High Voltage Capacitors Market to Witness Strong Growth with a Projected Value of USD 47.1 Billion by 2035

The global High Voltage Capacitors Market is set to experience substantial expansion, with an estimated valuation of USD 21.5 billion in 2025 and projected to reach USD 47.1 billion by 2035. This growth represents a robust compound annual growth rate (CAGR) of 8.2% during the forecast period. The market's consistent growth is being driven by the increasing demand for electricity, grid modernization, and the integration of renewable energy sources into power systems.

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Market Insights

High voltage capacitors are crucial components in ensuring the stability, efficiency, and safety of electrical grids and systems. They are widely utilized in power generation, transmission, and distribution systems to regulate voltage levels, enhance energy storage, and reduce transmission losses. As the world shifts toward renewable energy, high voltage capacitors play a critical role in managing the fluctuations associated with wind and solar energy generation.

The market is expected to maintain a strong upward trajectory, supported by investments in smart grids, electrification projects, and an increasing demand for energy-efficient solutions. Governments worldwide are prioritizing the modernization of aging power infrastructure, further boosting the demand for advanced capacitor technologies.

Segment Analysis

Plastic Segment to Maintain Leadership

Among the various dielectric materials used in high voltage capacitors, the Plastic segment is forecast to dominate the market, accounting for 41.6% of the market revenue in 2025. This dominance is attributed to plastic's exceptional insulating properties, high dielectric strength, and low cost. Plastic-based capacitors, particularly those utilizing polypropylene films, are widely adopted in power transmission and industrial applications due to their efficiency, mechanical strength, and long operational life.

Despite increased competition from materials such as ceramics, plastic capacitors continue to be the preferred choice due to their cost-effectiveness and versatility. The growth of plastic-based capacitor use in power transmission and renewable energy applications will help maintain its leading position in the market.

Power Generation to Lead Application Segment

The Power Generation segment is projected to generate the highest revenue, contributing 38.2% of the total market in 2025. High voltage capacitors are essential in power plants for reactive power compensation, voltage regulation, and improving system efficiency. As countries continue to invest in renewable energy sources like solar and wind power, the demand for capacitors to stabilize grid voltage and enhance system reliability is expected to surge.

With the global energy transition accelerating, the power generation sector will remain a key driver for the high voltage capacitors market.

Regional Insights

North America to Lead Growth

North America, particularly the United States, is expected to lead the market during the forecast period. The U.S. government's substantial investments in expanding renewable energy infrastructure, coupled with its ongoing grid modernization efforts, will contribute significantly to the demand for high voltage capacitors. The integration of smart grids and rising renewable energy adoption will further support the market's growth in the region.

Asia-Pacific and Europe on Growth Path

The Asia-Pacific and Europe regions are also poised for substantial growth. In Asia, countries like China and India are investing heavily in upgrading power grids, and the increasing reliance on renewable energy sources will boost demand for high voltage capacitors. Similarly, European countries are prioritizing energy efficiency and sustainability, resulting in a rise in capacitor adoption in power generation and transmission systems.

TVS Motor Sets Up Global Design & Engineering Hub in Italy with Acquisition of Engines Engineering SpA

TVS Motor Company, a leading international manufacturer of two- and three-wheelers, has announced the creation of a Global Centre of Excellence (CoE) for Design and Engineering in Bologna, Italy. This strategic move is supported by the company’s complete acquisition of Engines Engineering SpA, a renowned Italian automotive design firm recognized for its expertise in advanced prototyping, innovation in high-performance motorcycles, and MotoGP racing experience.

The new CoE strengthens TVS Motor’s vision to develop premium, future-focused mobility solutions worldwide. It will function as an end-to-end innovation hub, combining Engines Engineering’s technical strengths with TVS Motor’s global R&D network. By bringing together diverse teams and tapping into global talent, the CoE aims to accelerate product development, enhance differentiation, and solidify the company’s leadership in technology. The initiative also extends support to Norton Motorcycles, TVS Motor’s iconic British brand, enabling it to advance the design and performance of modern luxury motorcycles.

