect
Fewer people are speaking Shanghai's dialect. Young language learners and a university's AI model are helping to preserve and carry on the region's unique tongue.
Business Wire
6 days ago
- Business
- Business Wire
AEO and SEO: Keeping AI in Mind for Your Press Release Visibility
The emergence of AI-driven search, now known as Answer Engine Optimization or AEO, does not mean everything you know about Search Engine Optimization (SEO) is no longer important. If your brand is already doing a solid job with PR and SEO, you are well-positioned for this new era of AEO. Learn what to keep in mind for the visibility of your press releases within the following topics: At first glance, AEO might sound like just another acronym to worry about, but it is closely tied to the familiar world of SEO. SEO is about making your content rank well on search engine results pages, while AEO is about making your content directly usable as answers by AI-driven tools like voice assistants or chatbot-style search. Traditional SEO focuses on getting users to click through to your site. AEO focuses on providing concise, authoritative answers that AI can present without a click. In practice, both require high-quality, relevant content. SEO emphasizes keywords and links. AEO emphasizes context and clarity, offering direct answers and structured information. Think of AEO as an extension of your current strategy. The fundamentals remain the same: you still need relevant content, credibility, and a good user experience. What changes is how that content might be retrieved and presented by AI. There's no need to panic. Brands that have been consistently managing press releases, content marketing, and SEO are not starting from scratch when it comes to AEO. You are actually ahead of the game. The key is to shift your thinking: consider not only how a search engine indexes your press release but also how a Large Language Model (LLM) might read it and use it to answer questions. By expanding your perspective to include answer engines, you can refine your PR strategy to cover both bases without reinventing the wheel. PR + SEO as a Foundation for AI Search Success If you've been integrating public relations with your SEO strategy, you already have a strong foundation for AI-driven search. Effective PR, such as distributing news on reputable sites with a newswire partner, naturally complements SEO by building online presence and credibility. In the AI age, this matters more than ever because AI models learn from what they read across the web. When your brand is frequently mentioned in trustworthy news articles, press releases, and industry publications, AI answer engines are more likely to know about you and trust what they know. Brands that consistently publish quality press releases and earn media coverage are essentially feeding AI with authoritative information. Your announcements, when widely distributed, become part of the vast training data that informs AI answers. As a result, companies already skilled at PR and SEO find that much of their work (e.g., creating clear content, building backlinks, establishing authority) also fuels AEO. Think of SEO as answering user needs with an extra click. AEO cuts straight to the answer. If you've been creating press releases that answer the who, what, where, and why of your news, you are on the right track. Now it is about fine-tuning those press releases so an LLM, not just a human searcher, recognizes their value. Why PR is Vital in the AI Era Traditional SEO has always emphasized authority and reputation, which are important factors that determine whether search engines trust your site. Now this concept is amplified. LLMs absorb vast amounts of content and form connections. Your brand's coverage in trusted publications can significantly influence whether and how you appear in AI-generated answers. Press releases play a big role in this: Entity Recognition: When AI systems see your brand mentioned across reputable news sites, they treat your company as an established entity with credibility in your field. Contextual Authority: Press releases often highlight your experts, achievements, and domain focus. AI learns your name and the specific topics associated with you. Zero-Click Visibility: AI answers often come without blue links. Your visibility relies on AI's confidence in your brand, built through consistent media coverage. In short, in the AI-driven search landscape, visibility starts with reputation. Your PR efforts create a web of trust and information that both search engines and AI models draw from. The more robust and positive your brand's presence in online publications, the more likely AI will include your insights or mention your name when relevant. Crafting Press Releases for AEO and SEO Writing and structuring your announcements with AEO and SEO in mind helps ensure they serve both human readers and AI systems. Many best practices overlap. Below are actionable steps: Adopt a Clear, Neutral Tone Focus on facts, not marketing hype. Answer the basic questions: who, what, when, where, why, and how. Structure for Scannability and Snippet Potential Use a strong headline and front-load key information in the first paragraph. Include a brief FAQ or bulleted list of key points to make your press release snippet friendly. Use Keywords and Links Naturally Incorporate relevant phrases your audience might use in a conversational query. Provide links to your website or a landing page for more details; trust that interesting content will attract follow-on links. Include Multimedia and Meta Information Add images, videos, or infographics with descriptive file names and alt text. Ensure metadata like news keywords and schema markup are in place so search engines and AI systems can index and interpret your news correctly. By following these steps, you'll create press releases that are easy for reporters and readers to digest and are optimized for the AI systems that power voice assistants, chatbots, and AI-driven search platforms. How