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The performance figures emerged at Nvidia AI Day Seoul 2026, held on November 9 and 10, where both South Korean chipmakers presented applications of accelerated computing and AI to semiconductor development. Samsung’s fastest configuration delivered an approximately 3,800-fold improvement over a conventional processor-based calculation, although the comparison involved different computational methods.

Samsung demonstrated a thermal and mechanical simulation designed to predict how semiconductor structures respond to heat and physical stress. The original calculation required approximately 18 hours on a 32-core central processing unit using a detailed computational grid. An AI-assisted calculation finished in 41 seconds on one Nvidia H100 graphics processor and 17 seconds using four processors.

The single-GPU configuration produced an approximately 1,600-fold speed improvement, the figure highlighted in Nvidia’s official announcement. The faster four-GPU result illustrates additional acceleration through parallel processing, rather than an identical test conducted with unchanged hardware and numerical methods.

Samsung’s approach combines Nvidia’s PhysicsNeMo artificial intelligence framework with a technique known as AI homogenisation. This replaces highly detailed representations of complicated semiconductor structures with simplified computational models that preserve important physical properties.

The companies demonstrated how a structure containing approximately one billion fine-scale computational elements could be represented using roughly one million larger cells. AI models estimate effective material properties, allowing engineers to calculate thermal behaviour and mechanical deformation without repeatedly processing every microscopic feature.

Samsung reported 99.17% accuracy in effective vertical thermal conductivity for the demonstrated workflow. That measurement applies to the specified physical property and test conditions, rather than establishing equivalent accuracy across every aspect of semiconductor simulation.

The development addresses a significant engineering challenge as advanced semiconductor packaging introduces increasingly complicated arrangements of materials and components. Temperature variations and mechanical stress can affect chip reliability, making accurate simulations important before designs enter manufacturing.

Samsung’s Computational Science and Engineering team worked with Nvidia to develop an integrated scientific machine-learning pipeline. The process generates synthetic semiconductor layouts, produces simulation data through GPU-accelerated calculations and trains physics-aware models to estimate material behaviour.

SK hynix separately outlined its TCAD 3.0 programme, which integrates AI with technology computer-aided design software used to model semiconductor manufacturing processes and device characteristics before physical production.

Kim Jung-han, head of the company’s TCAD Intelligence team, presented an AI model developed with Nvidia PhysicsNeMo to predict changes in material profiles during etching. The system produces results comparable to conventional simulations at speeds described as several dozen times faster.

Etching involves removing selected materials from semiconductor wafers through tightly controlled manufacturing steps. Individual processes can involve numerous variables, including temperature, pressure and gas flow, making comprehensive simulation computationally demanding.

SK hynix also demonstrated chip-scale thermal and mechanical calculations running more than 30 times faster than a conventional 32-thread CPU configuration. Its approach distributes calculations across multiple graphics processors while reusing information obtained from smaller computational regions.

The company said performance increased almost proportionately as additional GPUs were introduced, suggesting that larger computing installations could handle increasingly demanding engineering workloads.

The two manufacturers’ performance figures reflect different simulations, hardware configurations and measurement conditions. Neither demonstration establishes that complete semiconductor development cycles can achieve equivalent reductions in duration.

Samsung is extending its Nvidia collaboration into semiconductor process modelling, optical simulation and materials research. Its sMOL research platform has achieved up to fivefold acceleration in selected quantum chemical calculations using Nvidia’s cuEST software.

The company is also evaluating Nvidia’s cuISS and cuDSS libraries for computationally intensive mathematical operations involved in semiconductor device modelling. These tools address different engineering workloads from the thermal simulation demonstrated in Seoul.

SK hynix’s broader collaboration with Nvidia includes accelerating existing simulation software and developing AI-assisted manufacturing models. The companies have also agreed to cooperate on advanced memory technologies and digital representations of semiconductor fabrication facilities.

Nvidia’s PhysicsNeMo framework supports machine-learning models that incorporate physical principles and simulation data. Its Warp software provides GPU-accelerated computing capabilities used to generate training information for engineering applications.

Samsung’s demonstrated pipeline uses these technologies together, with the trained models supplying simplified material properties for subsequent large-scale calculations. The companies are exploring software agents capable of coordinating simulation tasks and evaluating alternative engineering designs.

Samsung has made an example of its physics-based modelling work available through Nvidia’s PhysicsNeMo resources, alongside research covering semiconductor simulation techniques presented at the 2026 Design Automation Conference.