Sudarshan Venu, Chairman of TVS Motor Company, commented “The launch of our Italian Centre of Excellence marks a major step in reimagining the future of mobility. By blending Engines Engineering’s creativity and racing heritage with our design and engineering capabilities, we will deliver premium, connected, and electric vehicles that raise global standards. This centre also strengthens Norton’s ability to build exceptional motorcycles that honor its legacy while pursuing ambitious growth.”

The Center of Excellence (CoE) is committed to driving innovation through three key focus areas. Its Design & Engineering Leadership initiatives aim to strengthen simulation, prototyping, and modular platform development, ensuring superior performance, reliability, and faster time-to-market. By investing in cutting-edge tools and methodologies, the CoE is setting new benchmarks in engineering excellence.

Next-Gen Mobility is another core focus, with the CoE leveraging AI-driven design, advanced materials, and digital technologies to create connected, sustainable, and user-friendly vehicles. Additionally, it prioritizes Global Talent & Partnerships by attracting top professionals and collaborating with universities, startups, and technology leaders to accelerate innovation and shape the future of mobility.

This initiative will shorten development cycles, improve design flexibility, and broaden TVS Motor’s premium portfolio—from high-capacity motorcycles and advanced scooters to new electric platforms. It also reinforces Norton’s ambition to strengthen its presence in the luxury motorcycle segment.

Physicists Find a New Way Around Quantum Limits

Foundational research is paving the way for next-generation quantum sensors.

Physicists in Australia and the United Kingdom have found a way to reshape quantum uncertainty, offering a new method that bypasses the limits set by the well-known Heisenberg uncertainty principle. Their discovery could lay the groundwork for next-generation sensors with extraordinary precision, with potential uses in navigation, medical imaging, and astronomy.

The Heisenberg uncertainty principle, first introduced in 1927, states that it is impossible to know certain pairs of properties, such as a particle’s position and momentum, with unlimited accuracy at the same time. In practice, this means that increasing precision in one property inevitably reduces certainty in the other.

In a study published in Science Advances, researchers led by Dr. Tingrei Tan of the University of Sydney Nano Institute and School of Physics demonstrated how to design an alternative trade-off, one that allows position and momentum to be measured simultaneously with exceptional accuracy.

“Think of uncertainty like air in a balloon,” said Dr. Tan, a Sydney Horizon Fellow in the Faculty of Science. “You can’t remove it without popping the balloon, but you can squeeze it around to shift it. That’s effectively what we’ve done. We push the unavoidable quantum uncertainty to places we don’t care about (big, coarse jumps in position and momentum) so the fine details we do care about can be measured more precisely.”

As U.S. automakers invest heavily in plant modernization and digital transformation, a powerful yet often overlooked enabler is emerging at the center of smart manufacturing: data center infrastructure.

Modern automotive production lines are no longer just mechanical. They are increasingly software-driven, sensor-enabled and data-intensive. From robotics and machine vision to AI-enabled quality checks, today's factory floor is generating staggering volumes of data, in some cases up to 5 petabytes (equivalent to 5 million gigabytes) per week. Processing this data quickly and reliably is critical. The difference between milliseconds and minutes in data latency can determine whether operations continue smoothly or grind to a halt due to downtime or production delays.

At the same time, manufacturers are introducing new technologies ranging from smart factories to digital health initiatives to video analytics, all of which require a different type of computing support. Customers and employees alike now expect real-time, on-demand and personalized experiences. They do not tolerate delays or downtime. This creates a dual challenge, and businesses are relying on edge technology to reduce latency, support interactive experiences such as artificial intelligence and virtual reality, protect data stored in remote locations and better monitor sites that lack on-site IT resources.

When we look at what is happening in the market, several pain points are driving businesses toward edge adoption: the need for ultra-low latency, autonomy, privacy and security, adequate bandwidth and interactivity.

This is where micro data centers are playing a transformative role in reshaping automotive manufacturing environments.

Bringing compute power to the factory floor

Traditional data centers, often located hundreds of miles away, are not built to meet the real-time data processing demands of smart manufacturing. The latency involved in transmitting data to remote facilities for processing can be too slow for high-speed industrial operations. Especially in environments with robotics or automated quality assurance, any delay can lead to inefficiencies, safety issues or quality defects.

