分类： technology

Meta’s WhatsApp has initiated a significant enhancement to its web platform by introducing native voice and video calling functionality to WhatsApp Web. This development marks a substantial upgrade for browser-based users who previously could only send messages through the web interface without full calling capabilities.

The new feature, currently in beta testing phase, enables users to initiate encrypted audio and video conversations directly from their web browsers without requiring additional software installations. According to reports from WABetaInfo, a trusted source for WhatsApp updates, eligible beta users will notice dedicated call buttons appearing within individual chat windows.

This browser-based calling system incorporates several advanced features including screen sharing functionality and maintains WhatsApp’s signature end-to-end encryption using the Signal protocol. The security implementation ensures consistent protection levels across mobile, desktop, and now web platforms, making it suitable for professional discussions and remote collaboration scenarios.

While the feature represents progress toward parity with WhatsApp’s desktop applications (which gained calling functionality in 2021), current limitations remain. Group calling capabilities are not yet supported in this initial release, with WhatsApp reportedly refining the user experience before broader deployment.

Regional availability varies significantly, particularly in the United Arab Emirates where telecommunications regulations require approval from the Telecommunications and Digital Government Regulatory Authority (TDRA). As WhatsApp calling features remain restricted on all platforms within the UAE, the web-based calling functionality’s availability will similarly depend on regulatory clearance.

The phased rollout begins with beta testers, with wider availability anticipated in the coming weeks for most global markets where WhatsApp calling is already permitted.

In a groundbreaking application of artificial intelligence, Indian law enforcement authorities in Agra have successfully identified a murder victim through advanced digital facial reconstruction technology. The case involved an unidentified woman whose body was discovered wrapped in a blanket near the Yamuna Expressway, presenting investigators with significant challenges due to the compromised condition of the facial features.

The investigation initially reached an impasse when traditional forensic methods, including forensic analysis and canine units, failed to establish the victim’s identity. The deceased’s face was obscured by mud with closed eyes, and the only potential clues were two words—’RS’ and ‘Sunny’—inscribed on her hand, with no official identification documents recovered at the scene.

Facing these obstacles, the Agra Police Department deployed generative AI technology to digitally reconstruct the victim’s facial features. The sophisticated application digitally opened the eyes and enhanced facial characteristics, creating a natural appearance and clear facial profile that enabled recognition.

The digitally generated image was subsequently distributed to police stations across Uttar Pradesh, ultimately leading to a critical breakthrough. The reconstruction enabled identification of the victim as Sonali, a 25-year-old resident of Mahoba. This identification prompted family members to come forward with additional information regarding her background.

Investigators discovered that Sonali had separated from her husband approximately four years prior and had been residing with an individual named Sunny. Post-mortem examination results confirmed death by strangulation. Following the identification, police apprehended Sunny, who confessed to the murder. The suspect admitted to wrapping the victim’s body in a blanket and transporting it to the expressway for disposal after deciding to terminate their relationship.

This case represents a significant milestone in forensic technology applications, demonstrating how AI-powered tools can provide crucial breakthroughs in criminal investigations where traditional methods prove insufficient.

DUBAI – Shanghai Renji Hospital has positioned China at the forefront of global medical technology innovation with a groundbreaking showcase at the World Health Expo Dubai 2026, which commenced on February 9, 2026. The prestigious institution, affiliated with Shanghai Jiao Tong University School of Medicine, introduced its comprehensive “Renji Smart Hospital Solution V1.0” to the international community for the first time.

The integrated platform represents a paradigm shift in healthcare delivery, featuring intelligent operating theaters, AI-enhanced intensive care units, smart ward systems, and a sophisticated internet hospital framework. This holistic approach establishes a new benchmark for patient-centered care powered by artificial intelligence and digital transformation.

