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AI, imaging and implants: Taiwan's medtech innovators on show
Photo: HiE/Behrends Article • Medical Taiwan 2026: Company and product showcase AI, imaging and implants: Taiwan's medtech innovators on show Point-of-care ultrasound, AI-assisted surgery, advanced biomaterials, and much more: At Medical Taiwan 2026, manufacturers once again presented a diverse range of solutions across the medical, health and care expo. We took a closer look at three noteworthy companies and their products on show. Leltek Inc. Building on its established handheld ultrasound portfolio, Taiwanese manufacturer Leltek introduced its new LeSONO LX series at this year's expo. The dual-probe devices LX192LC and LX128LC combine convex, linear and cardiac presets in a single 3-in-1 design, allowing clinicians to switch rapidly between imaging modes for abdominal, vascular, musculoskeletal and cardiac examinations. Featuring 192 elements, the probes are designed to deliver sharper image detail across these varied applications. A third model, the LX128LP, pairs linear and phased array configurations in a wireless handheld device optimised specifically for cardiac and vascular assessments, with a compact form factor and fast start-up enabling rapid diagnostics at the point of care. Recommended article Article • Medical Taiwan 2026 Charting the road to tomorrow's healthcare How can innovative technology help solve the most urgent needs in medicine? At the Medical Taiwan 2026 health and care expo in Taipei, leading manufacturers, international experts and decision-makers offered a promising glimpse into the healthcare systems of tomorrow – technology-driven, AI-enhanced and highly efficient, but also personalised and deeply humane at its core. Weighing between 221 and 276 grams, the probes are built for extended clinical use, offering roughly three hours of battery endurance, compatibility with various wireless chargers, and support for 9V fast charging to minimise downtime. Connectivity is designed to be straightforward: the devices pair quickly with Android, iOS and Windows platforms, run as app-based ultrasound without requiring an additional subscription, and
Multimodal Biometric Authentication: Future Trends, Risks, And Security Applications
Identity verification is no longer just about passwords or a single biometric, like a fingerprint. Your team now has to account for identity factors that can be spoofed, replayed, or manipulated across voice, face, device, and behavioral channels. This makes single-factor authentication harder to rely on in high-risk workflows such as onboarding, account recovery, customer support, and remote access. This shift is pushing banks, fintech platforms, contact centers, and enterprise security teams toward multimodal biometric authentication, where multiple identity factors, such as voice, face, fingerprints, device signals, and behavioral patterns, work together to verify a user. The global multimodal biometrics market is projected to reach USD 18.9 billion by 2030 at a CAGR of 12.4%, reflecting the growing demand for layered verification systems. In this article, let's explore how multimodal biometric authentication is shaping identity security for fraud prevention, customer verification, remote access, and contact center workflows. You’ll also see where liveness detection, deepfake detection, and privacy-focused AI fit into a layered authentication strategy. At a Glance: - Multimodal biometric authentication combines multiple identity factors, such as voice, face, fingerprints, device data, and behavior, to create a more layered verification process than single-factor methods. - A mix of core modalities, such as facial recognition, voice biometrics, fingerprints, and behavioral patterns, works together to create a stronger, layered identity verification system. - Advancements in AI, liveness detection, deepfake detection, and real-time processing help authentication run faster, stay secure, and handle more users. - Key trends such as continuous authentication, zero-trust security, passive biometrics, privacy-focused AI, and edge processing are shaping the evolution of identity verification. - Despite its benefits, challenges such as privacy risks, system complexity, bias, and user trust must be carefully managed to implement solutions effectively and ethically. What Are Multimodal Biometric Authentication Solutions? Multimodal biometric authentication solutions use
AI accountability reporting guide