The Nikkei 225 closed at 58,775.50, gaining 1,340.73 points, while the broader Topix advanced 2.97% to 3,818.16. The rebound followed Friday’s 6% plunge, which left the Nikkei more than 20% below its June record, the threshold commonly used to define a bear market.

Buying extended across the Tokyo market rather than remaining confined to semiconductor companies. Of the Nikkei’s 225 constituents, 208 rose and 17 fell, indicating widespread demand after several sessions of selling. The recovery nevertheless left the benchmark substantially below its level at the beginning of last week.

Investors took encouragement from Friday’s gains on Wall Street, where technology stocks recovered after sharp declines linked to concerns about potential changes in United States policy towards artificial intelligence. The Nasdaq Composite gained 1.09% and the S&P 500 rose 0.32%, providing a firmer backdrop for Asian trading.

Nvidia and Tesla had recovered in that American session after investors reassessed the implications of Democratic victories in the US midterm elections. Market participants have questioned whether tighter scrutiny of artificial intelligence could slow the construction of data centres and affect demand for the advanced chips and equipment supplying them.

Those concerns remain particularly significant for Tokyo’s equity market, where semiconductor equipment manufacturers, technology investors and industrial suppliers carry substantial weight in benchmark movements. The sell-off had spread beyond companies directly involved in artificial intelligence, reflecting broader reductions in exposure to riskier assets.

Takuma Ikemoto, a market analyst at Tokai Tokyo Intelligence Laboratory, cautioned that uncertainty surrounding American policy could limit further advances once the initial wave of buying subsided. His assessment highlighted the distinction between a recovery from heavily sold conditions and a sustained improvement in expectations for technology earnings.

Individual stock movements showed that the rally was uneven despite the strong headline index gains. Consulting services company Baycurrent climbed 8.8% to a record closing high, making it the Nikkei’s strongest percentage performer. Construction group Shimizu gained 7.7%, while industrial manufacturer Mitsubishi Electric advanced 7.3%.

SoftBank Group, a prominent investor in artificial intelligence ventures, remained under pressure during the session, illustrating continuing investor caution towards businesses closely associated with the sector’s expansion. Its weakness contrasted with gains elsewhere and suggested that buyers were distinguishing between companies rather than returning indiscriminately to all technology-related shares.

Banking stocks also attracted demand as Japanese government bond yields moved higher. Rising yields can support banks’ lending margins, although their effect depends on funding costs and broader credit conditions. Automakers, retailers and non-ferrous metal producers contributed to the market’s advance, giving the recovery a wider base than the previous technology-led fluctuations.

The Topix’s larger percentage gain reflected the strength of shares across a broader range of companies. On the Tokyo Stock Exchange’s Prime Market, 1,412 issues advanced, compared with 120 declines and 13 unchanged. Thirty-one of the exchange’s 33 industry groups finished higher, with food and shipping among the exceptions.

Developments in the Middle East also shaped investors’ assessment of market risk. US President Donald Trump said on Sunday that further American attacks on Iran were highly unlikely while diplomatic discussions continued, with Qatar involved in mediation. The comments offered some reassurance, although accounts of attacks on vessels near the Strait of Hormuz underscored the fragility of the situation.

Disruption to energy shipments through the waterway has complicated the outlook for Japan, which depends heavily on imported fuel. Changes in oil prices influence corporate costs, household spending and inflation expectations, making the security of Gulf shipping an important consideration for investors alongside movements in technology shares.

Monday’s closing figures also showed the distance still to be recovered after the previous week’s losses. The Nikkei had finished November 2 at 63,081.86, well above Monday’s level despite the sizeable daily increase. The gap illustrated how a sharp one-day advance can coexist with substantial losses over a longer trading period. Investors therefore remained sensitive to changes in overseas equity markets, policy expectations and corporate earnings forecasts.

The session’s strongest performers included businesses outside the artificial intelligence supply chain, while the weaker areas showed that the rebound was not uniform. Shipping and food shares lagged the broader market as investors repositioned portfolios following the previous week’s abrupt decline.

Google announced on 4 November that it would invest the money during 2027 and 2028, developing data centre campuses alongside clean energy, water security and workforce programmes. The commitment comes as parent company Alphabet forecasts capital expenditure of $195 billion to $205 billion for 2026 and a further significant increase next year.

The scale of those commitments is central to the debate surrounding Alphabet shares. Demand for AI computing is accelerating, but building capacity requires substantial upfront expenditure on servers, specialised chips, electricity and facilities. Higher depreciation and operating costs could put pressure on profitability before the investments generate their expected returns.