Micro data centers offer a solution. These compact, self-contained systems integrate compute, storage, networking and cooling capabilities into a single enclosure. They can be deployed directly on or near the production line, providing the high-speed, low-latency data processing that modern factories require. Unlike the custom-built server rooms of the past, today’s micro data centers are modular, scalable and designed for fast deployment with minimal disruption.

Scalable strategy produces high-quality black phosphorus nanoribbons for electronics

edited by Sadie Harley, reviewed by Robert Egan
Editors' notes
3D scientific illustration of an integrated circuit based on graphene-contacted black phosphorus nanoribbon field-effect transistors. Credit: Changxin Chen Group, School of Integrated Circuits, Shanghai Jiao Tong University.

Black phosphorus nanoribbons (BPNRs), thin and narrow ribbon-like strips of black phosphorus, are known to exhibit highly advantageous electronic properties, including a tunable bandgap. This essentially means that the energy difference between the region where electrons are bound together (i.e., valence band) and that where electrons move freely (i.e., conduction band) can be easily controlled by adjusting the width of the nanoribbons.

A tunable bandgap is essential for the development of transistors, the components that control the flow of electrical current through electronic devices.

While several past studies have highlighted the promise of BPNRs for the development of electronics, strategies that could enable their reliable fabrication on a large scale are still lacking.

Researchers at Shanghai Jiao Tong University and other institutes recently introduced a new scalable strategy for the realization of high-quality BPNRs that are consistent in size, have well-defined edges and exhibit minimal defects.

Their proposed approach, outlined in a paper published in Nature Materials, relies on a technique designed to peel apart layered materials leveraging ultrasonic sound waves in liquids.

"Our research group has long been devoted to identifying ideal channel materials to enable high-performance field-effect transistors with reduced size and power consumption," Professor Changxin Chen, who led the research, told Phys.org.

"BPNRs offer advantages as channel materials over other candidates such as carbon nanotubes, graphene nanoribbons and two-dimensional (2D) black phosphorus (BP). For example, BPNRs are entirely semiconducting, unlike carbon nanotubes, which can be semiconducting or metallic.

"Additionally, BPNRs exhibit a superior trade-off between mobility and bandgap than graphene nanoribbons. BPNRs also avoid the need to prepare large-area, few-layer 2D BP, providing sizable and widely tunable bandgaps."



For some time, Chen and his colleagues have been trying to devise a scalable strategy to realize high-quality and narrow BPNRs that have smooth edges and well-defined orientations. The fabrication strategy introduced in their recent paper is based on a newly introduced sonochemical exfoliation technique.

"We first used a short-way transport reaction to synthesize bulk BP crystals with a slightly enlarged lattice parameter along the armchair direction," explained Chen.

"This stress allows the crystal to unzip preferentially along the crystal plane perpendicular to the armchair direction rather than other planes. Then, we applied suitable ultrasonic conditions to unzip bulk BP crystals, thereby yielding one-dimensional (1D) high-quality BPNRs."

With their newly devised strategy, the researchers created nanoribbons with a width centered at 32 nm that can be as narrow as 1.5 nm; the narrowest among the BPNRs reported to date. Remarkably, their fabrication method exhibited a yield of up to 95%.

Moreover, the narrow width and zigzag edges of the resulting BPNRs gave rise to a large bandgap, while their nearly atomically smooth edges suppressed carrier scattering and led to high mobility.

"We achieved high-quality, narrow BPNRs with nearly atomically smooth edges and well-defined edge orientation at high yield through the sonochemical exfoliation of the synthesized bulk BP crystals with a slightly enlarged lattice parameter along the armchair direction," said Chen.

10 stunning sea plants of the ocean floor that sustain marine life

aja California, Mexico-based tuna-ranching firm Baja Aqua Farms (BAF) has acquired Baja Marine Foods (BMF), a fishing and processing company also based in Baja California.

Founded in 1999, vertically integrated BAF conducts year-round ranching to produce fresh and frozen sashimi-grade Pacific bluefin tuna “under the most rigorous standards, sought out by top chefs and supermarket chains around the globe for its consistent quality and year-round availability.”

