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Mikaela Shiffrin suffers abrasion on hip during crash on final run of World Cup giant slalomBrainy, 'normal guy': the suspect in US insurance CEO's slayingWith 2025 fast approaching, the spotlight remains on artificial intelligence (AI) as a prime investment arena. While Nvidia currently stands as the frontrunner in the GPU market, several other major players are vying for attention and offer promising prospects for savvy investors. Advanced Micro Devices (AMD): Despite Nvidia’s dominant market presence, AMD is predicting a shift in the AI landscape. With the MI300 accelerators paving the way, AMD’s data center business is gaining traction similar to Nvidia. As AMD prepares to launch the MI325X architecture, it plans to aggressively challenge Nvidia’s Blackwell GPUs. These strategic advancements position AMD as a significant player in the AI race, potentially capturing a larger slice of the market in the coming years. Amazon: Known for its diverse operations, Amazon is more than just an e-commerce titan. Its evolving investments in AI technologies, including homegrown chips Trainium and Inferentia and a strategic alliance with AI firm Anthropic, set Amazon up for potential exponential growth. Although its revenue growth stands at a modest 11%, the company’s cash flow increase by over 120% year-over-year provides a solid foundation for future expansion. Tesla: Tesla’s struggles seem to be waning, with autonomous driving technology on the horizon. As 2025 approaches, Full Self-Driving capabilities could redefine Tesla’s growth. Although stock prices are high, analysts suggest long-term potential remains strong, signaling exciting times ahead for investors. In a rapidly evolving AI market, these companies offer compelling opportunities that could redefine investment landscapes. The Future of AI Investments: Opportunities Beyond Nvidia As the artificial intelligence (AI) industry rapidly evolves, investors are closely watching major players emerging in the field, especially with 2025 fast approaching. While Nvidia has long held the leading role in the GPU market, other companies are making significant strides that present new opportunities for savvy investors. Here’s a look at the latest developments and insights into key players in the AI investment landscape. Advanced Micro Devices (AMD) is positioning itself as a formidable contender in the AI domain. With its upcoming MI325X architecture, AMD aims to challenge Nvidia’s dominance in the GPU market, particularly with its Blackwell GPUs. This strategic push is expected to gain momentum through AMD’s MI300 accelerators, which are making waves in the data center business. If successful, AMD could capture a larger market share, offering promising potential for future investments. Amazon continues to expand its technological footprint beyond its well-known e-commerce platform. The company’s focus on AI innovations, exemplified by its proprietary chips Trainium and Inferentia, reflects its commitment to advancing AI capabilities. Moreover, Amazon’s strategic partnership with AI firm Anthropic further underscores its dedication to growth in this sector. Despite an 11% revenue growth, Amazon’s impressive cash flow increase of over 120% year-over-year underpins its potential for sustained expansion. Tesla remains in the spotlight with its promising Full Self-Driving (FSD) technology. As these capabilities continue to develop, they could redefine Tesla’s growth trajectory by 2025. While stock prices for Tesla remain high, analysts suggest the long-term potential for the company could lead to substantial rewards for investors, maintaining Tesla as an exciting option in the AI investment arena. The AI market’s rapid evolution introduces compelling opportunities that may alter the foundations of investment landscapes. Key industry players like AMD, Amazon, and Tesla are leading the charge toward these changes. Each company’s unique innovations and strategic moves offer unique prospects for investors looking to capitalize on the boom of AI technology. — For further insights and updates on these companies, you can visit their respective websites: – Advanced Micro Devices – Amazon – Teslaslot game online kiss918 download

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Breakdown: Turning anguish into action | Podcast Ep. 5: ‘We’re still here’Jordan Neely’s father blames racism and ‘system’ for son’s death — but where was he?TOKYO , Dec. 15, 2024 /PRNewswire/ -- Representatives from China and Japan shared their insights on promoting artificial intelligence (AI) governance and data sharing at a sub-forum of the 20th Beijing-Tokyo Forum in Tokyo recently. The sub-forum contributed eastern wisdom to AI governance and digital social development, demonstrating the significance of international cooperation for the development of the digital economy, according to Gao Shaolin, advisor at Peking University's Legal Artificial Intelligence Research Center. AI governance framework The participants agreed that the next 10 years will be a critical period for the development of AI. Gao Wen, academician of the Chinese Academy of Engineering (CAE), said since China's State Council issued a guideline on developing AI in 2017, the nation has made significant progress in AI research and development and industrial layout, especially in computing power and 5G network construction. By the end of 2023, China had over half of the world's 1.57 billion 5G users, according to the World Internet Development Report 2024. It ranked second globally in AI and computing power scale, which has laid a solid foundation for the rapid development of AI. Tatsuo Yamazaki , project professor at the International University of Health and Welfare, said it was very meaningful for Japan and China to discuss strengthening AI governance rules. Fumihiko Kamio , research director of the Nomura Research Institute, echoed his view. He emphasized that the core goal of AI technology is to improve productivity and eliminate obstacles to social development, and called on Chinese and Japanese experts to work together to build an AI governance framework to cope with the global challenges. Deepening international cooperation China put forth the Global AI Governance Initiative in October last year. In July, the UN General Assembly adopted a China -sponsored resolution on enhancing international cooperation on AI capacity-building. The participants spoke highly of the Global Cross-Border Data Flow Cooperation Initiative recently proposed by China . They agreed that AI governance requires global collaboration, especially in the formulation of international standards and the construction of ethical frameworks, where China and Japan can play an active role. Ding Wenhua, academician of the CAE, said China and Japan have both similarities and differences in technology development and governance priorities, so deepening cooperation will bring unique value to global AI governance. " China and Japan should deepen AI technology cooperation between enterprises, work together in AI security research, talent exchange, and jointly explore more possibilities for the application of technology," Wang Zhongyuan , president of the Beijing Academy of Artificial Intelligence, said. Balancing development & risks AI governance refers to the guardrails established to ensure AI systems and tools remain safe and ethical and respect human rights. Xu Zhilong , editor-in-chief of Science and Technology Daily, stressed that AI, as a revolutionary technology, has far-reaching impacts on all areas of society and economy. However, its potential risks such as data leakage and the spread of false information should not be ignored. "Technological progress and security ethics should be developed in a balanced way to ensure that AI technology always serves the progress of human civilization," Xu said. AI governance should not only heed the current technological ethics issues, but also prevent possible long-term risks, such as AI going out of human control, according to Toshio Iwamoto , senior corporate advisor of NTT DATA. He said AI R&D and application should abide by the principles of fairness, transparency, safety and availability. Yuan Yue, chairman of Beijing Dataway Horizon, shared his view from the perspective of regulatory models. "Policy choices should be based on the current status and goals of national technological development," Yuan said, adding that China prefers to provide a more friendly development environment for enterprises while ensuring an effective response to risks. View original content to download multimedia: https://www.prnewswire.com/news-releases/science-and-technology-daily-promoting-ai-governance-jointly-302332050.html SOURCE Science and Technology Daily