The biggest AI stories are often hidden from view. This guide, a collaboration between the Pulitzer Center’s AI Accountability team and GIJN, helps reporters uncover them. This guide was originally published by The Investigative Journalism Network (GIJ) on June 22, 2026. It is hereby reproduced by iMEdD with permission. Any reprint permissions are subject to the original publisher. Read the original guide here. Editor’s Note: This guide is a collaboration between the Pulitzer Center’s AI Accountability team and GIJN. Karen Hao, Laís Martins, and Pablo Jiménez Arandia co-developed some of the materials described in this article. Featured image: Yasmin Dwiputri & Data Hazards Project / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/ From hoping for impact to designing for impact The onus is on us, journalists, to engage audiences where they are, whether it is video platforms or offline spaces in community libraries, art venues, and school cafeterias. Artificial Intelligence (AI) has become a major force in many areas of society throughout the world. The technology plays an outsized role in many economies and has implications for knowledge workers globally. The most powerful players in this arena are a handful of mostly US-, Europe-, or China-based entities, many of them private Big Tech companies that have garnered billions in investments and are primed to set the tone on how this technology will be developed and deployed around the world. But from its supply chain to its applications, AI has also stirred a lot of controversy. The data centers needed to develop AI are consuming water and energy at extraordinary levels. The workers who are labeling the data that AI needs are struggling with low wages and mental health issues. The AI technologies themselves have proven to be biased and to hallucinate when used. The field of AI is rife with stories for investigative reporters
Listening to nature: Naturalis and LIACS join forces
Listening to nature: Naturalis and LIACS join forces Mapping nature involves generating and analysing massive streams of data in all shapes and forms. Consequently, biology and computer science are becoming increasingly intertwined. The appointment of Stowell at the Leiden Institute of Advanced Computer Science (LIACS) strengthens the collaboration between Naturalis and Leiden University. Understanding the lives of animals ‘Here in Leiden, you have large flocks of jackdaws — everyone knows them,’ says computer scientist Dan Stowell. ‘We see them flying, and we hear them making sounds, but we have no clear idea what each bird is actually doing, or how we’re affecting them. We want to understand the lives of animals through their behaviour and communication, and help the world keep a close eye on biodiversity.’ ‘We want to understand the lives of animals through their behaviour and communication.’ Linking computer science to biodiversity research Stowell is one of the pioneers in a growing army of computer scientists applying their talents to biodiversity research. He was already conducting biodiversity research at Naturalis and is combining his expertise in artificial intelligence and animal sounds with the computer science expertise at LIACS. That app on your phone that recognises bird sounds? It works using tricks Stowell helped invent. Similarly, people are working on AI for species recognition in images, or on algorithms that can link a tiny trace of DNA to an animal or plant species at lightning speed. Our new senses However, to keep pace with the current biodiversity crisis, we need to scale things up. Because nature is in a critical state, Naturalis is pushing for a digital leap forward. Large-scale, innovative projects like ARISE, eDentity and ABM are driving this big step. By linking scientific expertise and natural history collections with AI and modern technology, the complete web of
Privacy-minded fashion aims to baffle <b>facial recognition</b>
Privacy-Minded Fashion Aims To Baffle Facial Recognition Wearable bright patterns, infrared lights, and reflective coatings challenge the surveillance state. With shoplifting a serious concern, and given the declining cost of security equipment, it's no surprise that grocery stores in California are rolling out facial recognition technology to identify known thieves when they step through the door. Software-backed cameras that match people's faces to their names are increasingly ubiquitous at airports, stores, and on the street, spelling the potential end to anonymity in public places. The end, that is, unless people take advantage of gear and tactics designed to confuse facial recognition tech. You are reading The Rattler from J.D. Tuccille and Reason. Get more of J.D.'s commentary on government overreach and threats to everyday liberty. Fashion Responds to the Surveillance State "As facial recognition technology is rolled out across Britain's public spaces, a new generation of designers say privacy could be the next big fashion trend," Amelia Hill reported last week for The Guardian. "Companies have started incorporating 'adversarial patterns' in their garments—carefully designed arrangements of shapes, colours and repeated motifs said to exploit weaknesses in some computer vision systems." If surveillance-conscious clothing becomes a thing, it makes sense that it would be especially popular in the U.K., which has one of the more heavily monitored populations in the world. Last November, The Telegraph described the U.K. as a "surveillance state" with 7.5 million government and private cameras watching public spaces, not counting doorbell installations, dashcams, and the like: "Recent research estimated there were nearly one million private and publicly-owned CCTV cameras in London alone." Originally, those cameras required human eyes to interpret the people and events they captured. But Reuters reported in May that Britain is "one of Europe's leading adopters of live facial recognition policing." London's Metropolitan Police
What are MicroEJ's new features updates?