Alphabet has not disclosed how the Malaysian commitment will be divided between its various projects or how much represents spending already incorporated into its group forecasts. The $15 billion therefore cannot simply be added to its published capital expenditure guidance as an entirely separate obligation.

The company’s third-quarter results nevertheless demonstrate the commercial opportunities supporting its investment programme. Revenue rose 25 per cent to $127.6 billion in the three months ended September, while Google Cloud revenue increased 103 per cent to $30.7 billion. Alphabet reported net income of $26.2 billion and an operating margin of 31.8 per cent.

Management has said cloud demand is stretching available computing capacity. It expects sales of its tensor processing unit systems to expand further in 2027, although using third-party computing resources to bridge supply shortages is expected to weigh on cloud margins in the nearer term.

Alphabet’s financial disclosures show that capital expenditure reached $132 billion during the first nine months of 2026, compared with $63.6 billion in the corresponding period of 2025. Depreciation on property and equipment increased to $22 billion from $15.1 billion over the same periods, illustrating how infrastructure investment is already affecting expenses.

The company also disclosed $130.5 billion in future payments associated with leases not yet commenced, primarily involving data centres and energy infrastructure. Those commitments extend across multiple years and are distinct from the cash capital expenditure recorded during the reporting period.

Google’s Malaysian programme includes additional campuses in Selangor and Negeri Sembilan. Its first campus at Elmina Business Park in Selangor is already operating, while computing capacity there will support a planned Google Cloud region serving enterprise customers.

Ruth Porat, president and chief investment officer of Alphabet and Google, said the expansion would provide computing capacity while adding local power and water resources as operations grow. Google said it would pay for all electricity consumed by its campuses and the direct costs of connecting them to the grid.

The company plans to enable more than one gigawatt of additional clean energy capacity on Malaysia’s national grid. Its initiatives include collaboration with Tenaga Nasional Berhad on new generation projects and exploration of electricity supplies capable of meeting demand throughout the day.

Malaysia’s government has welcomed the investment while emphasising the need for domestic economic benefits. Digital Minister Gobind Singh Deo said on 5 November that he had invited Google to explore further cooperation on AI-enabled cities and AI safety, including support for the Malaysian AI Safety Institute. Details of any additional partnership remain pending.

Google estimates that construction of the new campuses during 2027 and 2028 will contribute an annual average of $1.1 billion to Malaysia’s gross domestic product and support more than 37,000 jobs each year. These are company projections rather than employment or economic outcomes already achieved.

Once operational, the facilities are projected to support more than 9,000 jobs annually, including employment connected to local suppliers and services. Google is working with more than 80 Malaysian entities across construction, engineering, logistics and other activities.

Water management is another element of the expansion. Google has announced river basin restoration initiatives and rainwater harvesting systems for four schools in Selangor. It says independent specialists will audit the water benefits, while site-level consumption figures will be disclosed through environmental reporting.

The company has also outlined four training programmes intended to reach approximately 800,000 people between 2027 and 2031. They cover educators, small businesses, public-sector workers and vocational trainees, including planned data centre training institutes at selected polytechnics in Selangor and Negeri Sembilan.

QuantumCompute Solutions indirectly owns approximately 85.94% equity interest in Shanghai Tianjing Fulian. Shanghai Tiangjing Fulian is also 5.56%-owned by Foxconn Industrial Internet, the shares of which are listed on the Shanghai Stock Exchange (stock code: 601138.SH). The Shanghai Tianjing Fulian Group is principally engaged in the design and development of AI SoC products and integrated solutions, with a particular focus on low-power, cost-effective AI computing and edge computing applications. Through its chip design capabilities and comprehensive technology solutions, the Shanghai Tianjing Fulian Group has established a solid technological foundation in AI inference and edge-side computing infrastructure. The Shanghai Tianjing Fulian Group is an officially authorised independent chip design house for MediaTek Inc., a leading global semiconductor company.

The Directors believe that the Acquisition will enable the Group to expand its business scope from its existing fintech and computing power services into AI chip design and edge computing infrastructure, thereby strengthening its technology capabilities and building a comprehensive ecosystem encompassing computer infrastructure, AI chips and AI application solutions. This strategic expansion aligns with strong growth in the AI semiconductor, edge computing, and digital infrastructure sectors, driven by rising demand for low-latency, real-time AI solutions as well as supportive government policies promoting semiconductor innovation and digital infrastructure investment.

