Latest news with #DeepSeek-powered
Iraqi News
16-05-2025
- Business
- Iraqi News
China's high-tech robot dog boosts East Baghdad oilfield operations
Baghdad ( – Cutting-edge Chinese innovations are driving progress at the East Baghdad oilfield in the Nahrawan region, where a high-tech robot dog and an advanced DeepSeek-powered system are revolutionizing site operations. These developments are improving both safety protocols and operational performance, marking a significant leap in Iraq's energy sector digitalization. The robot dog, developed in China, is specially engineered for hazardous environments. It features blast-proof capabilities, AI-driven image recognition, infrared sensors, gas detection, and real-time, traceable data collection—making it a powerful tool for high-risk fieldwork. The oilfield has been under the management of EBS Petroleum, an Iraqi subsidiary of China's ZhenHua Oil Co., since 2018. ZhenHua is part of the state-owned China North Industries Group (Norinco). Through this collaboration, Chinese technology continues to play a vital role in modernizing Iraq's oil infrastructure and boosting the country's energy development.
Yahoo
06-04-2025
- Business
- Yahoo
Why Futu Holdings Ltd. (FUTU) Performed Worst On Friday?
We recently published a list of . In this article, we are going to take a look at where Futu Holdings Ltd. (NASDAQ:FUTU) stands against other Friday's worst performing stocks. The stock market suffered a bloodbath anew on Friday as investors digested news of a growing trade war, with China making good on its promise with a steep tariff on US goods. As of 2:55 PM, the S&P 500 lost 5.47 percent of its value, the tech-heavy Nasdaq fell 5.37 percent, and the Dow Jones was down by 5.09 percent. Following President Donald Trump's imposition of hefty tariffs on all imports to the US, China on Friday struck back with a 34-percent tariff on US goods. The tariffs will begin on April 10. Ten individual stocks mirrored a broader market pessimism, recording steep intra-day losses. In this article, let us explore Friday's worst intra-day performers and the reasons behind their decline. To come up with the list, we considered only the stocks with a $2-billion market capitalization and $5 million in trading volume. A brokerage employee huddled with a group of retirees discussing retirement portfolios. Futu Holdings declined for a second day on Friday, losing 16.81 percent at intra-day trading on broader market pessimism, shunning news that it launched DeepSeek-powered tools for investors. With Futubull AI, the company was among the 20 Chinese brokers and fund managers that have embraced the power of AI. According to FUTU CEO Leaf Li Hua, Futubull AI incorporates up-to-date market data, including financial reports, research papers, online discussions from Futu's investor community, as well as stock quote information the company purchased from Nasdaq. With the integration of DeepSeek, brokers were expected to change the way they conduct research, manage risks, make investment decisions, and interact with clients. Overall, FUTU ranks 3rd on our list of Friday's worst performing stocks. While we acknowledge the potential of FUTU as an investment, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than FUTU but that trades at less than 5 times its earnings, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Forbes
05-04-2025
- Health
- Forbes
AI In Healthcare: Trends And Turning Points
Future of Healthcare Artificial intelligence is set to revolutionize healthcare and transform how we do clinical work in the United States and abroad. Each nation will implement these systems in its own ways, but many will utilize AI for all sorts of benefits, like addressing clinical work shortages, improving diagnosis, and dealing with chronic disease in populations. So let's talk about some of these outcomes. One of the first things to recognize is that today's healthcare implementations of AI prove that the technology isn't just about making pretty pictures, or writing artificial poetry. Some of us tend to think about humanities as the first (or only, if myopic) use cases for large language models. But just like human undergraduates, LLMs can be used for seeking either artistic or scientific outcomes. They can be artists, or they can be doctors. That said, many of these top use cases require significant integration. That means not only setting up hardware, and training or prompting LLM models, but connecting them to existing infrastructure and business operations. That can be easier said than done. Alvin Graylin of Virtual World Society and GenAI Consultant Karl Zhao recently sat down to talk about the realities of AI in healthcare, stateside and around the world. I thought this was helpful in seeking analysis on these healthcare systems and how this is going to play out, with the understanding that international trade is nuanced, and we have various stakeholders operating from their own points of view, in a global economy that most would agree is globally interconnected. Artificial intelligence is revolutionizing healthcare, transforming clinical workflows, and addressing critical challenges like workforce shortages, diagnostic accuracy, and chronic disease management. In the U.S., healthcare leads generative AI adoption, with investments reaching $500 million in 2024—67% higher than the second-place sector, legal services. This growth highlights AI's potential, but its real-world implementation requires more than just cutting-edge technology; it demands seamless integration with existing systems, a focus on cost transparency, and solutions tailored to privacy concerns. One of the most significant shifts in AI adoption is the move toward open-source models like DeepSeek R1 and V3. These models offer enterprises cost-effective, transparent, and customizable