The firm exports to retail and foodservice customers under the Bluefiná brand, which is aiming to gain greater customer recognition around the globe.

“We have the wagyu of tuna. Let’s offer that [at steakhouses] – a wagyu steak and a wagyu tuna. We just have to get it in people’s mouths,” Rex Ito, the president and owner of Prime Time Seafood, which manages sales and logistics for Bluefiná, told SeafoodSource at this year’s Seafood Expo North America.

Founded in 2010, BMF produces fishmeal, fish oil, and frozen seafood products from sustainably sourced pelagic species sold for human consumption or as ingredients to the global aquaculture and pet food industries. BMF owns two fishing vessels and a processing plant with capacity to process up to 450 tons of products daily...

AI For Smart City Traffic Optimization Market Gaining Momentum Ahead on Innovation: IBM Corporation, Cisco Systems, Trafficware Group

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The AI for smart city traffic optimization market refers to the deployment of artificial intelligence technologies-including machine learning, computer vision, deep learning, and predictive analytics-to manage and improve urban traffic flow, reduce congestion, enhance road safety, and minimize emissions. These systems analyze real-time and historical traffic data from sensors, cameras, GPS devices, connected vehicles, and IoT infrastructure to optimize traffic signals, predict congestion, manage incidents, and support autonomous mobility solutions.

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Market Trend
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• Expansion of autonomous vehicle ecosystems requiring advanced traffic coordination.

Opportunities
• Expansion of AI-powered adaptive traffic signal control systems.
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• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, NetherlaThe Latest Study Published by HTF MI Research on the "AI For Smart City Traffic Optimization Market'' evaluates market size, trend and forecast to 2031. The AI For Smart City Traffic Optimization market study includes significant research data and evidences to be a practical resource document for managers and analysts is, industry experts and other key people to have an easily accessible and self-analysed study to help understand market trends, growth drivers, opportunities and upcoming challenges as well as information about the competitors. Some of the Major Companies covered in this Research are IBM Corporation (USA), Siemens AG (Germany), Cisco Systems, Inc. (USA), Microsoft Corporation (USA), TomTom International B.V. (Netherlands), HERE Technologies (Netherlands), Kapsch TrafficCom AG (Austria), Cubic Corporation (USA), Trafficware Group, Inc. (USA), Samsung Electronics Co., Ltd. (South Korea).

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According to HTF Market Intelligence, the Global AI For Smart City Traffic Optimization market to witness a CAGR of 7.5% during forecast period of 2025-2031. Global AI For Smart City Traffic Optimization Market Breakdown by Application (Public Transportation, Private Transportation, Logistics and Fleet Management, Parking Management, Emergency Response Management) by Type (Traffic Management Systems, Traffic Prediction and Analytics, Smart Traffic Signals, Vehicle-to-Everything (V2X) Communication, Incident Detection Systems) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA).

The AI for smart city traffic optimization market refers to the deployment of artificial intelligence technologies-including machine learning, computer vision, deep learning, and predictive analytics-to manage and improve urban traffic flow, reduce congestion, enhance road safety, and minimize emissions. These systems analyze real-time and historical traffic data from sensors, cameras, GPS devices, connected vehicles, and IoT infrastructure to optimize traffic signals, predict congestion, manage incidents, and support autonomous mobility solutions.

Market Drivers
• Rapid urbanization and population growth straining city traffic systems.
• Government initiatives for smart city development and digital infrastructure.
• Rising concerns over traffic congestion, fuel wastage, and air pollution.

Market Trend
• Use of predictive AI models for congestion forecasting and route optimization.
• Rising popularity of cloud-based and edge AI platforms for faster decision-making.
• Expansion of autonomous vehicle ecosystems requiring advanced traffic coordination.

Opportunities
• Expansion of AI-powered adaptive traffic signal control systems.
• Deployment of AI-enabled mobility-as-a-service (MaaS) platforms for urban commuters.