The Group has appointed Dr. Tang Tianshen as its chief strategic consultant to advise on the the strategic development and operations of the Group’s fintech-related businesses. Dr. Tang holds a doctorate in electronic engineering from Texas A&M University and possesses extensive expertise spanning academic research, advanced chip design, and executive leadership in the semiconductor industry. Dr. Tang has served in senior roles of various leading technology companies, including Intel, Shanghai Hua Hong and SMIC.

The Board considers that the transaction represents an opportunity to acquire immediate access to AI chip design capabilities, specialised technical talent, established technology assets, and growth opportunities in the AI industry. Compared with developing such capabilities internally, the Acquisition is expected to accelerate the Group’s entry into the AI semiconductor and edge computing sectors, shorten development time, and strengthen its competitive position in the evolving digital economy. In the long term, the Acquisition is expected to support the establishment of an ecosystem covering computing infrastructure, AI chips, and AI application solutions, creating sustainable growth drivers and delivering long-term value to shareholders.

Hashtag: #IBS

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By Nilotpal Basu Faced with growing protests over the large-scale electoral malpractices initiated by the supposedly neutral umpire, the Election Commission of India, which clearly favours the BJP, the government and the ruling party have gone berserk. Like a drowning man clutching at straws, the ruling party and its army of social media foot soldiers […]

The article Regime Change Threat And Foreign Funding Are The Bogey Of Ruling Party To Curb Dissent appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

According to data from Frost & Sullivan, GREE’s leading position in the global Premium residential air conditioning market is built upon comprehensive superiority in core product performance. Consumers in the Premium segment do not pay merely for a “higher price tag”, instead, they choose products that offer superior usage experiences, more durable and stable operation, and outstanding energy-saving performance. GREE’s widespread recognition in this market is fundamentally rooted in its years of deep cultivation in energy efficiency technology, noise reduction technology, and comfortable airflow technologies. These technologies have passed the most demanding user tests across diverse scenarios in different countries and regions.

Winning recognition in the global premium market ultimately relies on what the product itself says. GREE’s reputation for quality among global consumers stems from sustained investments in core technologies, superior user experiences, and user value over many years.

To address the harsh challenges posed by diverse global climates, GREE independently developed a matrix of core compressor technologies covering all climatic zones. The Timo series, equipped with G-Boost single-stage enthalpy-adding compressors, was specifically developed for extremely hot regions like the Middle East. It remains reliable operation even at ambient temperature of 68℃, achieving non-declining cooling performance at 54℃. The Airy series pioneered the commercialization of ultra-wide frequency rotary compressors, capable of continuous heating for 10 hours without defrosting, improving the seasonal energy efficiency ratio (SEER) by 9.5% to 16.7%. The S-cool series, equipped with G-Hyper dual-cylinder two-stage compressors, was crafted for extremely cold regions such as Northern Europe and North America. It operates stably within an ultra-wide temperature range of -40℃ to 54℃, achieving industry breakthroughs of “non-declining heating at -25℃ and non-declining cooling at 46℃”. These three compressor technologies provide “all-climate comfort” solutions for users in different climate belts through their respective differentiated technical paths.

In key dimensions of user experience, GREE also addresses consumer pain points with hardcore technology. The newly launched 2026 “Ai Silent King” features GREE’s self-developed AI energy-saving chip. Paired with artificial intelligence algorithms, it saves energy from the moment it is turned on, improving annual energy efficiency by 23%. Meanwhile, GREE’s SilenzX series air conditioners achieve ultra-low sound pressure levels of just 29 dB(A) for the outdoor unit and 15 dB(A) for the indoor unit—far below the industry average. This achievement earned the Gold Medal at the 51st International Exhibition of Inventions of Geneva, marking GREE’s leadership in the field of noise reduction technology globally.

From compressors to whole unit systems, from AI energy saving to quiet technology, GREE has built the core competitiveness of Premium products through solid technological accumulation and continuous innovation breakthroughs, creating truly high-quality air experiences for global users.

As of July, GREE holds 50 “world-leading” technologies. From residential air conditioners to central air conditioning systems, from single-refrigerant systems to solutions covering all climatic zones, GREE has constructed a complete, autonomous, and controllable technology matrix. It is this systemic innovative capability that allows GREE to maintain rapid response and technical adaptation capabilities in the face of differentiated needs across global markets.

Currently, GREE products serve more than 190 countries and regions worldwide. By adhering to serving users with core technologies and high-quality service, GREE continues to meet people’s pursuit of a better life. Honors are witnesses to the past, and innovation is the eternal coordinate. Standing at a new starting point, GREE Electric Appliances will continue to drive high-quality development through independent innovation, moving from “scale leadership” to “value guidance,” and from “Chinese Manufacturing” to “Global Brand”, thus achieving “Made in China, Loved by the World”.

