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Business Wire
a day ago
- Business
- Business Wire
Hippocratic AI Selected to Collaborate in CMS Health Tech Ecosystem and Digital Transformation Initiative
PALO ALTO, Calif.--(BUSINESS WIRE)--Hippocratic AI, the global leader and pioneer in safety-focused generative AI agents for healthcare, today announced its selection to participate in the Health Tech Ecosystem, a key element in the United States' Center for Medicare and Medicaid Services (CMS) digital transformation initiative. Hippocratic AI's participation memorializes its intent to collaborate with CMS and other participating companies and healthcare organizations to make this transformative vision a reality. As part of the collaboration, pledges were made in Washington, D.C., in meetings with CMS Administrator Dr. Mehmet Oz, and other administration officials. This is being followed by a reception at the White House later today, which Hippocratic AI Co-Founder and CEO Munjal Shah is invited to attend. This comes on the heels of the recently announced AI Action Plan that affirms the urgent national priority of accelerating safe, scalable AI infrastructure. Hippocratic AI's participation is in the 'Conversational AI Assistants' pledge defined by CMS in the Health Tech Ecosystem announcement. Hippocratic AI is already a market-leading technology and services provider in this category. 'Conversational AI Assistants,' or generative AI healthcare agents as Hippocratic AI refers to them, acknowledges the criticality of the technology and services pioneered by Hippocratic AI, which are now being deployed in the United States and key global markets. To date, healthcare providers have used Hippocratic AI GenAI healthcare agents to complete more than 3.35 million patient calls, earning a high average patient satisfaction rating of 8.95 out of 10. Hippocratic AI signed this pledge set forth by CMS: 'We pledge to build conversational AI assistants that connect to CMS Aligned Networks or personal health record apps, and with patient consent, securely access relevant health information and use this information to deliver personalized, helpful support. Our tools will clearly distinguish educational content from clinical guidance, assist patients directly when appropriate, and guide them to care from a health professional when needed.' 'Hippocratic AI's vision for healthcare abundance is driven by both industry transformation and broad collaboration,' said Munjal Shah, Co-Founder and CEO of Hippocratic AI. 'We commend CMS on its effort to bring together the Health Tech Ecosystem and will actively participate in its planning and execution, as it is well aligned with our own thinking as to how to transform healthcare.' Watch the CMS video for more information here. About Hippocratic AI Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, visit
Yahoo
23-06-2025
- Business
- Yahoo
5 Mid-Cap Stocks to Buy on Solid Long-Term Earnings Growth Potential
Stocks that have seen positive earnings estimate revisions are generally attractive to investors. Moreover, a combination of these stocks along with a top Zacks Rank, should be more lucrative as this combo has the potential for strong stock price appreciation in the near future. Similarly, companies that have a strong long-term (3 to 5 years) earnings growth rate should provide a steady return over a long period. Investors should start investing in these stocks in a systematic way for lucrative wealth creation in the long term. Here, we recommend five such mid-cap stocks with a favorable Zacks Rank. These are: UiPath Inc. PATH, Lyft Inc. LYFT, Shake Shack Inc. SHAK, Wingstop Inc. WING and Dycom Industries Inc. DY. Each of our picks carries either a Zacks Rank #1 (Strong Buy) or 2 (Buy). You can see the complete list of today's Zacks #1 Rank stocks here. A combination of solid long-term earnings growth rate along with a top Zacks Rank, should be more lucrative as this combo has the potential for strong stock price appreciation in the long term. Each of these stocks currently carries a long-term earnings per share (EPS) growth rate well above the long-term earnings growth rate of the broad-market index — the S&P 500. Investment in mid-cap stocks is often recognized as a good portfolio diversification strategy. These stocks combine the attractive attributes of both small and large-cap stocks. Top-ranked, mid-cap stocks have a high potential to enhance their profitability, productivity and market share. These may also become large caps over time. If economic growth slows down due to any unforeseen internal or external disturbance, mid-cap stocks will be less susceptible to losses than their large-cap counterparts owing to their lower international exposure. On the other hand, if the economy continues to thrive, these stocks will gain more than small caps due to established management teams, a broad distribution network, brand recognition and ready access to the capital markets. The chart below shows the price performance of our five picks in the past three months. Image Source: Zacks Investment Research Zacks Rank #2 UiPath provides an end-to-end automation platform that offers a range of robotic process automation solutions primarily in the United States, Romania, the United Kingdom, the Netherlands, and internationally. PATH offers