Capacity development

Samsung brings AI-powered service tool to India

Samsung, already the leading home appliance brand in India by volume, is now enhancing its after-sales service with an AI-powered support tool.

The tech company from South Korea has introduced the Home Appliances Remote Management (HRM) tool, designed to improve service speed, accuracy, and overall customer experience instead of sticking with traditional support methods.

The HRM tool allows customer care teams to remotely diagnose and resolve issues in Samsung smart appliances connected via SmartThings. If a problem can be fixed remotely, staff will ask for the user’s consent before taking control of the device.

If the issue can be solved by the customer, step-by-step instructions are provided instead of sending a technician straight away.

When neither of these options applies, the issue is forwarded directly to service technicians with full diagnostics already completed, cutting down the time spent on-site.

The new system reduces the need for in-home visits, shortens waiting times, and increases the uptime of appliances instead of leaving users waiting unnecessarily.

SmartThings also plays a proactive role by automatically detecting issues and offering solutions before customers even need to call.

Samsung India’s Vice President for Customer Satisfaction, Sunil Cutinha, noted that the tool significantly streamlines service, boosts maintenance efficiency, and helps ensure timely product support for users across the country.

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Nvidia brings AI supercomputer production to the US

Nvidia is shifting its AI supercomputer manufacturing operations to the United States for the first time, instead of relying on a globally dispersed supply chain.

In partnership with industry giants such as TSMC, Foxconn, and Wistron, the company is establishing large-scale facilities to produce its advanced Blackwell chips in Arizona and complete supercomputers in Texas. Production is expected to reach full scale within 12 to 15 months.

Over a million square feet of manufacturing space has been commissioned, with key roles also played by packaging and testing firms Amkor and SPIL.

The move reflects Nvidia’s ambition to create up to half a trillion dollars in AI infrastructure within the next four years, while boosting supply chain resilience and growing its US-based operations instead of expanding solely abroad.

These AI supercomputers are designed to power new, highly specialised data centres known as ‘AI factories,’ capable of handling vast AI workloads.

Nvidia’s investment is expected to support the construction of dozens of such facilities, generating hundreds of thousands of jobs and securing long-term economic value.

To enhance efficiency, Nvidia will apply its own AI, robotics, and simulation tools across these projects, using Omniverse to model factory operations virtually and Isaac GR00T to develop robots that automate production.

According to CEO Jensen Huang, bringing manufacturing home strengthens supply chains and better positions the company to meet the surging global demand for AI computing power.

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Zhipu AI launches free agent to rival DeepSeek

Chinese AI startup Zhipu AI has introduced a free AI agent, AutoGLM Rumination, aimed at assisting users with tasks such as web browsing, travel planning, and drafting research reports.

The product was unveiled by CEO Zhang Peng at an event in Beijing, where he highlighted the agent’s use of the company’s proprietary models—GLM-Z1-Air for reasoning and GLM-4-Air-0414 as the foundation.

According to Zhipu, the new GLM-Z1-Air model outperforms DeepSeek’s R1 in both speed and resource efficiency. The launch reflects growing momentum in China’s AI sector, where companies are increasingly focusing on cost-effective solutions to meet rising demand.

AutoGLM Rumination stands out in a competitive landscape by being freely accessible through Zhipu’s official website and mobile app, unlike rival offerings such as Manus’ subscription-only AI agent. The company positions this move as part of a broader strategy to expand access and adoption.

Founded in 2019 as a spinoff from Tsinghua University, Zhipu has developed the GLM model series and claims its GLM4 has surpassed OpenAI’s GPT-4 on several evaluation benchmarks.

In March, Zhipu secured major government-backed investment, including a 300 million yuan (US$41.5 million) contribution from Chengdu.

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TheStage AI makes neural network optimisation easy

In a move set to ease one of the most stubborn hurdles in AI development, Delaware-based startup TheStage AI has secured $4.5 million to launch its Automatic NNs Analyzer (ANNA).

Instead of requiring months of manual fine-tuning, ANNA allows developers to optimise AI models in hours, cutting deployment costs by up to five times. The technology is designed to simplify a process that has remained inaccessible to all but the largest tech firms, often limited by expensive GPU infrastructure.

TheStage AI’s system automatically compresses and refines models using techniques like quantisation and pruning, adapting them to various hardware environments without locking users into proprietary platforms.