Business Wire Press Releases Excel at Both AEO & SEO Business Wire's platform is built around making your news immediately discoverable by both traditional search engines and emerging AI–powered answer engines. Here's how Business Wire features align with the core requirements of AEO and SEO alike: Broad, High-Authority Syndication Global Distribution Network: Business Wire can send your press release to thousands of newsrooms, websites, industry portals, and social channels. Exposure on reputable domains signals authority to search algorithms and AI models alike. Targeted Geo and Industry Distribution: You can select specific regions or verticals. That ensures your brand shows up in contexts AI is learning, such as 'regional energy news' or 'healthcare innovation,' thus reinforcing entity recognition in those niches. Built-In Metadata and Markup Automatic Tagging: Each release is wrapped in structured data (NewsArticle schema). Search engines use that to understand your content type and context at a glance, improving indexing speed and snippet potential. Custom Keywords and News Codes: Relevant "news keywords" and industry-specific codes are added to your press release by Business Wire. Those metadata fields help both search spiders and AI systems connect your announcement to relevant topics and queries. Canonical and Duplicate Content Controls Canonical Tagging on Your Site: Business Wire embeds a canonical link (HTML citation) pointing back to your own site URL. Search engines recognize which version is primary, avoiding duplicate content penalties. Syndicated Links: Links in distributed press releases are automatically marked with a special tag that tells search engines that the link is for reference. This keeps your press release in good standing with search engines and helps build visibility, traffic, and long-term credibility for your news. Multimedia Integration for Rich Context Hosted Images, Videos, Infographics: You can add high-resolution visual assets with keyword-rich captions. Business Wire generates titles and alt text for the imagery published with your press release. Visuals increase time on page, feed image search results, and give AI additional context via captions. Embedded Links to Downloadable Assets: When you include charts or white papers, AI models can infer deeper relevance, just as search crawlers pick up on resource links for SEO value. Optimized Structure for Snippets and Voice Answers Headline and Lead Paragraph Focus: Business Wire templates emphasize a clear headline and an opening paragraph that answers the who, what, when, where, and why. This format is ideal for featured snippets and voice-assistant responses. Built-In Snippets: Use Business Wire's free features to support AI's need for short, self-contained answers. A short overview of your news, the Release Summary is prominently placed next to your press release on Business Wire's site. Callout Text can be used to highlight key quotes, data points, or insights. Real-Time Analytics and Tracking Pickup and Backlink Reports: You have access to NewsTrak Reports showing which outlets picked up your release, sources of backlinks, and your geographic reach. Monitoring these metrics helps refine future keyword and topic choices for both SEO and AEO. Engagement Metrics: Page views, time on page, social shares, and click-through data from your company's website give insight into what resonates with readers and AI–driven platforms, enabling continuous optimization. Bridging SEO and AEO As search technology continues to evolve, the core challenge remains getting your brand's message in front of the right audience. Whether that is via a clickable link or a direct AI-generated answer, the solution is to blend traditional SEO and emerging AEO best practices. High-quality, authoritative press releases optimized for both humans and machines will: Build and reinforce your brand's reputation. Enhance your presence in traditional search rankings. Increase the likelihood of your brand being cited in AI answers. Leveraging a trusted distribution partner like Business Wire amplifies these benefits. Business Wire's extensive, global distribution network and technical expertise ensure your announcement is formatted, tagged, and syndicated in a way that search engines and AI systems recognize as authoritative. Over time, each press release you publish becomes a building block of your digital footprint. Consistent, optimized content positions you for success across both SEO and AEO channels. When your audience asks a question, your brand's information will be there to deliver the answer.
Yahoo
10-05-2025
- Yahoo
Teachers Using AI to Grade Their Students' Work Sends a Clear Message: They Don't Matter, and Will Soon Be Obsolete
Talk to a teacher lately, and you'll probably get an earful about AI's effects on student attention spans, reading comprehension, and cheating. As AI becomes ubiquitous in everyday life — thanks to tech companies forcing it down our throats — it's probably no shocker that students are using software like ChatGPT at a nearly unprecedented scale. One study by the Digital Education Council found that nearly 86 percent of university students use some type of AI in their work. That's causing some fed-up teachers to fight fire with fire, using AI chatbots to score their students' work. As one teacher mused on Reddit: "You are welcome to use AI. Just let me know. If you do, the AI will also grade you. You don't write it, I don't read it." Others are embracing AI with a smile, using it to "tailor math problems to each student," in one example listed by Vice. Some go so far as requiring students to use AI. One professor in Ithaca, NY, shares both ChatGPT's comments on student essays as well as her own, and asks her students to run their essays through AI on their own. While AI might save educators some time and precious brainpower — which arguably make up the bulk of the gig — the tech isn't even close to cut out for the job, according to researchers at the University of