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Global AI For Smart City Traffic Optimization Market Breakdown by Application (Public Transportation, Private Transportation, Logistics and Fleet Management, Parking Management, Emergency Response Management) by Type (Traffic Management Systems, Traffic Prediction and Analytics, Smart Traffic Signals, Vehicle-to-Everything (V2X) Communication, Incident Detection Systems) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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According to HTF Market Intelligence, the Global AI For Smart City Traffic Optimization market to witness a CAGR of 7.5% during forecast period of 2025-2031. Global AI For Smart City Traffic Optimization Market Breakdown by Application (Public Transportation, Private Transportation, Logistics and Fleet Management, Parking Management, Emergency Response Management) by Type (Traffic Management Systems, Traffic Prediction and Analytics, Smart Traffic Signals, Vehicle-to-Everything (V2X) Communication, Incident Detection Systems) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA).

The AI for smart city traffic optimization market refers to the deployment of artificial intelligence technologies-including machine learning, computer vision, deep learning, and predictive analytics-to manage and improve urban traffic flow, reduce congestion, enhance road safety, and minimize emissions. These systems analyze real-time and historical traffic data from sensors, cameras, GPS devices, connected vehicles, and IoT infrastructure to optimize traffic signals, predict congestion, manage incidents, and support autonomous mobility solutions.

Market Drivers
• Rapid urbanization and population growth straining city traffic systems.
• Government initiatives for smart city development and digital infrastructure.
• Rising concerns over traffic congestion, fuel wastage, and air pollution.

Market Trend
• Use of predictive AI models for congestion forecasting and route optimization.
• Rising popularity of cloud-based and edge AI platforms for faster decision-making.
• Expansion of autonomous vehicle ecosystems requiring advanced traffic coordination.

Opportunities
• Expansion of AI-powered adaptive traffic signal control systems.
• Deployment of AI-enabled mobility-as-a-service (MaaS) platforms for urban commuters.

Major Highlights of the AI For Smart City Traffic Optimization Market report released by HTF MI

Global AI For Smart City Traffic Optimization Market Breakdown by Application (Public Transportation, Private Transportation, Logistics and Fleet Management, Parking Management, Emergency Response Management) by Type (Traffic Management Systems, Traffic Prediction and Analytics, Smart Traffic Signals, Vehicle-to-Everything (V2X) Communication, Incident Detection Systems) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Informational Takeaways from the Market Study: The report AI For Smart City Traffic Optimization matches the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porter's five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.

Key Development's in the Market: This segment of the AI For Smart City Traffic Optimization report fuses the major developments of the market that contains confirmations, composed endeavours, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.a

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Informational Takeaways from the Market Study: The report AI For Smart City Traffic Optimization matches the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porter's five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.

Key Development's in the Market: This segment of the AI For Smart City Traffic Optimization report fuses the major developments of the market that contains confirmations, composed endeavours, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.nds Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Informational Takeaways from the Market Study: The report AI For Smart City Traffic Optimization matches the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porter's five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.

Key Development's in the Market: This segment of the AI For Smart City Traffic Optimization report fuses the major developments of the market that contains confirmations, composed endeavours, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.

Last updated on Sep 7, 2025
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Artificial Intelligence and the Internet of Things has ushered in a realm of unprecedented opportunities, fundamentally transforming our interactions with the environment and harnessing the immense potential of data. This article explores the exciting synergy between AI and IoT, delving into what IoT is, how AI can be applied within it, the benefits of AI-enabled IoT, and providing examples of this transformative combination.
What is IoT?

Internet of Things is a network of interconnected physical devices and objects, equipped with sensors, software, and connectivity to collect and exchange data. These devices range from smart thermostats and wearable fitness trackers to industrial machinery and autonomous vehicles. IoT facilitates communication between these devices and centralized systems, enabling real-time monitoring, control, and process automation.

How Can AI be Used in IoT?

