News related to
software

The Tokyo-based maker of NAND flash memory and solid-state drives has become one of the most closely watched stocks on the Tokyo Stock Exchange after a sharp rally tied to demand for data-centre storage, AI servers and high-performance memory systems. Its market capitalisation has climbed into the tens of trillions of yen, placing it near Toyota and behind SoftBank Group in a reshuffled ranking that would have seemed unlikely when Kioxia priced its initial public offering at 1,455 yen a share in December 2024.

The shift marks a wider challenge to the long-standing dominance of Japan’s manufacturing champions. Toyota, the global carmaker that symbolised the strength of Japan Inc. for decades, has been displaced from the top position by SoftBank during the latest AI-led surge, while Kioxia has risen rapidly from a former Toshiba memory unit backed by Bain Capital into a central player in the market’s technology rotation.

Kioxia’s climb reflects investor expectations that memory will remain a bottleneck in AI infrastructure. Generative AI systems require vast amounts of storage and high-speed data movement, pushing demand beyond the older cycle driven mainly by smartphones and personal computers. Data-centre operators, cloud companies and chip designers are competing for components needed to train and run large AI models, giving memory producers stronger pricing power after years of volatility.

The company’s earnings have strengthened sharply. Kioxia has projected operating profit of about 1.3 trillion yen for the April-June quarter, a figure that puts it among the most profitable listed companies in Japan. Its latest annual results showed strong momentum in revenue, margins and cash generation, helping ease earlier concerns about debt and cyclicality. Rating upgrades to investment grade have added to the perception that the balance sheet is improving at a time when investors are rewarding semiconductor exposure.

Kioxia’s origins give its rise broader industrial significance. The company traces its roots to Toshiba’s memory business, which was sold to a Bain-led consortium in 2018 after Toshiba’s financial crisis. The group was renamed Kioxia in 2019, drawing on the Japanese word for memory and the Greek word for value. Its public listing in 2024 valued it below 800 billion yen, after earlier IPO attempts were delayed by weak valuation conditions and pressure in the memory market.

That cautious debut contrasts sharply with its current status. Shares have multiplied as investors reassessed the role of NAND flash in AI systems, especially as large-scale data centres require higher storage density, faster access and more energy-efficient hardware. Kioxia has also been developing advanced BiCS FLASH technology and promoting next-generation SSDs for AI storage infrastructure.

The rally has also lifted questions over valuation risk. Memory chips remain one of the semiconductor industry’s most cyclical segments, with prices exposed to shifts in capital spending, inventory levels and customer demand. A sharp rise in market value leaves Kioxia vulnerable if hyperscaler investment slows, if competitors add capacity faster than expected, or if customers push back against higher pricing.

Competition is intense. Samsung Electronics, SK Hynix, Micron Technology and SanDisk remain key players across memory markets, with SK Hynix holding a dominant position in high-bandwidth memory used in AI accelerators. Kioxia’s strength is more closely tied to NAND flash and SSDs, where demand from AI infrastructure has broadened the market but does not eliminate the risk of oversupply once new capacity comes on stream.

Toyota’s relative decline in the rankings does not point to operational weakness alone. The carmaker remains one of the world’s largest manufacturers by sales and a major profit generator, but investors have been rotating away from traditional industrial leaders towards companies with direct AI exposure. Concerns over electric-vehicle competition, currency movements and the cost of future technologies have weighed on auto valuations, even as Toyota continues to command global scale in hybrid vehicles and supply-chain management.

SoftBank’s ascent has further highlighted the changing market narrative. Its exposure to Arm and AI-related investments has drawn investors seeking Japan-based access to global AI infrastructure. Together, SoftBank and Kioxia now represent a market story centred on chips, data centres, software platforms and computing capacity rather than the export-led industrial model that long defined Japan’s equity market.

Foreign investor flows have amplified the shift. Japan’s equity market has benefited from corporate-governance reforms, stronger capital returns and renewed interest in companies linked to the AI supply chain. The Nikkei 225 has reached record territory, though the rally has been uneven, with gains concentrated in a limited group of technology-linked names while broader market performance has been more mixed.