Georgia. While we should probably all know it's a bad idea to grade papers with AI, a new study by the School of Computing at UG gathered data on just how bad it is. The research tasked the Large Language Model (LLM) Mixtral with grading written responses to middle school homework. Rather than feeding the LLM a human-created rubric, as is usually done in these studies, the UG team tasked Mixtral with creating its own grading system. The results were abysmal. Compared to a human grader, the LLM accurately graded student work just 33.5 percent of the time. Even when supplied with a human rubric, the model had an accuracy rate of just over 50 percent. Though the LLM "graded" quickly, its scores were frequently based on flawed logic inherent to LLMs. "While LLMs can adapt quickly to scoring tasks, they often resort to shortcuts, bypassing deeper logical reasoning expected in human grading," wrote the researchers. "Students could mention a temperature increase, and the large language model interprets that all students understand the particles are moving faster when temperatures rise," said Xiaoming Zhai, one of the UG researchers. "But based upon the student writing, as a human, we're not able to infer whether the students know whether the particles will move faster or not." Though the UG researchers wrote that "incorporating high-quality analytical rubrics designed to reflect human grading logic can mitigate [the] gap and enhance LLMs' scoring accuracy," a boost from 33.5 to 50 percent accuracy is laughable. Remember, this is the technology that's supposed to bring about a "new epoch" — a technology we've poured more seed money into than any in human history. If there were a 50 percent chance your car would fail catastrophically on the highway, none of us would be driving. So why is it okay for teachers to take the same gamble with students? It's just further confirmation that AI is no substitute for a living, breathing teacher, and that isn't likely to change anytime soon. In fact, there's mounting evidence that AI's comprehension abilities are getting worse as time goes on and original data becomes scarce. Recent reporting by the New York Times found that the latest generation of AI models hallucinate as much as 79 percent of the time — way up from past numbers. When teachers choose to embrace AI, this is the technology they're shoving off onto their kids: notoriously inaccurate, overly eager to please, and prone to spewing outright lies. That's before we even get into the cognitive decline that comes with regular AI use. If this is the answer to the AI cheating crisis, then maybe it'd make more sense to cut out the middle man: close the schools and let the kids go one-on-one with their artificial buddies. More on AI: People With This Level of Education Use AI the Most at Work
Associated Press
16-04-2025
- Business
- Associated Press
CMiC is Positioned to Revolutionize Construction Software with the Launch of NEXUS, the First AI-Powered Construction ERP
TORONTO, ONTARIO / ACCESS Newswire / April 16, 2025 / CMiC, the leading provider of next-generation construction ERP, is setting the stage to transform construction software with the launch of NEXUS, the first AI-powered construction ERP. These cutting-edge capabilities are designed to empower construction teams to make sound data-driven decisions, boost productivity, and enhance employee retention strategies. At its core, this groundbreaking technology represents the first of its kind in the construction software industry, setting a new standard for innovation and operational excellence. As expressed by Gord Rawlins, President & CEO - CMiC, 'Our AI-powered features offer users advanced data visualization capabilities, business intelligence tools, and the ability to leverage natural language to optimize key business functions. This development underscores CMiC's dedication to continuous innovation and the integration of customer feedback into our product evolution, positioning us as a technology leader at the forefront of AI-driven construction ERP solutions.' CMiC's Long-Term AI Strategy and Initial Rollout: Driving Transformational Change, Enhancing Core Functionality, and Developing Innovative New Features Historically, CMiC has been a pioneer and early adopter of emerging technologies, consistently aligning with the broader industry's shift toward digital transformation. In 2022, they solidified their AI strategy by incorporating transformational change management, enhancing existing functionality, and creating a roadmap for developing new features. According to Steve Cangiano, Chief Product Officer - CMiC, 'Our long-term AI strategy is intentionally designed to leverage the power of AI within our core features and functionality. This approach will include phased rollouts and ongoing improvements to ensure continuous innovation.' To date, CMiC has introduced a range of feature enhancements, including AI-powered API integrations, AI-generated workflows, AI-enhanced process automation, and AI-driven data entry screens and apps. Additionally, their system leverages AI for data summarization, anomaly detection alerts, and predictive analytics. Building on this, CMiC's product leaders have harnessed the power of Generative AI to incorporate user-defined flysheets (data entry fields), driving the development of new features that are currently in production. The next feature to be released is an AI drawing extraction feature which uses a Large Language Model (LLM) to extract sheet information. Leading CMiC AI-Enabled Features: 'Ask Al' and Daily Sentiment Analysis CMiC's recent AI launch was led by the introduction of 'Ask AI' and Daily Sentiment Analysis. Below is an overview of each of these groundbreaking features. 