Hashtag: #GREE

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The forecast identifies large language models, which underpin generative AI applications, as an area where China is particularly well positioned to establish leadership. It also anticipates that Chinese companies and research institutions will become at least competitive across other critical technology sectors, potentially reshaping the balance of technological capabilities between Beijing and Washington.

The assessment comes as Chinese AI developers narrow the performance gap with American competitors despite restrictions on access to advanced semiconductors. Improvements in model efficiency, expanding domestic computing infrastructure and competitive pricing have strengthened China’s position in the global market.

Bloomberg Intelligence senior analyst Robert Lea identified a sharp improvement in Chinese model performance earlier this month. Leading Chinese systems trailed their American counterparts by approximately 3% on benchmark scores, compared with around 9% in May and 15% earlier this year.

That narrowing gap followed the September introduction of DeepSeek’s V4.1 Flash model, which demonstrated further advances in reasoning and computational efficiency. The findings suggest that restrictions on sophisticated American chips have not prevented Chinese developers from improving their systems.

The projections nevertheless remain conditional on technological progress, investment and commercial adoption over the next four years. Competitive performance in individual benchmarks does not necessarily establish overall leadership, particularly when computing capacity, profitability and enterprise deployment are considered.

China’s expanding capabilities are already influencing international adoption patterns. Models developed by DeepSeek, Alibaba and Moonshot AI have attracted developers seeking alternatives to comparatively expensive proprietary systems offered by American technology companies.

Data from OpenRouter, a platform providing access to multiple AI models, showed Chinese systems gaining substantial shares of usage during 2026. However, the figures represent activity through that platform rather than the entire global market, where direct subscriptions and enterprise contracts remain significant.

Chinese developers have also benefited from distributing models with openly available weights, allowing businesses and programmers to customise systems without depending entirely on proprietary services. This approach has encouraged international experimentation and strengthened adoption among cost-conscious users.

American companies retain important advantages, particularly in advanced semiconductor access, large-scale computing infrastructure and commercial relationships with enterprise customers. OpenAI, Anthropic and Google continue investing heavily in frontier models and the infrastructure required to train increasingly sophisticated systems.

Financial performance illustrates the distinction between technological competitiveness and commercial success. Anthropic disclosed revenue of $16.3 billion for the first half of 2026, compared with $1.2 billion during the corresponding period a year earlier, reflecting strong demand for its enterprise services.

Chinese developers face greater pressure on pricing, with intense domestic competition limiting opportunities to convert growing usage into sustainable earnings. Lower-cost models can accelerate adoption while simultaneously reducing margins available to finance future development.

Semiconductor manufacturing remains another constraint. Washington’s export controls restrict Chinese access to certain advanced processors and manufacturing equipment, although domestic suppliers including Huawei are developing alternatives intended to support national computing requirements.

China’s response increasingly combines domestic chip development with software optimisation. Researchers have demonstrated that improvements in training methods, architecture and inference efficiency can reduce dependence on the most powerful available hardware.

Beijing is also pursuing greater integration between artificial intelligence and telecommunications infrastructure. A three-year programme issued by the Ministry of Industry and Information Technology in June established targets for autonomous networks, computing access and specialised AI applications through 2028.

The programme envisages significant breakthroughs in core technologies by 2030, alongside improved coordination between communications networks, computing resources and intelligent services. Its objectives complement broader efforts to establish domestic technological capabilities.

Regulatory developments could influence the international availability of Chinese technology. Authorities proposed export restrictions this month covering 23 categories of AI technology, including language models, autonomous agents, chip designs and computing clusters.

The draft measures would potentially subject transfers of certain model weights, source code and advanced technologies to government approval. Their final scope and implementation remain undetermined.

China’s Ministry of Commerce has presented the proposals as part of a wider effort to regulate strategically sensitive technology transfers. The consultation also covers technologies beyond artificial intelligence, reflecting the government’s expanding attention to intellectual property and national security.

For overseas developers using Chinese models, the eventual rules could affect access to advanced systems and associated technical resources, depending on the restrictions adopted and the thresholds applied to particular technologies.

With products sold in more than 80 countries, Thailand’s leading Sriracha producer highlights its global distribution strength, product innovation and ambition to grow Thai Sriracha on the world stage.