Kioxia’s next test will be whether it can convert favourable pricing and sold-out capacity into durable earnings. Investors will look for clearer shareholder-return plans, disciplined capital expenditure and evidence that AI storage demand can remain strong beyond the current investment wave. The company’s contemplated US share listing would widen access to global technology investors and could further raise its profile if market conditions remain supportive.

Born From Personal Experience

Handshake Finance launched in September 2025, founded by Christopher Chan and Lee Jun Xian. Both had seen the trust gap up close.

Jun’s close friend lost S$80,000 in pre-payments to a renovation company that collapsed mid-project. At the same time, Christopher’s friend paid a deposit on a rental home she had never viewed, only to discover the listing was fraudulent. Both incidents pointed to the same structural failure: in service industries, someone always carries the risk, and when trust breaks down, there is little recourse on either side.

The two founders met as university classmates in London and returned to the problem with complementary backgrounds. Christopher Chan had spent his career in fintech, designing compliant payment flows on regulated infrastructure. Lee Jun Xian came from venture capital, with experience scaling early-stage companies from zero to one.

Trust as the foundation, not the feature

Handshake operates on bank-grade payment infrastructure provided by MAS-regulated partners. All payment flows are fully MAS regulated, and funds are held with DBS in segregated escrow accounts. For the founders, this is not a checkbox — it is the entire foundation of the business.

“We are trying to solve a structural trust gap in service industries. But before any of that, our users have to trust us,” said Christopher Chan, Co-Founder of Handshake Finance. “Making sure every fund flow is fully compliant, and that our users feel completely assured handing us money in what are often life-changing transactions, is our number one priority. Everything else is built on top of that.”

Closing the Trust Gap Across Service Industries

Every high-trust service transaction carries the same structural flaw: either the customer pays before work is done, or the provider works before getting paid. Someone always carries the risk. Across industries — from renovation and interior design to event planning, creative agencies, and professional services — that risk falls entirely on one side, and when trust breaks down, there is little recourse for either party.

Handshake Finance was built to close that gap. The platform holds customer funds in escrow and releases them to service providers against agreed milestones, giving buyers protection from pre-payment risk while giving service providers the confidence to deliver. The model is designed to work across any service industry where the payment trust problem exists.

Why Renovation and Interior Design Is Handshake’s Beachhead Market

Renovation was where the structural failure ran deepest. The industry operates with no mandatory licensing or regulatory framework. Anyone can set up as an interior designer with no accreditation required, leaving homeowners with no reliable way to assess accountability before signing a contract.

There is no standard payment framework either. Homeowners routinely pay up to 50% of the total project value upfront, with funds going directly to the interior designer before any work begins. If a project stalls or a firm shuts down, there is limited protection and recourse. At the other end of the project, interior designers face the opposite problem: the final handover payment, where homeowners hold most of the leverage, can be withheld over disputes that wipe out up to half a project’s margin.

Eight Months of Listening Before a Single Line of Code

Before writing any software, the Handshake team spent eight months speaking with more than 80 interior designers and homeowners across Singapore to understand the real frictions on both sides of the transaction. What they found reinforced the decision to start here: high transaction values, a broken payment norm, an unregulated supply side, and no existing platform that protected both parties.

That research shaped how the product was built. After a renovation contract is signed, Handshake’s AI automatically generates the transaction structure with line items, payment schedules, and sub-milestones set out clearly to remove ambiguity. Homeowners place funds into escrow rather than paying upfront directly to the interior designer.

Payment releases to the designer as work progresses against agreed milestones, with sub-milestone releases providing faster cashflow access without compromising homeowner protection. The platform also replaces the manual spreadsheet-based back-office admin most interior design firms still run, and offers complimentary mediation and independent assessments in the event of a dispute.