Artificial Intelligence (AI) can be harnessed in various ways within the Internet of Things (IoT) ecosystem to enhance its capabilities and make IoT applications more intelligent and efficient. Below are some key ways in which AI can be used in IoT:
Data Analytics and Predictive Insights

AI algorithms excel at analyzing large volumes of data, and IoT generates massive amounts of data from sensors and devices. AI can process this data in real-time to extract valuable insights, detect patterns, and make predictions. For example:In industrial IoT, AI can analyze sensor data from machinery to predict equipment failures, allowing for proactive maintenance.
In healthcare IoT, AI can analyze patient data from wearables to detect early signs of health issues and provide personalized recommendations.
Machine Learning for Optimization

ML models can be trained on historical IoT data to optimize various processes. For instance:In agriculture IoT, machine learning models can predict optimal planting times and irrigation schedules based on weather and soil data.
In smart buildings, AI can optimize ventilation, heating, and air conditioning systems based on occupancy patterns and external weather conditions to reduce energy consumption.
Automation and Control

AI can enable autonomous decision-making and control in IoT systems. Examples include:In autonomous vehicles, AI algorithms process data from sensors (e.g., lidar, cameras) to make real-time driving decisions.
In smart homes, AI can control devices like thermostats, lighting, and security systems based on user preferences and sensor inputs.

Bengaluru's new Quantum City: Will it put Hesaraghatta on the real estate map?

Karnataka's Quantum City project near Bengaluru aims to propel the region into the global quantum technology arena and boost Hesaraghatta’s real estate market
Updated on: Sep 9, 2025 9:26 AM IST
ByHT Real Estate News




Karnataka has announced Quantum City (Q-City), a futuristic hub for quantum research, innovation, manufacturing, and education near Bengaluru, to secure India’s place in the global quantum technology race. Developed under the ₹1,000 crore Karnataka Quantum Mission, the project aims to drive a $20 billion quantum economy by 2035 and position the state as the Quantum Capital of Asia.
Karnataka government has sanctioned 6.17 acres of land at Hesaraghatta for the development of Quantum City. (Photo for representational purposes only) (Pixabay)


The project is planned for Hesaraghatta, about 25–30 km northwest of Bengaluru and 30 km from Kempegowda International Airport. The government has allotted 6.17 acres of land to serve as its nucleus.
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Real estate experts believe the initiative could spur infrastructure growth in northwestern Bengaluru, a region that has historically lagged behind the city’s IT-driven east and south. Several projects are already emerging along Hessarghatta Main Road, an area with strong connectivity and proximity to the airport, making it an attractive location.

Experts told HT.com that initially buyers may consider plots as investment opportunities or for secondary homes in the area.

Google Expands AI-Powered Search to Five New Languages

 Google has announced the global expansion of its most advanced AI-powered search feature, AI Mode, to five additional languages: Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese. The rollout begins today, extending access to millions of users worldwide.

The company explained that building a truly global search experience involves more than direct translation. With the integration of its custom version of Gemini 2.5 in Search, Google said it has significantly improved multimodal and reasoning capabilities, enabling deeper and more contextually relevant understanding across different languages.

Through AI Mode, users can ask more complex questions in their native language and explore information online with greater depth and precision. The feature is designed to provide locally relevant responses while maintaining a consistent level of sophistication across all supported languages.

With this expansion, Google continues its push to make advanced AI tools accessible globally, strengthening its position as a leader in intelligent search solutions.

The Atlantic Meridional Overturning Circulation brings heat to the Northern Hemisphere and regulates the climate globally, but research suggests it could weaken significantly in the coming decades.

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Ocean currents that make up the Atlantic Meridional Overturning Circulation could start to collapse in just three decades. (Image credit: NASA/Goddard Space Flight Center Scientific Visualization Studio)



Atlantic ocean currents that respond to climate change are hurtling toward a tipping point that could cause severe impacts before the end of this century, a new study finds.



The currents are those that form the Atlantic Meridional Overturning Circulation (AMOC), which loops around the Atlantic Ocean like a giant conveyor belt, bringing heat to the Northern Hemisphere before traveling south again along the seabed. Depending on how much carbon humans emit in the next few decades, the AMOC could reach a tipping point and start to collapse as early as 2055, with dramatic consequences for several regions, researchers found.


This scary prediction, based on a scenario where carbon emissions double between now and 2050, is considered unlikely — but the outcome of a much more likely scenario where emissions hover around current levels for the next 25 years isn't much better, according to the study. Even if we keep global warming this century to 4.8 degrees Fahrenheit (2.7 degrees Celsius) above preindustrial levels — a "middle of the road" scenario, according to the latest U.N. climate report — the AMOC will start to collapse in 2063, the results suggest.