BANGKOK, THAILAND – Media OutReach Newswire – 26 October 2026 – Exotic Food Public Company Limited (XO), a leading Thai manufacturer and exporter of premium sauces, condiments and culinary products, is showcasing the strength of Thai brands on the global stage at SIAL Paris 2026, one of the world’s leading international food industry exhibitions, held from 17–21 October in Paris, France. The company’s participation reflects its ambition to take authentic Thai flavours beyond traditional export markets and build globally competitive brands through product innovation, international market expertise and strong distribution partnerships.

With products distributed in more than 80 countries and available at over 30,000 points of sale worldwide, Exotic Food has established a strong international presence through its flagship brands, Exotic Food and Flying Goose. Europe remains one of the company’s key markets, where its portfolio of Thai sauces, condiments and culinary products continues to reach consumers through international retail and distribution networks.

Bringing together more than 8,000 exhibitors from 130 countries and showcasing over 400,000 products, SIAL Paris 2026 serves as a major meeting point for the global food industry. For Exotic Food, the exhibition provides an important platform to connect with international buyers and distributors, strengthen existing business relationships and explore new market opportunities, while demonstrating how Thai food brands can compete in an increasingly diverse global marketplace.

At SIAL Paris 2026, Exotic Food is presenting its portfolio of authentic Thai flavours alongside innovations developed for international consumers. A key highlight is the Flying Goose Sriracha range, featuring more than 50 flavours, together with creative product collaborations such as Sriracha-flavoured potato chips and peanuts. The showcase reflects the company’s ability to combine Thai culinary heritage with an understanding of evolving global food trends, bringing familiar Thai flavours into new product categories and consumer experiences.

The company’s distinctive bright-red exhibition booth draws inspiration from Thai culture and the signature identity of Flying Goose Sriracha, creating a strong visual expression of its Thai roots and international brand positioning.

Mr. Jittiporn Jantarach, Chief Executive Officer of Exotic Food Public Company Limited, said, “Taking Thai flavours to the world is only the beginning. Building a successful global brand requires a deep understanding of international consumers, the ability to adapt to different markets, and a long-term commitment to quality and innovation.

“At Exotic Food, we combine our Thai culinary heritage with global market expertise to create products that resonate with consumers across cultures. Our presence at SIAL Paris reflects not only how far Thai brands have come, but also their potential to compete and grow on the world stage.”

Beyond international expansion and product innovation, Exotic Food continues to strengthen its sustainability commitments as part of its long-term business strategy. The company has achieved ISO 14068-1:2023 certification, supporting its roadmap towards Carbon Neutrality by 2040 and Net Zero Emissions by 2050. The certification reinforces its commitment to internationally recognised environmental standards and sustainable operations, particularly as sustainability becomes an increasingly important consideration for global business partners and international trade.

Through its participation in SIAL Paris 2026, Exotic Food continues to demonstrate how Thai companies can move beyond traditional food exports to establish distinctive, internationally competitive brands. By combining authentic Thai flavours with global market understanding, continuous innovation and responsible business practices, the company is reinforcing the growing potential of Thai brands in the international food industry.

Hashtag: #ExoticFood

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The two-day summit, inaugurated on Friday at the Brilliant Convention Centre, attracted investment proposals worth approximately ₹5,800 crore, potentially generating more than 10,000 jobs. Separately, five companies received letters of intent for land allocation covering projects valued at ₹9,625 crore.

The proposed semiconductor facility, involving Paras Semiconductors, a subsidiary of Paras Defence and Space Technologies, represents one of the state’s largest identified investments in advanced chip packaging. The company signed a memorandum of understanding with the state government on July 22 for a greenfield outsourced semiconductor assembly and testing plant.

The project is planned for the Indore-Ujjain corridor, where the government has identified approximately 50 acres for development. Its proposed capabilities include advanced packaging technologies associated with increasingly complex semiconductor devices, although commercial production schedules and confirmed manufacturing capacities remain undisclosed.

Advanced packaging allows multiple semiconductor components to be integrated within compact assemblies, improving communication between chips and potentially reducing power consumption. Technologies involving three-dimensional integration are particularly relevant to artificial intelligence accelerators, high-performance computing and specialised processors.

The proposed plant has been described as incorporating sophisticated packaging and testing capabilities. However, claims that it will become India’s first operational 3D artificial intelligence chip packaging facility remain dependent on implementation, technical specifications and the commissioning of competing projects.

Yadav said the summit demonstrated growing interest among technology companies in establishing manufacturing, research and engineering operations in Madhya Pradesh. More than 1,000 delegates participated, including representatives from Japan, South Korea, Taiwan and Sweden.

The investment proposals announced during discussions included ₹1,800 crore from Spintronics AI Semiconductors for phased development and ₹1,200 crore from Lalwala Industries for semiconductor manufacturing and chip design activities.