More than 40 Interior Design Companies Onboarded and 2 Major Partnerships Signed

Handshake now has more than 40 interior design companies onboarded. The company has signed partnerships with Renonation.sg and Network SG, two of Singapore’s most established renovation marketplaces, to drive awareness and adoption across the broader ecosystem.

“It is an incredible feeling to see this much support behind us, and we are excited about what is ahead,” said Lee Jun Xian, Co-Founder of Handshake Finance. “We are industry-agnostic by design, but we are laser-focused on fixing renovation first. The scams that are still everyday occurrences in this space need to go, and the transactional experience for everyone involved needs to be better before we turn our attention to the next industry or market.”

Homeowners and interior designers can learn more or request access at handshake.finance.

Hashtag: #HandshakeFinance

The issuer is solely responsible for the content of this announcement.

About Handshake Finance

Handshake Finance is a Singapore-based fintech building escrow-as-a-service infrastructure for high-trust service industries. The platform holds customer funds in segregated escrow accounts and releases them against agreed milestones, protecting buyers from pre-payment risk while giving service providers the confidence to deliver. All payment flows are fully MAS regulated. Funds are held with DBS. Handshake is currently focused on Singapore’s renovation and interior design market as its beachhead, with plans to expand across other service industries and Southeast Asia.

The shift reflects a sharp change in investor preference after months of underperformance by Hong Kong equities against mainland peers. Mainland investors sold about HK$3.6 billion of Hong Kong shares through the trading links last month, the first monthly net outflow since June 2023 and one of only a small number of monthly selling episodes since the southbound channel became a key route for mainland money into the city’s market.

The move is striking because southbound buying has been one of the strongest supports for Hong Kong stocks over the past year. Mainland funds poured into high-dividend banks, telecoms groups, energy companies and internet platforms during earlier phases of the rally, helping offset caution among global investors. That support is now weakening as domestic funds chase companies tied to AI infrastructure, chips, optical modules, software and computing power.

Onshore AI shares have delivered a stronger performance than Hong Kong’s technology benchmarks this year. The CSI Artificial Intelligence Index has risen sharply, while the Hang Seng Tech Index has lagged, weighed down by concerns over platform margins, heavy spending on AI models and pressure from subsidy battles in e-commerce and online services. The divergence has encouraged active money managers and retail traders to reassess whether Hong Kong-listed internet giants still offer the most attractive exposure to China’s technology story.

The change in flows also comes as Beijing’s industrial policy continues to favour advanced manufacturing, domestic semiconductors, large language models and high-end computing. Companies linked to AI servers, data centres, optical communications, robotics and chip design have become favoured market proxies for China’s effort to reduce dependence on foreign technology. That policy backdrop has helped support valuations even as questions persist over earnings visibility, capital expenditure demands and competition.

Cambricon Technologies, Zhongji Innolight, Kingsoft Office, iFlytek and other mainland-listed technology names have been among the companies watched closely by investors seeking domestic AI exposure. Hong Kong still hosts major technology groups such as Tencent, Alibaba, Baidu, Meituan and Xiaomi, but the market’s heavyweight structure makes it more exposed to mature platform businesses than to the faster-growing AI hardware and infrastructure supply chain favoured by onshore traders.

Hong Kong’s role as a fundraising centre remains intact despite the outflow. The city has continued to attract listings from technology, healthcare, robotics and semiconductor-related companies, while mainland firms still view it as the most practical offshore venue for raising international capital. Several AI and chip-linked companies are preparing or considering Hong Kong share sales, suggesting the city remains central to China’s capital market architecture even as secondary-market money rotates elsewhere.

The weakness in southbound appetite also reflects broader caution over Hong Kong valuations after a strong earlier advance. Investors who bought the market for dividends and policy support are locking in gains while seeking higher-beta opportunities at home. The shift does not necessarily point to a structural rejection of Hong Kong stocks, but it does show that mainland money is becoming more selective after helping drive earlier momentum.

Regulatory pressure on offshore investment channels may also be influencing behaviour. Authorities have tightened scrutiny of unauthorised cross-border trading accounts and offshore brokerage activity, reinforcing the appeal of regulated domestic routes. While Stock Connect remains an approved mechanism, wider efforts to keep capital within supervised channels have added another layer of sensitivity around outbound allocations.