A standout innovation capturing significant attention is the “AI Doctor Assistant” (AIDA), an advanced specialist large language model and clinical decision-making platform. Developed through analysis of over 14 million service interactions and enriched by clinical data from Renji’s internet hospital and expert physicians, AIDA currently supports diagnostic and treatment processes across 18 medical specialties.

Academician Xia Qiang, President of Renji Hospital and member of the Chinese Academy of Engineering, emphasized the global dimension of modern healthcare during his presentation. “Contemporary medical advancement transcends national boundaries,” he stated. “It encompasses not only therapeutic interventions but equally importantly, the shared advancement of technological capabilities and the global extension of human healthspan.”

In a strategic move to enhance international medical collaboration, Renji Hospital formalized a partnership with UK-based private healthcare provider HarleyDoc. The agreement establishes a bidirectional cross-border medical channel that will facilitate international patient access to Shanghai’s advanced medical treatments, particularly in reproductive medicine and complex surgical procedures.

Vice President Sun Yun elaborated on the collaboration’s operational framework: “This initiative will enable overseas patients to receive cutting-edge treatments in Shanghai, with postoperative care managed through our remote monitoring platforms and AI-supported follow-up systems, effectively creating a seamless transnational healthcare continuum.”

Amazon is developing an innovative marketplace platform that will enable publishers to license their content specifically for artificial intelligence applications, according to a report from The Information. The tech giant has reportedly circulated presentation materials to publishing industry executives ahead of an Amazon Web Services conference, detailing plans for a dedicated content marketplace that would be integrated with AWS’s core AI tools including Bedrock and Quick Suite.

The initiative emerges amid ongoing negotiations between content creators and AI companies regarding the appropriate use of online materials for training AI models and generating user responses. Publishers have been advocating for usage-based compensation structures that scale according to how extensively their content is utilized by AI systems.

While Amazon declined to provide specific details about the reported project, a company spokesperson emphasized their established relationships with publishers and commitment to continuous innovation. This development follows Microsoft’s recent announcement of its own Publisher Content Marketplace (PCM), indicating a growing trend toward formalized licensing frameworks for AI content usage.

The marketplace concept represents a significant shift in how AI companies access training data, potentially creating new revenue streams for publishers while addressing copyright concerns that have emerged alongside the rapid expansion of generative AI technologies.

China’s domestically engineered Snow Leopard 6×6 wheeled vehicle has demonstrated exceptional resilience in Earth’s most unforgiving environment, completing over 10,000 kilometers of rigorous testing in Antarctica without a single mechanical failure. The breakthrough announcement came from China’s 42nd Antarctic expedition team on February 9, 2026, marking a significant milestone in polar exploration technology.

From December 5, 2025, through early February 2026, the vibrant red vehicle underwent comprehensive evaluation across five distinct Antarctic terrain types surrounding China’s Zhongshan Station research base. The testing protocol subjected the vehicle to extreme conditions including treacherous sea ice, sharp volcanic gravel, soft snow depths, compacted hard snow, and solid ice formations.

This engineering triumph addresses critical capability gaps in China’s polar operations, enabling enhanced rapid personnel transport, scientific research support, and emergency response capacity across Antarctica’s hostile interior. The vehicle’s flawless performance under such demanding conditions represents a technological leap in polar mobility solutions, potentially setting new standards for reliability in extreme environment transportation.

The successful deployment underscores China’s growing expertise in specialized polar equipment development, contributing valuable infrastructure to the international scientific community’s efforts in Earth’s southernmost continent.

The rapid global expansion of artificial intelligence presents a dual-edged scenario for Southeast Asia, where technological advancement risks exacerbating pre-existing economic and digital divisions across the region. According to industry analysts, while nations like Singapore, Malaysia, and Vietnam stand to gain substantially from AI integration, less developed ASEAN members face the prospect of falling further behind in the technological race.

Priyanka Kishore, Director and Principal Economist at Singapore-based consultancy Asia Decoded, emphasized that countries deeply embedded within global AI supply chains possess distinct advantages. “Singapore and Malaysia’s established positions within these networks provide them with continued opportunities to leverage the AI boom,” Kishore noted, adding that Singapore currently leads regional AI deployment with Vietnam demonstrating significant progress.