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New Orleans Cops Published Policy Document Allowing Weaponized Drones
The New Orleans Police Department (NOPD) looked at ways to arm quadcopter drones with weapons, according to a draft version of its drone manual shared with 404 Media. A draft version of the manual, which was live on the NOPD website in June, said that the department’s drones could only be equipped with weapons with written approval from the Superintendent of Police. The current version, live as of July 1, has different language: “The sUAS shall not be equipped with weapons or hazardous materials of any kind,” referring to small Unmanned Aerial Systems, or drones. According to the NOPD, the operations manual it published to the internet with the rules for weaponized drones was an early draft. “The manual published on July 1 is the current published version of the policy. Earlier versions were draft versions that were presented for review before adoption of the current policy,” NOPD told 404 media. “NOPD has made it clear we are not and will not be equipping drones with weapons or other hazardous materials.” NOPD didn’t answer follow-up questions about how or why the draft version of the manual was published. But the publication of a police drone manual that opens the door for weaponized quadcopters is important, and comes as drone companies and police flirt with the idea of putting weapons on their drones. New Orleans has long been a pioneer of camera and drone driven policing and the cops have used controversial tactics to get around public scrutiny and regulations. It shows that what the police are circulating amongst themselves and thinking about privately, what they perhaps want to happen, does not match public policy. NOPD has a history of finding creative ways to work around public policy and scrutiny when it comes to surveillance tech. A private company called Project
Hitachi Vantara becomes customer zero for its own HMAX AI manufacturing overhaul
Hitachi Vantara becomes customer zero for its own HMAX AI manufacturing overhaul Hitachi Vantara achieved a 50 percent reduction in inventory and 77 percent reduction in order-to-ship lead times at a US storage array manufacturing site by using HMAX agentic AI - and has been rewarded with World Economic Forum "Global Lighthouse Factory” recognition. It is the second such award for Hitachi, following Hitachi’s Omika Works in Japan, which was designated a WEF “Lighthouse” in 2020. HMAX is a suite of AI-powered offerings designed to transform social infrastructure and industrial operations for Hitachi’s mobility (rail), energy, industry, and finance. The US Hitachi Vantara site, at Norman, Oklahoma, makes VSP enterprise storage arrays. Jun Abe, EVP and Head of Digital Systems & Services Sector, Hitachi, said: “The results achieved at the Norman site using Agentic AI are a practical example that is unique to Hitachi, combining our strengths in IT, OT (Operational Technology) and products. Going forward, we will provide the expertise and use cases gained through this initiative to customers around the world through HMAX, contributing to enhanced resilience and sustainable growth across industry as a whole.” The Norman plant needed to improve decision-making speed and optimize resource allocation for a complex product lineup comprising approximately 3,000 variants. This was attributed to global shifts in demand and increasingly customized customer requirements. Parent Hitachi Ltd. and Hitachi Vantara collaborated to introduce AI and digital technologies to include autonomous AI-driven decision-making and control applied to end-to-end supply chain operations from order receipt to shipment. The site became Hitachi Vantara’s in-house “Customer Zero” for HMAX. There were three specific AI initiatives; - AI-Driven Demand Forecasting and Optimization of Management Processes - AI uses business meeting data from the system to forecast monthly demand, improving demand forecast accuracy by approximately 19 percent. When requests
3D Sensor Technology Innovation: Transforming AI, Robotics, and Smart Devices
3D Sensor Technology Innovation: Transforming AI, Robotics, and Smart Devices 3D Sensor Technology Innovation: Powering the Next Generation of Intelligent Devices The rapid evolution of artificial intelligence, automation, robotics, autonomous vehicles, consumer electronics, healthcare, and industrial automation is driving unprecedented demand for intelligent sensing technologies. Among these innovations, 3D sensing technology has emerged as one of the most transformative developments, enabling machines to perceive depth, recognize objects, and interact with the physical world with remarkable precision. Unlike conventional 2D sensors, 3D sensors capture depth information alongside height and width, allowing devices to create accurate digital representations of real-world