Instead of focusing on cloud-based deployment, their models, called ‘Elastic models’, can run anywhere from smartphones to on-premise GPUs. This gives startups and enterprises a cost-effective way to adjust quality and speed with a simple interface, akin to choosing video resolution on streaming platforms.

Backed by notable investors including Mehreen Malik and Atlantic Labs, and already used by companies like Recraft.ai, the startup addresses a growing need as demand shifts from AI training to real-time inference.

Unlike competitors acquired by larger corporations and tied to specific ecosystems, TheStage AI takes a dual-market approach, helping both app developers and AI researchers. Their strategy supports scale without complexity, effectively making AI optimisation available to teams of any size.

Founded by a group of PhD holders with experience at Huawei, the team combines deep academic roots with practical industry application.

By offering a tool that streamlines deployment instead of complicating it, TheStage AI hopes to enable broader use of generative AI technologies in sectors where performance and cost have long been limiting factors.

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Nvidia expands AI chip production in the US amid political pressure and global shifts

Nvidia is significantly ramping up its presence in the United States by commissioning over a million square feet of manufacturing space in Arizona and Texas to build and test its powerful AI chips. The tech giant has begun producing its Blackwell chips at TSMC facilities in Phoenix and is developing large-scale ‘supercomputer’ manufacturing plants in partnership with Foxconn in Houston and Wistron in Dallas.

The company projects mass production to begin within the next 12 to 15 months, with ambitions to manufacture up to half a trillion dollars’ worth of AI infrastructure in the US over the next four years. CEO Jensen Huang emphasised that this move marks the first time the core components of global AI infrastructure are being built domestically.

He cited growing global demand, supply chain resilience, and national security as key reasons for the shift. Nvidia’s decision follows an agreement with the Trump administration that helped the company avoid export restrictions on its H20 chip, a top-tier processor still eligible for export to China.

Nvidia joins a broader wave of AI industry leaders aligning with the Trump administration’s ‘America-first’ strategy. Companies like OpenAI and Microsoft have pledged massive investments in US-based AI infrastructure, hoping to secure political goodwill and avoid regulatory hurdles.

Trump has also reportedly pressured key suppliers like TSMC to expand American operations, threatening tariffs as high as 100% if they fail to comply. Despite the enthusiasm, Nvidia’s expansion faces headwinds.

A shortage of skilled workers and potential retaliation from China—particularly over raw material access—pose serious risks. Meanwhile, Trump’s recent moves to undermine the Chips Act, which provides critical funding for domestic chipmaking, have raised concerns about the long-term viability of US semiconductor investment.

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New AI tool helps spot cataracts in babies

A groundbreaking medical device designed to detect cataracts in newborns is being enhanced with the help of AI. The Neocam, a handheld digital imaging tool created by Addenbrooke’s eye surgeon, Dr Louise Allen, allows midwives to take photos of a baby’s eyes to spot congenital cataracts — the leading cause of preventable childhood blindness.

A new AI feature under development will instantly assess whether a photo is clear enough for diagnosis, streamlining the process and reducing the need for retakes. The improvements are being developed by Cambridgeshire-based consultancy 42 Technology (42T), whose software engineers train a machine-learning model using a vast dataset of 46,000 anonymised images.

The AI project is backed by an innovation grant from Addenbrooke’s Charitable Trust (ACT) to make Neocam more accurate and accessible, especially in areas with limited specialist care. Neocam is currently being trialled in maternity units across the UK as part of a large-scale study called DIvO, where over 140,000 babies will have their eyes screened using both traditional methods and the new device.

Although the final results are not expected until 2027, early findings suggest Neocam has already identified rare visual conditions that would have otherwise gone undetected. Dr Allen emphasised the importance of collaboration and public support for the project, saying that the AI-enhanced Neocam could make early detection of eye conditions more reliable worldwide.

Why does it matter?

With growing support from institutions like the National Institute for Health and Care Research and ACT, this innovation could significantly improve childhood eye care across both urban and remote settings.

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ChatGPT gets infinite memory upgrade

OpenAI is introducing a major upgrade to ChatGPT’s memory capabilities, allowing the AI to retain all previous conversations indefinitely. CEO Sam Altman described the development as a step toward making ChatGPT a more personalised assistant that better adapts to users over time.

Previous versions of the AI could only remember chats from the past few weeks, which helped with ongoing projects and stylistic consistency.