a suite of interrelated software to build, manage, run, engage, measure, and govern automation within the organization. The PATH platform's embedded AI (artificial intelligence), ML (machine language), and NLP (Natural Language Processing) capabilities improve decisioning and information processing. PATH introduced new generative AI features, including specialized LLMs (Large Language Model) such as DocPATH and CommPATH, and Context Grounding, to enhance automated AI models for specific business needs. UiPath has an expected revenue and earnings growth rate of 8.5% and 5.7%, respectively, for the current year. The Zacks Consensus Estimate for current-year earnings has improved 7.7% over the last 30 days. PATH has a long-term EPS growth rate of 18.4% compared with the S&P 500's long-term EPS growth rate of 12.6%. Zacks Rank #2 Lyft operates a peer-to-peer marketplace for on-demand ridesharing in the United States and Canada. LYFT operates multimodal transportation networks that offer access to various transportation options through the Lyft platform and mobile-based applications. LYFT's autonomous vehicle-related ambitions bode well. Lyft's Price Lock feature is performing better than expected. LYFT also benefits from an uptick in driver supply. Highlighting the improvement in the ride share market, for second-quarter 2025, Lyft anticipates year-over-year rides growth in the mid-teens on the back of industry-leading service levels and strong rider and driver growth and engagement. Lyft has an expected revenue and earnings growth rate of 12.7% and 16.8%, respectively, for the current year. The Zacks Consensus Estimate for current-year earnings has improved 9.9% over the last 60 days. LYFT has a long-term EPS growth rate of 20.7% compared with the S&P 500's long-term EPS growth rate of 12.6%. Zacks Rank #2 Shake Shack owns, operates, and licenses Shake Shack restaurants (Shacks) in the United States and internationally. SHAK offers hamburgers, chicken, hot dogs, crinkle cut fries, shakes, frozen custard, beer, wine, and other products. SHAK is benefiting from robust same-shack sales, digital initiatives and unit expansion. Also, the emphasis on enhanced operations, innovative menu offerings, targeted promotions and expanded digital networks bodes well. Management remains optimistic about the licensing segment, citing strong global partner support and significant room for continued growth. Development efforts for 2025 are moving faster than initially expected, with Shake Shack now planning to open 45 to 50 company-operated Shacks this year. Additionally, SHAK is investing in data and guest recognition tools to create more tailored marketing strategies, aiming to drive higher engagement and conversion rates going forward. SHAK's efforts to enhance guest engagement and brand visibility through effective marketing strategies are supporting its performance in a competitive market. Shake Shack has an expected revenue and earnings growth rate of 15.6% and 45.7%, respectively, for the current year. The Zacks Consensus Estimate for current-year earnings has improved 5.5% in the last 60 days. SHAK has a long-term EPS growth rate of 31.6% compared with the S&P 500's long-term EPS growth rate of 12.6%. Zacks Rank #2 Wingstop franchises and operates restaurants. WING's operating segment consists of the Franchise and Company segments. WING offers classic wings, boneless wings, and tenders that are cooked-to-order, and hand-sauced-and-tossed in various flavors. Wingstop has an expected revenue and earnings growth rate of 16.8% and 6.6%, respectively, for the current year. The Zacks Consensus Estimate for current-year earnings has improved 0.3% in the last 30 days. WING has a long-term EPS growth rate of 18.4% compared with the S&P 500's long-term EPS growth rate of 12.6%. Zacks Rank #1 Dycom Industries is a specialty contracting firm operating in the telecom industry. DY provides diverse services such as engineering, construction, maintenance and installation services for the cable and telephone companies. DY is benefiting from the execution of fiber-to-the-home programs, maintenance and operations services, and contributions from fiber infrastructure projects for hyperscalers. Owing to the favorable demand outlook and the upbeat fiscal first-quarter results, DY raised its revenue outlook for fiscal 2026. Although customer concentration and tariff-related uncertainties may pose risks to project costs and planning, tailwinds like contract revenues are expected to counter DY's risks to a great extent. Dycom Industries has an expected revenue and earnings growth rate of 13.7% and 12.7%, respectively, for the current year. The Zacks Consensus Estimate for current-year earnings has improved 3.1% in the last 30 days. DY has a long-term EPS growth rate of 18.4% compared with the S&P 500's long-term EPS growth rate of 12.6%. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Dycom Industries, Inc. (DY) : Free Stock Analysis Report UiPath, Inc. (PATH) : Free Stock Analysis Report Shake Shack, Inc. (SHAK) : Free Stock Analysis Report Wingstop Inc. (WING) : Free Stock Analysis Report Lyft, Inc. (LYFT) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
NHK
30-05-2025
- 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
28-05-2025
- 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