environments. This capability is revolutionizing industries ranging from manufacturing and automotive to healthcare, consumer electronics, retail, aerospace, and smart cities. According to MarketsandMarkets, the global 3D sensor market is projected to grow from USD 8.26 billion in 2026 to USD 21.45 billion by 2032, registering a CAGR of 17.2%. The market's rapid expansion reflects increasing investments in AI-enabled technologies, autonomous systems, industrial automation, and immersive digital experiences. Why 3D Sensors Are Becoming Essential Digital transformation has accelerated the need for machines that can understand spatial environments as humans do. Modern applications require accurate distance measurement, object recognition, gesture detection, facial authentication, environmental mapping, and real-time navigation. 3D sensors provide these capabilities by measuring depth using technologies such as Time-of-Flight (ToF), Structured Light, Stereo Vision, and LiDAR. These technologies generate highly accurate three-dimensional images that improve machine intelligence and decision-making. As industries move toward automation and Industry 4.0, 3D sensing is becoming a critical component in improving productivity, operational safety, and process optimization. Key Technologies Driving 3D Sensor Innovation Several sensing technologies contribute to the growth of the 3D sensor ecosystem. Time-of-Flight (ToF) Sensors ToF technology measures the time taken by emitted light to return after reflecting from an object. It offers high-speed
Next-Generation Biometric Technology Innovation: AI Transforming the Future of Secure ...
Next-Generation Biometric Technology Innovation: AI Transforming the Future of Secure Digital Identity Introduction to Next-Generation Biometric Technology Next-generation biometric technology is transforming how individuals are identified and authenticated in an increasingly digital world. Unlike traditional authentication methods such as passwords or PINs, biometric systems verify identity using unique physical and behavioral characteristics, including facial recognition, fingerprints, iris scans, voice recognition, palm vein patterns, gait analysis, and behavioral biometrics. The latest generation of biometric technologies integrates artificial intelligence (AI), machine learning, cloud computing, edge AI, and multimodal authentication to deliver faster, more secure, and highly accurate identity verification. Governments, financial institutions, healthcare providers, airports, enterprises, and consumer electronics manufacturers are rapidly adopting biometric systems to strengthen security, reduce fraud, and improve user experience. According to MarketsandMarkets, the Biometric System Market is projected to grow from USD 53.22 billion in 2025 to USD 95.14 billion by 2030, at a CAGR of 12.3% during the forecast period. The market's expansion is fueled by increasing cybersecurity concerns, digital identity initiatives, contactless authentication, and AI-powered biometric innovations. History of Next-Generation Biometric Technology Biometric authentication initially relied on fingerprint recognition for law enforcement and government identification programs. As computing power increased, biometric systems expanded to include facial recognition, iris scanning, and voice authentication. Today, next-generation biometric platforms combine multiple biometric modalities with AI-driven analytics, enabling continuous authentication, liveness detection, fraud prevention, and seamless digital identity management across physical and digital environments. Benefits of Next-Generation Biometric Technology Modern biometric technologies provide numerous advantages over traditional authentication methods. Key Benefits - Eliminates reliance on passwords and PINs - Improves cybersecurity and fraud prevention - Enables fast, contactless identity verification - Enhances customer experience through frictionless authentication - Supports digital identity and e-government services - Reduces identity theft and account takeover attacks - Enables secure mobile banking and digital
Infrared Detector Technology Innovation: Enabling the Future of Intelligent Thermal Sensing