The new update goes much further, enabling ChatGPT to recall details from all prior conversations and use them to offer more tailored support, such as giving lifestyle advice or acting as a personal coach.

The feature will initially roll out to ChatGPT Plus and Pro subscribers, with broader availability likely in the future. However, the move has sparked some concerns around privacy, as the AI’s enhanced recall could allow anyone with account access to uncover personal details with a simple prompt.

Users may wish to take precautions, such as setting up custom instructions to limit the disclosure of sensitive information.

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AI transforms global healthcare with major growth ahead

The healthcare sector is poised for significant growth as AI continues to revolutionise the industry. A new report from Avant Technologies predicts an influx of AI-powered solutions in healthcare, with key technology giants leading the charge.

Avant Technologies and Ainnova, in their joint venture, plan to showcase their AI-powered Vision AI platform at the 2025 Mexico Healthcare Innovation Summit.

The platform, aimed at early disease detection, is nearing approval from the US Food and Drug Administration (FDA) and is already in clinical trials in Southeast Asia and South America.

Apple and Amazon are also entering the AI healthcare space, with Apple launching an AI-powered health coach to guide users on diet and exercise, while Amazon is expanding its AI solutions with a healthcare chatbot.

Meanwhile, GE Healthcare has seen success with its AI-driven cardiac imaging, which has garnered FDA approval. The World Health Organization (WHO) supports AI integration in healthcare, particularly for outpatient care and early diagnosis, though it has urged regulators to be cautious of potential risks.

AI in healthcare is expected to grow exponentially, reaching a market valuation of $613 billion by 2034. The sector’s rapid expansion is driven by increasing adoption rates, particularly for early disease detection, administrative efficiency, and personalised medicine.

Despite data privacy concerns, the adoption of AI tools in fields like dermatology, oncology, and cardiovascular health is expected to surge. North America is predicted to lead the market, followed by Europe and South Asia, as more healthcare institutions embrace AI technologies.

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Lenovo unveils compact edge AI server

Lenovo has introduced the ThinkEdge SE100, a compact AI inferencing server aimed at bringing edge AI within reach for businesses of all sizes.

Rather than relying on large data centres for processing, this server is designed to operate on-site in space-constrained environments, allowing data to be processed locally instead of being sent to the cloud.

The SE100 supports hybrid cloud deployments and is part of Lenovo’s new ThinkSystem V4 family. While the V4 systems are built for AI training, the SE100 is intended for inferencing, which is less demanding and doesn’t require power-hungry GPUs.

Lenovo says the unit is 85% smaller than a typical 1U server and draws under 140W, even with GPU configurations.

Engineered to be both energy-efficient and quiet, the SE100 uses Neptune liquid cooling instead of traditional fans, making it suitable for public spaces. Its design also helps extend system health and lifespan by reducing air flow needs and lowering operating temperatures.

Lenovo’s vice president of infrastructure products, Scott Tease, stated the SE100 is a cost-effective solution that simplifies AI deployment at the edge.

Its flexible design adapts to diverse business needs, offering low-latency, high-performance inferencing without the complexity or expense of full-scale AI infrastructure.

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ICT policy reform planned to boost digital economy in Bangladesh

Bangladesh is set to overhaul key ICT and telecom policies by June to eliminate major barriers to digital growth, according to Faiz Ahmad Taiyeb, Special Assistant to the Chief Adviser for Posts, Telecommunications and ICT.

He shared the plan at the Bangladesh Investment Summit 2025, highlighting that modern laws and a supportive business environment will pave the way for stronger digital investments.

Taiyeb noted that for over 15 years, fragmented digital initiatives have led to isolated systems with little integration or interoperability.

However, this lack of coordination has weakened citizen services and digital payments, and the government now aims to fix these issues as a top priority. The goal is to empower the country’s vast youth population through technology.

Several major reforms are currently in progress. The Cyber Security Ordinance, set to be finalised by the end of April, will introduce new transparency measures by requiring the government to disclose information about online content restrictions, giving citizens the right to legally challenge them.

Changes to the telecom licensing framework and network infrastructure are also moving forward.

At the summit’s digital growth panel, international experts called for easier cross-border e-commerce and fewer restrictions on digital transactions.

Bangladesh Bank plans to introduce full interoperability in digital payments by next year, and Grameenphone’s CEO highlighted how mobile connectivity continues to drive economic transformation.

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