Market analysts say the key question is whether the AI-led onshore rally can broaden beyond a narrow group of highly valued companies. China’s AI supply chain is benefiting from state support, falling model costs and growing enterprise adoption, but investors face risks from crowded positioning, uneven profitability and rapid technological shifts. Several AI-linked companies still trade more on expectations than on proven earnings, leaving the sector vulnerable to volatility if sentiment turns.

By T N Ashok The dust may have settled on the 2026 West Bengal Assembly election, but the political war has only intensified. Defeated former Chief Minister Mamata Banerjee has launched perhaps the most serious challenge yet to the legitimacy of the Bharatiya Janata Party’s sweeping victory, alleging that the saffron party manipulated electoral rolls, […]

The article Poll Results Were Out In Bengal A Month Ago, But Political Violence Is Still Continuing appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

The Provisions on the Protection of Trade Secrets, issued by the State Administration for Market Regulation under Order No. 126, came into force on 1 June 2026 and replace rules first introduced in 1995. The overhaul gives regulators clearer authority to handle disputes involving digital assets that now sit at the centre of corporate value, from AI model architecture and training datasets to platform recommendation systems, software code and commercially valuable operational data.

The change marks a significant shift in China’s treatment of intangible technology assets. Earlier rules were drafted before cloud computing, AI systems and large-scale data operations became central to business competition. The new framework defines trade secrets as technical or business information that is not publicly known, has commercial value and has been subject to confidentiality measures by the rights holder. Technical information now expressly covers data, algorithms, computer programs and code, while business information can include management, sales, finance, planning, customer and operational data.

The timing gives the regulation wider strategic weight. China and the United States are locked in a prolonged technology rivalry involving semiconductor controls, restrictions on advanced computing hardware, limits on investment in sensitive sectors and scrutiny of cross-border technology transfers. Washington has tightened export controls on high-end chips and chipmaking equipment, while Beijing has expanded its own legal toolkit to protect critical technology, secure data flows and prevent overseas transfer of capabilities it regards as strategically important.

The new rules do not create a separate trade secret law, but provide more detailed administrative guidance under China’s Anti-Unfair Competition Law. They clarify how regulators should assess whether information is secret, whether it has commercial value, what counts as reasonable confidentiality measures and how infringement should be investigated. For companies, the central message is that protection will depend not only on the value of the information, but also on whether internal controls, access limits, confidentiality agreements, digital safeguards and evidence trails are in place.

The provisions also recognise that unsuccessful research can have commercial value. Stage-by-stage technical results, failed experimental data and development paths that save time or cost in future research may qualify for protection if they meet the legal conditions. That is especially relevant for AI labs, pharmaceutical developers, electric vehicle makers, chip design firms and advanced manufacturing groups, where failed trials can reveal important technical boundaries and prevent competitors from repeating expensive mistakes.

Regulators have been given practical enforcement tools, including powers to inspect business premises, question individuals, copy documents, examine electronic records and take action against materials linked to suspected infringement. Penalties can include orders to stop unlawful conduct, confiscation of illegal gains and fines that may reach CNY5 million in serious cases. The framework also covers improper acquisition, disclosure, use or permission to use trade secrets obtained through theft, bribery, fraud, coercion, electronic intrusion or breach of confidentiality obligations.

For multinational companies operating in China, the new rules create a mixed picture. Stronger protection could help firms defend proprietary data, software systems and industrial processes in a market where trade secret disputes have often been difficult to pursue. At the same time, wider protection for data and algorithms may increase compliance complexity, particularly in joint ventures, outsourced research, cloud services, employee mobility, cross-border collaboration and licensing arrangements.