Other prospective investors included companies operating in electronics manufacturing, semiconductor design, healthcare technology and associated services. The government indicated that the proposals would require further approvals and implementation agreements before their anticipated employment benefits could materialise.

Among the five companies receiving land allocation letters, Cytech RE proposed a ₹6,415 crore hyperscale data centre with a capacity of 50 megawatts at Ganga Malanpur in Gwalior. The project represents the largest individual investment covered by those letters.

Una Ecosystems proposed a ₹2,000 crore lithium-cell manufacturing facility in Bhopal, while Auriga IT Solutions outlined a ₹500 crore global capability centre in Indore. Meena Circuits and Kaynes Electronics proposed electronics manufacturing investments of ₹400 crore and ₹310 crore respectively.

These investments extend beyond semiconductor fabrication and packaging, reflecting the government’s broader effort to attract data infrastructure, electronics manufacturing and technology services. The distinction is significant because the aggregate investment figures announced at the summit encompass several industrial categories rather than semiconductor production alone.

Yadav also announced plans for a Semiconductor Centre of Excellence and a separate Centre of Excellence for Photonics and Quantum Technologies. Both institutions are intended to support research, chip design, innovation and specialised workforce development.

The Madhya Pradesh State Electronics Development Corporation exchanged memoranda of understanding with five institutions, including SEMI India, Semiconductor Laboratory in Mohali and the Electronics Sector Skills Council of India.

The agreements cover technical collaboration, training, research and industry engagement. Their implementation is expected to involve cooperation between government agencies, academic institutions and private companies seeking access to specialised semiconductor expertise.

The state’s Semiconductor Policy 2025 offers financial incentives for eligible projects, including capital assistance and subsidised electricity. Officials have presented these measures as instruments for attracting investment into a sector requiring substantial initial expenditure and dependable infrastructure.

Yadav assured participating companies of administrative assistance, including streamlined approvals, single-window clearances and access to electricity supplies. He also identified the Indore-Ujjain Economic Corridor as a priority location for semiconductor packaging, electronics manufacturing and chip design.

Seven additional companies received letters of intent for office accommodation at the Electronics Complex in Pardesipura, Indore. Their proposed activities include semiconductor design, engineering services, research, artificial intelligence applications and electronics development.

The allocations cover approximately 44,816 square feet and carry projections of 1,280 employment opportunities. Among the beneficiaries are ADT Semiconductors, Spintronics AI Semiconductors, H-Semi Products and Truechip Solutions.

The summit’s programme includes technical discussions on semiconductor supply chains, advanced packaging, fabless chip design, photonics, quantum technologies and workforce requirements, alongside exhibitions involving more than 50 participating companies.

For Tongxiang, long associated with the annual internet conference, the summit is also a chance to demonstrate how local companies are commercializing AI technologies for customers at home and abroad.

Ahead of the event, reporters visited seven Tongxiang-based companies working in robotics, intelligent vehicles, synthetic data, industrial automation, logistics and computing infrastructure.

Singapore Changi Airport earlier this year placed a fourth order for commercial cleaning robots from CenoBots, a Tongxiang-based company whose machines are used in airports, supermarkets, hospitals, factories and warehouses.

CenoBots has sold products in more than 40 countries and regions. Its customers include Changi Airport, British retailer Tesco, the University of Minnesota and pharmaceutical company Novo Nordisk. This year, the company supplied about 600 autonomous cleaning robots for Tesco Express stores across the United Kingdom.

“Cleaning robots are appearing in more and more settings,” said Shen Jizhong, CenoBots’ co-founder and vice president. “It is much like electric vehicles becoming a familiar sight on the roads — a trend that is gathering pace.”

The company’s machines are adapted to different settings. Hospital robots must move through busy corridors without disrupting patient care, while those used in supermarkets navigate around shoppers and carts. Factory robots operate near forklifts, and airport models must handle both fine debris in carpeted areas and small obstacles on smooth floors.

CenoBots continues to refine its robots through real-world testing, focusing on reliable operation and consistent cleaning performance across diverse environments. The company has expanded its research, development and production facilities in Tongxiang from approximately 3,000 square meters in its early years to more than 20,000 square meters. Local malls, hospitals and sports venues have also served as long-term testing sites.

While CenoBots focuses on service robots, TEEMO is developing the vehicle platforms that support autonomous mobility. The company makes drive-by-wire skateboard chassis and core components for autonomous vehicles used in last-mile delivery, patrols and logistics.