'Ask AI,' powered by OpenAI's Assistant V2 API with GPT-4, revolutionizes our analytics platform by making data interaction more intuitive and accessible. This AI feature simplifies complex data analytics into conversational exchanges, allowing users to query data, gain insights, and make informed decisions quickly - accordingly, users can now ask questions in natural language. Additionally, the conversational AI understands context and nuance, ensuring responses are both accurate and relevant to specific queries. This personalized interaction encourages deeper data exploration and fosters a more analytical mindset among users. Daily Sentiment Analysis is a groundbreaking dashboard that redefines how users monitor project health. This feature allows them to tap directly into the pulse of their projects by leveraging sentiment analysis drawn from daily journals. Each project's sentiment is carefully scored on a scale from 1 (negative) to 10 (positive), providing an unmatched, real-time view of each team's attitudes and the potential challenges they may encounter throughout a project. As stated by Jeff Weiss, Chief Revenue Officer - CMiC, 'Ask Al not only democratizes data access across the company, but it also enables team members with varied technical skills to harness critical business insights. As a result, it significantly reduces the time spent on analyzing vast datasets.' He adds: 'Our Daily Sentiment Analysis feature is not only designed to inform, but to revolutionize the project management strategy of construction teams.' Looking Ahead: Launching a Multi-Year Roadmap for AI Features and Product Enhancements CMiC's AI-enabled ERP launch will mark the start of an expansive, multi-year product rollout and enhancement journey. The official debut will take place at CONNECT 2025, their annual user conference, scheduled for November. At the forefront of product innovation, Cangiano captures it best: 'As technology leaders, my product teams are fully committed to keeping our features and functionality at the cutting edge of construction technology, reinforcing CMiC's position in the construction ERP space.' For more information about CMiC's AI-powered ERP, please click here. About CMiC: As an industry pioneer, CMiC delivers complete and unified Financials and Project Management software solutions for construction and capital projects firms. CMiC's powerful software transforms how firms optimize productivity, minimize risk and drive growth by planning and managing all financials, projects, resources, and content assets - from a Single Database Platform™. With customers throughout North America and overseas, CMiC serves one-quarter of ENR's Top 400 Contractors and hundreds of small and mid-sized construction firms, from general and specialty contractors to heavy/highway and project owners. Over $100 billion in construction revenue is handled by CMiC annually. Media Inquiries: Shirin Ali Head of Marketing - CMiC Email: [email protected] SOURCE: CMiC press release
Forbes
24-03-2025
- Business
- Forbes
Key Insights From LinkedIn's 15 Workplace Skills List
I look forward to LinkedIn's emails. Well, maybe not all of them, as their numbers are continuously on the rise – with jobs for which I am deemed a good fit, despite the fact that I haven't been a job seeker in 28 years – but there are some real gems in there. Such was the case last week when a LinkedIn News email landed in my – and surely, many millions of other – inboxes. It carried this headline: '15 skills companies want right now' and then went on to lead with this statement: '70% of the skills you use today will change by 2030. Here are the emerging ones.' A couple of clicks later – my, how our reading habits have changed! – and the list began, including thoughtful commentary on each, It's bulletin board-worthy stuff, for sure. Here's LinkedIn's list, minus their commentary. (My commentary, you can be sure, will follow.) (1) AI Literacy, (2) Conflict Mitigation, (3) Adaptability, (4) Process Optimization, (5) Innovative Thinking, (6) Public Speaking, (7) Solution-Based Selling, (8) Customer Engagement & Support, (9) Stakeholder Management, (10) Large Language Model (LLM) Development & Application, (11) Budget & Resource Management, (12) Go-To-Market Strategy, (13) Regulatory Compliance, (14) Growth Strategy, (15) Risk Assessment. (A) It's forward-looking, although some of this is not new and never will be. (B) It's long, wide, and deep, although in need of an addition or two. (C) It's most likely based on good data, given LinkedIn's reach into data from their 1.15 billion worldwide users. Good surveys happen that way. (D) Their comments transcend data analysis and cross over into interpretation. In other words: What does this mean? That's the difference between left-brain logic and right-brain creativity. Albert Einstein used to say, 'Everything should be made as simple as possible, but not simpler.' The above list, as it appears, is oversimplified, in my view. Fourteen of the fifteen 'skills' as listed are actually more complex than that. They are skill sets, experiential career levels, sensibilities, core strengths, or characteristics. They are complex, robust, and interdependent. They develop in tandem, not alone, and they become multi-, not unidimensional. Public Speaking may seem simple enough, but is really made up of verbal communication, nonverbal communication, effective writing, appropriate use of informative or persuasive or special occasion techniques, and PowerPoint (if you take it that far). That said, I remind you that I see only one that is, indeed, a stand-alone skill. If you think you know which, I'd be interested in your thoughts. For decades going back as far as I can research (at least to the 1950s), the two skills executives and recruiters stated they valued more than all others were communication and ability to work well within a team. In other words, they were saying, they could get all the hard-skill people they needed; what kept them up at night was the inability of most people to talk to and work with each other. The graduate-level communication and leadership course I taught for 15 years at Fairleigh Dickinson University was predicated on that reality. That's simple. Simplify when you can, don't when you shouldn't, and know the difference.