solutions, making them ideal for healthcare applications. Unlike proprietary systems, open-source AI allows organizations to audit algorithms, ensure compliance, and adapt models to specific clinical needs without vendor lock-in. Nvidia's recent strategy shift underscores this trend. Rather than focusing solely on hardware, the company is partnering with firms that specialize in industry-specific AI solutions built on open-source frameworks. For example, DeepSeek-powered tools have already demonstrated a 40% reduction in diagnostic times and a 28% improvement in rare disease identification. These advancements highlight how open models, combined with domain expertise, can deliver tangible outcomes in precision medicine. A critical but often overlooked aspect of AI implementation is cost distribution. While hardware like GPUs and inference chips garners attention, software services account for nearly 70% of total deployment costs. This includes model fine-tuning, integration with electronic health records (EHRs), and ongoing maintenance. Open-source models help mitigate these expenses by reducing licensing fees and enabling in-house customization. Privacy and data security are driving a major shift away from hyperscaler cloud platforms toward on-premise and private cloud deployments. As Alvin Graylin noted, "Most organizations are very hesitant to put their customer or patient data on the cloud." This is particularly true in healthcare, where regulatory compliance (e.g., HIPAA in the U.S.) and patient confidentiality are paramount. In China, for instance, strict data localization laws require hospitals to keep patient records on-premise, fueling demand for private AI deployments. While the U.S. is more flexible, concerns over cloud security and vendor lock-in are pushing healthcare providers toward hybrid or fully on-premise solutions. Karl Zhao emphasized this trend, pointing out that "software and deployment flexibility are often underestimated in AI planning." The convergence of open-source models, cost transparency, and on-premise solutions is reshaping healthcare AI. Companies like Stryker, Boston Scientific, and Medtronic are already seeing stock gains tied to AI innovation, while cloud providers like AWS and Google Cloud face competition from localized inference chips (e.g., TPUs). As Graylin aptly summarized, "AI isn't just plug-and-play—it takes time to integrate with existing systems." The future belongs to ecosystems where open models, domain expertise, and secure infrastructure combine to deliver real-world impact. For healthcare, this means faster diagnostics, better patient outcomes, and a more sustainable AI adoption curve—one that prioritizes privacy, cost efficiency, and scalability. The Bottom Line: The AI revolution in healthcare isn't just about technology; it's about how that technology gets implemented. Open-source models like DeepSeek, coupled with on-premise deployments and a clear understanding of cost structures, are paving the way for a new era of enterprise AI—one that balances innovation with practicality.
Yahoo
21-02-2025
- Business
- Yahoo
AI Atlantis revealed off the coast of China, reportedly boasting computational power equivalent to 30,000 high-end gaming PCs
When you buy through links on our articles, Future and its syndication partners may earn a commission. I don't know about you, but sometimes when I hear about just what big business AI data centres are, and the eye-watering revenue it generates for companies like AMD, my first reaction remains, "OH, get in the sea!" Well, turns out that's not an awful suggestion. Earlier this week off the coast of Hainan Island Province, China, a 'data capsule' containing more than 400 heavy duty servers was installed on the sea floor (via Global Times). These submerged servers were then connected to an already underwater data centre alongside a coastally situated station in a bid to better support the country's rapidly expanding AI infrastructure. China Media Group claims this computing centre will be capable of supporting DeepSeek-powered AI assistants through 7,000 conversations per second. The state owned media company also asserts the entire centre's computational power is comparable to that of 30,000 high-end gaming PCs—all enjoying the best liquid cooling the Earth has to offer. The 18 by 3.6 metre submerged server structure is far from the first of its kind, with a 130,000 ton data centre also taking the plunge near Hainan back in 2023. Outside of China, Microsoft is just one company who has been toying with the idea of data centres under the sea since at least 2014. When Microsoft concluded testing near the Orkney Islands, Scotland in 2020, the company observed the failure rate for submerged data centres was one-eighth of what it had otherwise seen with more traditionally land-based centres. I mean, at that time the company would've been working with a much smaller sample size (and more compact test centres to boot), but ultimately the big financial wins represented by natural cooling have proven too good not to scale up—though Microsoft itself chose not to. Data centres are incredibly power hungry wherever you stick them, and all that power results in hardware temps that'll really make you sweat. The submerged computing centre in Hainan's reliance on seawater is presented as the energy efficient option, while its resting place somewhere in the South China Sea is billed as a win for security (though just because it's at the bottom of the sea does not mean it's necessarily safe). Still, oceans of tech—a tech-lantis, if you will—remains a compelling image. I'm just far less thrilled that we're doing it in aid of not-actually-intelligent-AI. Best CPU for gaming: Top chips from Intel and gaming motherboard: The right graphics card: Your perfect pixel-pusher SSD for gaming: Get into the game first.
