Specifically, in March 2024, the amount of cassava exported to China reached 299,600 tons, earning 133.56 million USD. Compared to March last year, it increased 33.2% in volume and increased sharply by 59.6% in value.
Accumulated in the first 3 months of 2024, Vietnam exported 890,550 tons of cassava and cassava products to China, with a value of over 400 million USD, only a slight increase of 0.7% in volume but a strong increase in value of 20%. .7% over the same period last year.
Currently, cassava is Vietnam’s first billion-dollar tuber. In 2023, exporting cassava and cassava products brings in 1.3 billion USD.
Recently, the Ministry of Agriculture and Rural Development approved the Project “Sustainable development of the cassava industry until 2030, with a vision to 2050”.
According to the Ministry of Agriculture and Rural Development, the goal is to develop a stable, effective and sustainable cassava industry; Building close links between production, processing and consumption of products to create high economic value, contributing to creating jobs, eliminating hunger and reducing poverty, and improving the lives of people in rural areas; increase the value of export turnover and protect the environment.
Specifically, by 2030, the country’s fresh cassava output will reach about 11.5-12.5 million tons. The cassava growing area using varieties that meet quality standards reaches 40-50%. The cassava growing area applying sustainable farming processes reached 50%. Export turnover of cassava and cassava products reached 1.8-2 billion USD.
Vision to 2050, Vietnam’s cassava industry continues to develop sustainably, 70-80% of cassava growing areas apply sustainable farming processes, fresh cassava output is used for deep processing of some products ( starch, ethanol, MSG…) accounts for over 90%, the export turnover of cassava and cassava products reaches about 2.3-2.5 billion USD.
https://www.worldysnews.com/china-buys-a-type-of-tuber-from-vietnam-aiming-to-earn-2-billion-usd/
Reevaluating Microsoft: Analysts Adjust Stock Price Target Post-Earnings Report
Microsoft CEO Highlights Gaming Achievements
Satya Nadella, the CEO of Microsoft, emphasized the company’s significant strides in the gaming industry. He mentioned that Microsoft offers a wide array of AI accelerators, including cutting-edge technologies from Nvidia, Advanced Micro Devices, and its proprietary silicon.
Nadella stated, “Over half of our Azure AI customers also utilize our data and analytics tools. Customers are developing intelligent applications on Azure, PostgreSQL, and Cosmos DB with seamless integrations with Azure AI.”
Microsoft recently finalized its acquisition of Activision Blizzard for $68.7 million in October. Nadella expressed the company’s dedication to expanding the reach of great games to a broader audience across various devices.
He added, “We achieved record-breaking game-streaming hours, console usage, and monthly active devices in the third quarter.”
Following the earnings report, analysts adjusted their price targets for Microsoft shares to reflect the company’s performance.
TheStreet Pro’s Chris Versace commented, “With AI adoption driving cloud usage and the potential for Integrated Cloud margins to remain high, Microsoft’s profitability is expected to continue growing.”
Analysts Optimistic about Microsoft’s Future
Bank of America Securities reiterated their buy rating and $480 price target for Microsoft, highlighting the positive impact of cloud and artificial intelligence on the company’s success.
The investment firm emphasized Microsoft’s leadership in AI and cloud technologies, predicting continued revenue growth driven by Azure AI services.
Macquarie analyst Frederick Havemeyer raised the price target to $460, praising Microsoft’s strong performance and the growth potential in the gaming segment following the Activision Blizzard acquisition.
Piper Sandler also raised their price target to $465, citing the accelerated revenue growth of Azure and the company’s commitment to maintaining a high operating margin.
Wells Fargo showed confidence in Microsoft’s future by increasing the price target to $500, highlighting the impressive results, strong demand for AI, and the company’s outlook for double-digit revenue and operating profit growth.
Reevaluating Microsoft: Analysts Adjust Stock Price Target Post-Earnings Report
The Future of AI Semiconductors: A Look at Korea’s Semiconductor AI Initiative
Image: This paper: DB
Relevant ministries including the Ministry of Trade, Industry and Energy (Minister Ahn Deok-geun, hereinafter referred to as the Ministry of Trade, Industry and Energy) and the Ministry of Science and ICT (Minister Lee Jong-ho, hereinafter referred to etc. henceforth as the Ministry of Science and ICT) Announced the ‘Semiconductor AI Initiative’ at the plenary meeting of the National Science and Technology Advisory Council held at the Presidential Office in Yongsan on the 25th.
