Development Archives | Page 238 of 540 | Digital Watch Observatory

AI-powered home cinema and smart appliances unveiled by Hisense at IFA 2025

Hisense will debut AI-powered innovations at IFA 2025 under the theme ‘AI Your Life,’ showcasing entertainment, smart homes, and climate-friendly technologies. The company aims to make AI seamless and personal.

Entertainment highlights include the 116-inch RGB-MiniLED UX TV with 8,000 nits brightness, plus new laser projectors offering IMAX-level clarity and portability for home cinema and gaming.

Appliances get smarter with the PureFlat refrigerator, featuring a 21-inch screen for cooking, streaming, and AI art. ConnectLife agents will optimise chores and energy use in daily routines.

The U8 S Pro Air Conditioner brings presence detection, AI voice controls, and air purification, while Hisense expands into smart buildings, energy systems, and automotive climate solutions.

Combining advanced display technologies with next-gen appliances, Hisense says its innovations will empower people to live more freely and confidently across global markets.

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Latvia launches open AI framework for Europe

Language technology company Tilde has released an open AI framework designed for all European languages.

The model, named ‘TildeOpen’, was developed with the support of the European Commission and trained on the Lumi supercomputer in Finland.

According to Tilde’s head Artūrs Vasiļevskis, the project addresses a key gap in US-based AI systems, which often underperform for smaller European languages such as Latvian. By focusing on European linguistic diversity, the framework aims to provide better accessibility across the continent.

Vasiļevskis also suggested that Latvia has the potential to become an exporter of AI solutions. However, he acknowledged that development is at an early stage and that current applications remain relatively simple. The framework and user guidelines are freely accessible online.

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China and India adopt contrasting approaches to AI governance

As AI becomes central to business strategy, questions of corporate governance and regulation are gaining prominence. The study by Akshaya Kamalnath and Lin Lin examines how China and India are addressing these issues through law, policy, and corporate practice.

The paper focuses on three questions: how regulations are shaping AI and data protection in corporate governance, how companies are embedding technological expertise into governance structures, and how institutional differences influence each country’s response.

Findings suggest a degree of convergence in governance practices. Both countries have seen companies create chief technology officer roles, establish committees to manage technological risks, and disclose information about their use of AI.

In China, these measures are largely guided by central and provincial authorities, while in India, they reflect market-driven demand.

China’s approach is characterised by a state-led model that combines laws, regulations, and soft-law tools such as guidelines and strategic plans. The system is designed to encourage innovation while addressing risks in an adaptive manner.

India, by contrast, has fewer binding regulations and relies on a more flexible, principles-based model shaped by judicial interpretation and self-regulation.

Broader themes also emerge. In China, state-owned enterprises are using AI to support environmental, social, and governance (ESG) goals, while India has framed its AI strategy under the principle of ‘AI for All’ with a focus on the role of public sector organisations.

Together, these approaches underline how national traditions and developmental priorities are shaping AI governance in two of the world’s largest economies.

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SCO Tianjin Summit underscores economic cooperation and security dialogue

The Shanghai Cooperation Organisation (SCO) summit in Tianjin closed with leaders adopting the Tianjin Declaration, highlighting member states’ commitment to multilateralism, sovereignty, and shared security.

The discussions emphasised economic resilience, financial cooperation, and collective responses to security challenges.

Proposals included exploring joint financial mechanisms, such as common bonds and payment systems, to shield member economies from external disruptions.

Leaders also underlined the importance of strengthening cooperation in trade and investment, with China pledging additional funding and infrastructure support across the bloc. Observers noted that these measures reflect growing interest in alternative global finance and economic governance approaches.

Security issues are prominently featured, with agreements to enhance counter-terrorism initiatives and expand existing structures such as the Regional Anti-Terrorist Structure. Delegates also called for greater collaboration against cross-border crime, drug trafficking, and emerging security risks.

At the same time, they stressed the need for political solutions to ongoing regional conflicts, including those in Ukraine, Gaza, and Afghanistan.

With its expanding membership and combined economic weight, the SCO continues to position itself as a platform for cooperation beyond traditional regional security concerns.

While challenges remain, including diverging interests among key members, the Tianjin summit indicated the bloc’s growing role in discussions on multipolar governance and collective stability.

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Switzerland launches Apertus, an open multilingual AI model

Switzerland has launched its first large-scale open-source language model, Apertus, developed by EPFL, ETH Zurich, and the Swiss National Supercomputing Centre. Trained on the powerful Alps supercomputer in Lugano, Apertus is designed to set a new standard for transparency and multilingual inclusivity in Europe’s AI landscape.

The model comes in two sizes, 8 billion and 70 billion parameters, and supports over 1,000 languages, with 40% of its training data drawn from non-English sources. That allows it to handle underrepresented languages such as Swiss German and Romansh more effectively.

Unlike proprietary AI systems, Apertus is fully open. Its architecture, training data recipes, model weights, and documentation are publicly accessible.

The model can be downloaded from Hugging Face or accessed via Swisscom’s sovereign Swiss AI platform, with both research and commercial use permitted under a permissive license. Developers highlight that its design ensures compliance with Swiss and the EU regulations, with careful filtering of training data for quality and ethical standards.

The release comes just ahead of the Swiss {ai} Weeks hackathons, where developers and researchers will put Apertus to the test. Organisers describe the model as more than a research breakthrough, framing it as a tool to drive innovation across society and industry.