Technology companies are likely to face tougher expectations over documentation. Firms seeking protection will need to show that the information was not easily accessible, carried economic value and was actively protected. Generic claims that an algorithm or dataset is confidential may not be enough. Companies will be expected to classify sensitive assets, restrict access by role, track downloads and transfers, maintain logs, use encryption or watermarking where appropriate, and ensure that employment and partnership contracts define confidentiality obligations with precision.

The rules also sit alongside China’s broader data and security regime, including laws on data security, personal information protection, cybersecurity and export control. That overlap could make enforcement more powerful but also more complicated. A dataset may be a trade secret, a regulated data asset and a cross-border transfer concern at the same time. Businesses handling AI training material, user behaviour data or industrial performance data will need to assess those obligations together rather than treating trade secret protection as a standalone issue.

At the center of VinDynamics’ showcases is Dyno, an intelligent humanoid robot designed to serve as a versatile assistant for modern living environments. Equipped with an advanced AI platform and a highly responsive environmental sensing system, Dyno is optimized for security and surveillance applications across urban areas, campuses, and integrated service complexes. The robot is also being developed as a household assistant capable of supporting a wide range of everyday tasks through its flexible arm span and dexterous object manipulation capabilities.

A key highlight at both ICRA 2026 and Computex 2026 is Dyno’s live demonstration as a robotic guide. The humanoid robot was previously piloted at Vinpearl Safari Phu Quoc, one of Vietnam’s largest semi-wildlife conservation parks. Operating in a demanding outdoor environment, Dyno demonstrated natural communication abilities, multilingual narration, and flexible responses to visitors’ questions, delivering a distinctive and engaging guest experience.

The pilot program at Vinpearl Safari showcased Dyno’s adaptability in real-world service scenarios and highlighted the potential of humanoid robots across tourism, hospitality, and customer service applications. Its ability to operate reliably in real-world environments, handle dynamic situations, and interact directly with people represents an important step toward future commercial deployment of humanoid robotics.

At both events, VinDynamics is also presenting a comprehensive robotics technology ecosystem developed by its team of Vietnamese engineers. In addition to the fully-integrated Dyno humanoid robot, the company is showcasing two high-value core components: a specialized actuator system and a robotic hand with internationally-benchmarked dexterity. VinDynamics is also introducing a dedicated AI training dataset optimized for real-world application scenarios.

Mastering the entire humanoid robotics value chain, from hardware to software and from mechanical design to artificial intelligence, stands as clear evidence of the research and development capabilities of Vietnamese engineers. VinDynamics’ efforts also provide a strong foundation for its global expansion strategy and long-term technology partnerships with leading technology corporations, research institutions, and international enterprises in robotics and AI. These initiatives will gradually position humanoid robotics developed by Vietnamese engineers more deeply within the global technology value chain.

Mr. La Manh Hung, Chairman of VinDynamics, said: “The introduction of Dyno at ICRA 2026 and Computex 2026 is not only an important milestone for VinDynamics but also reflects the aspirations of Vietnamese engineers to contribute to one of today’s most advanced technology fields. With the belief that humanoid robots will play an increasingly important role in daily life, VinDynamics is focused on developing practical technologies with people at the center.”

Founded in September 2025, VinDynamics is Vingroup’s pioneering humanoid robotics company, with a vision to develop versatile, human-centric robots capable of seamlessly integrating into everyday life and scaling globally. As the global humanoid robotics market is projected to reach tens of trillions of dollars by 2050, driven by rapid advances in AI, sensors, and automation, VinDynamics’ presence at ICRA 2026 and Computex 2026 further reinforces the pioneering role of Vietnamese enterprises in one of the 21st century’s most strategic technology trends.

Hashtag: #VinDynamics

The issuer is solely responsible for the content of this announcement.

About VinDynamics

VinDynamics is a technology company under Vingroup, dedicated to the research, development, and manufacturing of advanced robotics and automation solutions, particularly in the field of humanoid robots. Leveraging cutting-edge technologies such as artificial intelligence, mechatronics, and motion control, VinDynamics aims to deliver intelligent, safe, and cost-effective robotic products that enhance productivity and improve quality of life.

Learn more at: https://vindynamics.net/en