This agenda was prepared to indicate the direction of the ‘AI Semiconductor Initiative’ announced at the ‘Semiconductor Current Affairs Review Meeting’ chaired by the President on April 9.
With the development and spread of AI accelerating further, starting with generative AI such as ChatGPT and extremely large language models, AI is expected to evolve to the same level as humans within a few years, and massive market growth accompanies with him. Accordingly, not only Big Tech but also countries around the world are fiercely competing to ensure leadership in the AI era.
The AI value chain connects various areas such as AI models, AI semiconductors, cloud, devices, and SW. The key to AI development is for each area included in the value chain to grow organically.
The AI Semiconductor Initiative consists of nine major technological innovation tasks derived from the analysis of the strengths and element technologies of each sector of the Korean AI value chain and key implementation tasks to support them. The government plans to join with the private sector to promote the AI semiconductor initiative to realize ‘the AI G3 leap forward and create a new K-semiconductor legend.’
Semiconductor AI 9 major technological innovation task
The nine major technological innovation tasks are: First, secure the source technology to lead the hegemony of AI technology.
We are developing core next-generation AI technologies, such as next-generation general-purpose AI (AGI), which can overcome the limitations of current productive AI and perform human-like capabilities in a variety of fields. In addition, we intend to achieve lightweight, low-power AI technology that consumes less energy while maintaining current performance, and ultimately develop AI to the point where it can be used freely on all devices. In addition, we plan to secure AI security technologies such as explainable AI, AI / cyber security technology, and deep pseudo-detection technology so that we can trust and use the rapidly growing AI.
Second, secure a large gap / new gap in AI semiconductors. We intend to fill a large gap in memory, where we are strong, through Processing in Memory (PIM), which applies AI computing functions to memory. We intend to apply PIM technology to DRAM such as HBM and LPDDR and NVM (non-volatile memory) to dramatically increase calculation speed and reduce power consumption.
In addition, we are challenging a new gap by developing a low-power K-AP, a Korean-style AI processor. We intend to become the first in the world to commercialize a neuromorphic AI semiconductor that mimics the structure of the human brain, and will continue to improve the NPU, which has recently reached the commercialization stage. Finally, we will develop new devices and advanced packaging technologies that can fundamentally change the semiconductor paradigm.
We intend to establish a Lab to Fab expansion platform so that the results of new device research can be applied to real sites rather than remaining in the laboratory, while supporting the development of innovative new devices stably in the medium to long term. – Amount of research and development investments. In addition, we intend to actively secure cutting-edge packaging source technology, which has become increasingly important recently.
Third, create an AI semiconductor HW/SW technology ecosystem. AI supercomputing (K-Cloud 2.0) is promoted to promote the cloud with home-grown AI semiconductors. The cloud is a platform where servers equipped with AI semiconductors act as one massive system.
We intend to support research and development and verification so that domestic AI semiconductors can operate efficiently in these large-scale cloud data centers. In addition, we are developing core on-device AI technologies that are expected to accelerate the process of everyday AI. We develop semiconductors and AI devices to drive on-device AI in performance and energy-constrained environments, and promote flagship K-on-device AI projects in key industries such as automobiles, machinery, robots, home appliances, and defense to help companies to capture the initial market We intend to provide support so that we can actively target the target.
In addition, we will develop a next-generation open AI architecture and software that efficiently manages domestically produced AI semiconductors and supports their implementation in data centers and devices. Through this, we intend to complete an AI-semiconductor ecosystem where HW and Southwest are organically connected.
In addition, in order to intensively support the 9 major AI semiconductor technology innovation tasks as key promotion tasks and promotion systems, we provide comprehensive investment and financial support, talent cultivation, establishment of industry and research innovation infrastructure, cooperation and world promotion -wide, and leading. the AI code of ethics to support the general AI-semiconductor value chain. In particular, we intend to confirm Korea’s global AI leadership by successfully holding the ‘Seoul AI Summit’ in May this year.
In particular, in order to realize the AI-semiconductor initiative, the ‘National Artificial Intelligence Committee’, a cross-national promotion system, will be launched under the direct control of the President to organize all the nation’s capabilities. In addition, we plan to continue to promote industry-academia-research-government collaboration across the AI-semiconductor value chain to deliver results across the entire industrial ecosystem.
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The Future of AI Semiconductors: A Look at Korea’s Semiconductor AI Initiative