Looking ahead, the Apertus project aims to expand its family of models, improve efficiency, and develop specialised versions for fields like law, health, climate, and education, further strengthening Switzerland’s role in shaping open, public-benefit AI.

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TSMC faces curbs on shipping US tech to China

The United States has revoked Taiwan Semiconductor Manufacturing Company’s licence to ship advanced technology from America to China. The decision follows similar restrictions on South Korean firms Samsung and SK Hynix, increasing uncertainty for chipmakers operating Chinese facilities.

TSMC confirmed that Washington has notified that its authorisation will expire by the end of the year. The company said it would discuss the matter with the US government and stressed its commitment to keeping operations in China running without disruption.

The curbs are part of broader US measures to limit China’s access to advanced semiconductors. While they could complicate shipments and force suppliers to seek individual approvals, analysts suggest the direct impact on TSMC will be limited, as its sole Chinese plant in Nanjing makes older-generation chips that contribute only a small share of revenue.

Chinese customers may increasingly turn to domestic chipmakers, even if their technology lags. Such a shift could spur innovation in less performance-critical areas, while global suppliers grapple with higher costs and regulatory hurdles.

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Key AI researchers depart Apple for rivals Meta and OpenAI

Apple is confronting a significant exodus of AI talent, with key researchers departing for rival firms instead of advancing projects in-house.

The company lost its lead robotics researcher, Jian Zhang, to Meta’s Robotics Studio, alongside several core Foundation Models team members responsible for the Apple Intelligence platform. The brain drain has triggered internal concerns about Apple’s strategic direction and declining staff morale.

Instead of relying entirely on its own systems, Apple is reportedly considering a shift towards using external AI models. The departures include experts like Ruoming Pang, who accepted a multi-year package from Meta reportedly worth $200 million.

Other AI researchers are set to join leading firms like OpenAI and Anthropic, highlighting a fierce industry-wide battle for specialised expertise.

At the centre of the talent war is Meta CEO Mark Zuckerberg, offering lucrative packages worth up to $100 million to secure leading researchers for Meta’s ambitious AI and robotics initiatives.

The aggressive recruitment strategy is strengthening Meta’s capabilities while simultaneously weakening the internal development efforts of competitors like Apple.

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Researchers develop an AI system to modify the brain’s mental imagery with words

A new AI system named DreamConnect can now translate a person’s brain activity into images and then edit those mental pictures using natural language commands.

Instead of merely reconstructing thoughts from fMRI scans, the breakthrough technology allows users to reshape their imagined scenes actively. For instance, an individual visualising a horse can instruct the system to transform it into a unicorn, with the AI accurately modifying the relevant features.

The system employs a dual-stream framework that interprets brain signals into rough visuals and then refines them based on text instructions.

Developed by an international team of researchers, DreamConnect represents a fundamental shift from passive brain decoding to interactive visual brainstorming.

It marks a significant advance at the frontier of human-AI interaction, moving beyond simple reconstruction to active collaboration.

Potential applications are wide-ranging, from accelerating creative design to offering new tools for therapeutic communication.

However, the researchers caution that such powerful technology necessitates robust ethical safeguards to prevent misuse and protect the privacy of an individual’s most personal data, their thoughts.

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Ukraine’s central bank warns against adding virtual assets to national reserves

Ukraine’s National Bank (NBU) has ruled out adding cryptocurrencies to the country’s foreign currency reserves, calling the proposal premature and high-risk. First Deputy Governor Serhiy Nikolaychuk said crypto volatility could reduce reserves and threaten their security.

The central bank highlighted the lack of a global regulatory framework and unified classification for virtual assets. Including crypto, which could violate IMF rules and impede Ukraine’s EU integration.

The European Central Bank considers it unacceptable for member states to include crypto in their reserves.

A draft law filed with parliament earlier this year would have allowed the NBU to acquire cryptocurrencies if desired. However, lawmakers and central bank officials have expressed caution, citing the high volatility of digital assets and potential risks to national financial stability.

Ukraine has seen rising crypto use since Russia’s 2022 invasion. According to a recent UK think tank report, a lack of comprehensive regulation has led to significant losses from crypto-related crime.

Authorities are continuing to prioritise security and financial prudence over speculative digital holdings.

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RBA develops internal AI chatbot

The Reserve Bank of Australia has developed and is testing an in-house, AI-powered chatbot to assist its staff with research and analysis.

Named RBAPubChat, the tool is trained on the central bank’s knowledge base of nearly 20,000 internal and external analytical documents spanning four decades. It aims to help employees ask policy-relevant questions and get useful summaries of existing information.

Speaking at the Shann memorial lecture in Perth, Governor Michele Bullock said that the AI is not being used to formulate or set monetary policy. Instead, it is intended to improve efficiency and amplify the impact of staff efforts.

A separate tool using natural language processing has also been developed to analyse over 22,000 conversations from the bank’s business liaison programme. The Reserve Bank of Australia has noted that this tool has already shown promise, helping to forecast wage growth more accurately than traditional models.

The RBA has also acquired its first enterprise-grade graphics processing unit to support developing and running advanced AI-driven tools.

The bank’s internal coding community is now a well-established part of its operations, with one in four employees using coding as a core part of their daily work. Governor Bullock stressed that the bank’s approach to technology is one of “deliberate, well-managed evolution” rather than disruption.

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