Yahoo
17-02-2025
- Automotive
- Yahoo
Chinese e-scooter brands Ninebot, Niu integrate DeepSeek AI for smarter rides
China's leading electric two-wheeler brands, Ninebot and Niu Technologies, are racing to integrate artificial intelligence (AI) models from DeepSeek in a bid to enhance their smart-riding capabilities. Xiaomi-backed Segway-Ninebot Group, the Beijing-based electric scooter and motorcycle manufacturer, announced on Friday afternoon that it would "deeply integrate DeepSeek". This follows moves from other vehicle makers, most notably electric vehicle (EV) giants, which have scrambled to incorporate DeepSeek-powered features into their products. "As the first company in the electric two-wheeler industry to deploy DeepSeek, this integration will significantly enhance the intelligence of Ninebot's products," the company stated in a post on Chinese social media platform Weibo. "Users will experience a substantial upgrade in smart interactions, making their rides more convenient and efficient." Do you have questions about the biggest topics and trends from around the world? Get the answers with SCMP Knowledge, our new platform of curated content with explainers, FAQs, analyses and infographics brought to you by our award-winning team. Ninebot said its mobile app has already incorporated AI features, with coming functions to include "AI-powered content creation, data analytics, personalised recommendations, and intelligent services". Companies from a variety of sectors have raced to adopt DeepSeek's open-source AI models. Photo: Reuters alt=Companies from a variety of sectors have raced to adopt DeepSeek's open-source AI models. Photo: Reuters> Its Nasdaq-listed rival, Niu Technologies, followed suit on Friday evening, declaring itself the first e-scooter brand to have fully integrated DeepSeek's large language models (LLMs) as of February 9. LLMs are the technology underpinning generative AI services such as ChatGPT and DeepSeek's namesake chatbot. "As the first electric two-wheeler company to deeply integrate DeepSeek's advanced AI technology, Niu will explore smart mobility applications in areas such as driver assistance, riding safety, AI-powered travel companions, voice interaction, and intelligent service recommendations," the company wrote on Weibo. Yadea Group, the world's largest electric two-wheeler manufacturer by sales, announced on Saturday afternoon that it, too, has embedded DeepSeek's tech into its ecosystem. The details of how these AI features will function remain unclear, but they illustrate just how widespread "DeepSeek fever" has become in China's economy. The popular low-cost, high-performance models have touched nearly every sector, with even local governments integrating the open-source technology into their systems. Over the past two weeks, more than a dozen carmakers - including BYD, Geely, Great Wall Motor, Chery Automobile, SAIC Motor, and start-up Leapmotor - have announced plans to develop cars fitted with DeepSeek's AI features. "Cars without DeepSeek will either lose market share or be edged out of the market," said Phate Zhang, founder of Shanghai-based EV data provider CnEVPost. Similar to the EV industry's going-abroad trend, China's e-scooter brands have been gaining traction in overseas markets. Exports of electric two-wheelers rose 27.6 per cent year on year to US$5.82 billion in 2024, surpassing the previous peak of US$5.31 billion in 2022, according to customs data. Export volume rose 47 per cent year on year to 22.13 million units. This article originally appeared in the South China Morning Post (SCMP), the most authoritative voice reporting on China and Asia for more than a century. For more SCMP stories, please explore the SCMP app or visit the SCMP's Facebook and Twitter pages. Copyright © 2025 South China Morning Post Publishers Ltd. All rights reserved. Copyright (c) 2025. South China Morning Post Publishers Ltd. All rights reserved.