Its standardized chassis can be equipped with different vehicle bodies and hardware for specific uses. One of TEEMO’s strategic customers, autonomous delivery-vehicle maker Zelos, was selected for all lots in China Post’s centralized procurement program for 7,000 autonomous delivery vehicles.

TEEMO’s customers already span the United States, the Middle East, India and Russia, said Zhang Yongjian, the company’s director of operations.

“In some overseas markets, distances are long, populations are dispersed and last-mile delivery is difficult to staff,” Zhang said. “Autonomous delivery vehicles have strong potential there, and overseas business will become an important growth driver for us.”

Other Tongxiang companies are concentrating on the data and perception systems that allow machines to function in physical environments.

Dayan Technology, founded in Tongxiang in May 2025, provides synthetic-data and toolchain services for autonomous-driving and humanoid-robotics companies. It combines real-world data collection, digital twins and simulated training environments to help developers train robots before they are deployed.

Its wearable devices record human movement and interactions with objects. A haptic glove uses liquid-metal and pressure sensors to capture hand gestures, finger movements and contact force. A multi-camera headset records a user’s visual field, body posture, hand movements and the position of nearby objects.

Dayan said its tactile-perception model can process touch signals in milliseconds. The technology is intended to help robots do more than identify objects visually: They can learn how firmly to grip an item, recognize when it is slipping and apply force without causing damage.

Freetech is applying related sensing and decision-making capabilities to intelligent driving. The company develops intelligent-driving systems and 4D imaging radar for passenger and commercial vehicles, and said its technology has been selected for hundreds of vehicle programs.

Its ODIN AI platform supports products at different levels of driving automation. The radar is designed to complement cameras in heavy rain, fog, darkness and abrupt changes in light, including when vehicles enter or leave tunnels.

At its intelligent-manufacturing base in Wuzhen, Freetech is also using AI in production. An in-house system reads customer orders and calculates the components and materials needed for each production line before manufacturing begins. The company said the system has increased overall efficiency by more than 20%.

“Transportation combined with a specialized function will be an important direction for the future,” said Dr. Zhang Lin, Freetech’s founder and CEO.

Freetech sees potential applications beyond passenger vehicles, including robots, elder-care vehicles, mining equipment and agricultural machinery.

Beyond mobility, Tongxiang firms are using AI to address the complexity of industrial operations. Founded in 2019, Shuhan Technologies provides on-premises industrial AI for chemical plants, energy facilities and wastewater-treatment systems. Its AI-driven control layer continuously ingests data from central control systems and field sensors, identifies dynamic conditions and autonomously adjusts operating parameters in real time.

“Fundamentally, all industrial process challenges can be framed as control and optimization problems,” said Zhai Zhengjun, Shuhan’s Chief Technology Officer.

At a coal chemical plant with annual capacity of 1.2 million metric tons, Shuhan said its system reduced raw-material consumption by 6%. The company estimated that the deployment generated more than 176 million yuan, or about $26 million, in annualized economic benefits and reduced carbon emissions by more than 500,000 metric tons.

SENAD is targeting bottlenecks in logistics operations, including loading, unloading, sorting and pallet handling. It develops autonomous loading and unloading robots, as well as a multimodal logistics model called Robot Insight, for sectors including beverages, tobacco, consumer goods, pharmaceuticals and logistics.

Tongxiang’s AI sector also includes companies addressing the infrastructure needed to run increasingly powerful computing systems. SynthCool is tackling a basic constraint of the AI boom: heat.

SynthCool develops two-phase liquid-cooling systems to address the heat generated by increasingly powerful processors. Inadequate cooling can trigger thermal throttling, reducing performance and energy efficiency.

“Heat dissipation is infrastructure,” said Zhu Zhijiang, SynthCool’s general manager.

SynthCool’s two-phase cooling technology uses the latent heat of vaporization to remove heat from processors. The cooling fluid absorbs heat and boils into vapor, which is then condensed back into liquid and recirculated.

Depending on ambient conditions and system design, two-phase cooling can also support free cooling and reduce reliance on compressor-based refrigeration. Waste heat may be recovered where temperatures and local demand make reuse practical.

According to SynthCool, its technology supports heat dissipation of more than 3,000 watts per chip and heat flux above 250 watts per square centimeter. Under comparable cooling requirements, the system requires approximately one-third of the flow needed by conventional single-phase water-cooled cold plates, helping reduce piping requirements and pumping demand.

SynthCool’s portfolio includes two-phase direct-to-chip and immersion cooling solutions, along with distribution units and control systems for AI data centers.

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