Research from French investment bank Natixis, published in January, indicates that rising semiconductor demand driven by AI-related supply constraints will substantially contribute to Asian GDP growth throughout the first half of 2026. This technological surge particularly benefits economies with robust digital infrastructure, extensive tech ecosystems, and skilled digital workforce capabilities.

Dominic Ligot, Founder of Manila-based AI training firm CirroLytix, warned of emerging disparities. “Urban centers with superior infrastructure and talent development pipelines will capture the majority of AI benefits,” Ligot stated. He further cautioned that regions lacking these resources face diminished innovation capacity and reduced business competitiveness, ultimately resulting in widened productivity gaps and unequal access to AI-enabled value chains.

The labor market faces particular challenges, with Ligot identifying “polarization” as a significant risk. High-skilled workers capable of complementing AI systems may command increased wages, while routine service positions face potential displacement through automation.

Lavanya Venkateswaran, Senior Economist for ASEAN at OCBC Bank, acknowledged AI’s potential to enhance productivity and stimulate growth across the region but noted adoption isn’t limited to supply chain participants. The technology nevertheless highlights the substantial economic disparities within ASEAN, which encompasses both highly developed economies like Singapore and emerging nations such as Laos and Timor-Leste.

A July 2025 study by the Economic Research Institute for ASEAN and East Asia (ERIA) revealed significant digital readiness disparities among governments, corporations, and individuals throughout the region. Digital uptake varies considerably between nations with established technological infrastructure and those with limited resources.

Elina Noor, nonresident scholar in the Asia Program at the Carnegie Endowment for International Peace, noted that existing digital divides complicate accurate assessment of AI’s economic impact across ASEAN. Noor also highlighted that current discourse frequently overlooks the environmental and social costs associated with AI-related investments, presenting additional considerations for regional policymakers.

Scientists at Shanghai’s East China University of Science and Technology have achieved a technological milestone by developing an innovative system that transforms food waste into sustainable marine fuel. The breakthrough technology, known as Biogas Energy Science and Technology to Methanol (BESTm), successfully converts organic waste into green methanol suitable for ocean-going vessels.

Led by Professor Chen De, who serves both as chair professor at the university and chief scientist at Shanghai CEO Technology Co, the research team has completed the pilot phase of this revolutionary project. The system demonstrates unprecedented efficiency by achieving nearly 100% carbon conversion from biogas to green methanol, significantly outperforming traditional methods that typically waste carbon dioxide emissions.

The technological advancement addresses two critical environmental challenges simultaneously: reducing food waste accumulation in urban areas while providing a sustainable alternative to conventional heavy fuel oil in the shipping industry. According to Professor Duan Xuezhi, lead researcher on the project, the system can convert approximately 8 metric tons of food waste into about 1 ton of green methanol.

The collaborative effort involves multiple organizations including Shanghai Chengtou Group Corp, Sinopec Shanghai Engineering Co, and Shanggang Group Energy (Shanghai) Co. The system incorporates several proprietary technologies such as electricity-driven biogas mixed reforming, green methanol synthesis, coupled heat pump distillation, and thermal integration optimization.

This innovation arrives at a crucial time as the global shipping industry faces mounting pressure to achieve net-zero emissions by 2050. Green methanol has emerged as a leading alternative fuel candidate due to its low-carbon lifecycle and compatibility with existing marine engine technology. The BESTm system not only provides a technological solution but also reduces production costs by more than 30% compared to traditional methods, potentially making green methanol economically competitive with coal-based alternatives.

Researchers emphasize that cities like Shanghai, which generates approximately 3.5 million tons of wet waste annually, could produce over 400,000 tons of green methanol, substantially supporting port fuel requirements while transforming urban waste management challenges into valuable energy resources.