Infrared Detector Technology Innovation: Enabling the Future of Intelligent Thermal Sensing Infrared detectors Technology Infrared (IR) detector technology has become a cornerstone of modern sensing solutions, enabling machines and devices to detect heat, monitor movement, capture thermal images, and operate efficiently in low-light or no-light environments. From defense and aerospace to healthcare, industrial automation, automotive safety, and smart consumer electronics, infrared detectors are transforming the way industries perceive and interact with their surroundings. As artificial intelligence (AI), autonomous systems, and Industry 4.0 continue to evolve, the demand for highly accurate, compact, and energy-efficient infrared detectors is accelerating. These sensors provide reliable thermal information that conventional optical sensors cannot capture, making them indispensable in mission-critical applications. According to MarketsandMarkets, the global infrared detector market is projected to grow from USD 0.65 billion in 2025 to USD 1.02 billion by 2030, registering a CAGR of 9.6% during the forecast period. This steady growth reflects rising investments in advanced surveillance systems, autonomous vehicles, industrial automation, and next-generation medical diagnostics. Understanding Infrared Detector Technology Infrared detectors are electronic devices designed to detect infrared radiation emitted by objects based on their temperature. Unlike visible light sensors, infrared detectors can identify thermal signatures, allowing systems to function effectively even in complete darkness, smoke, fog, or adverse weather conditions. These detectors convert infrared radiation into electrical signals, enabling thermal imaging, object detection, temperature measurement, and environmental monitoring. Depending on the application, infrared detectors may operate in short-wave infrared (SWIR), mid-wave infrared (MWIR), or long-wave infrared (LWIR) regions of the electromagnetic spectrum. Advancements in semiconductor materials, microelectronics, and AI-driven image processing have significantly improved the sensitivity, accuracy, and reliability of modern infrared detectors. Why Infrared Detector Innovation Matters Industries worldwide are increasingly relying on thermal sensing to improve safety, efficiency, and automation. Infrared detectors provide unique capabilities that
Elon Musk is remaking the world, like Henry Ford before him – but more dangerously
Elon Musk, briefly the world’s first trillionaire – but now a mere billionaire again – is a man of exceptions. He’s built not one, but two of the world’s most pioneering technology companies (Tesla and SpaceX). He was talking about settling humans on Mars with a straight face some 20 years ago. Unlike most tech CEOs, he posts on social media multiple times daily, via his own platform, X. In 2025, he gave what looked like a Nazi salute, very publicly, in Washington DC. That same year, he held a very senior role in the United States government, with no prior political experience, while simultaneously expanding his business empire. In his brief and chaotic tenure as head of the Department of Government Efficiency (DOGE), he tried to turn government into a problem of data synthesis and pattern recognition, leading to optimised policy solutions. All the while, he seemed to forget that real people, entitled to fairness and justice, were affected profoundly by his desk-based decisions. All this has made him a household name and one of the world’s most powerful individuals. Some, like journalist Cory Doctorow, have been asking: is he now exceptionally dangerous? And where does he fit in with other oft-criticised West Coast “broligarchs”, like Amazon’s Jeff Bezos, Palantir’s Alexander Karp and Meta’s Mark Zuckerberg? To answer these questions, you need to scrutinize both the man and the means at his disposal. This is exactly what Canadian political economist Quinn Slobodian and technology journalist Ben Tarnoff do in their carefully researched, well written and thought-provoking book, "Muskism: A Guide for the Perplexed." “Muskism” is a reference to “Fordism”, named after industrialist and motor vehicle manufacturer Henry Ford, whose mass production model altered American government and society for 40 years, from around 1935. The authors argue that Musk (along
Zain Kuwait named the '5G-Advanced Network Innovation Leader GCC 2026'
KUWAIT: Zain Kuwait has been named ‘5G-Advanced Network Innovation Leader GCC 2026’ by CFI.co (Capital Finance International), in recognition of its leadership in developing and operationalizing advanced network technologies to deliver tangible value for customers, businesses and Kuwait’s digital economy. The recognition followed an assessment by the CFI.co judging panel, which highlighted Zain Kuwait’s practical and commercially grounded approach to 5G-Advanced innovation. The panel recognized the company’s ability to align network investment with customer behavior, spectrum economics, service quality and long-term strategic value, rather than pursuing technology deployment in isolation. The award reflects Zain Kuwait’s continued transformation from a connectivity provider into an agile, customer-centric TechCo, guided by its ‘4WARD - Progress with Purpose’ strategy and aligned with Kuwait Vision 2035. Zain was among the first operators to commercially launch nationwide 5G-Advanced services in Kuwait in 2025, delivering coverage across most of the country and establishing a stronger foundation for next-generation digital services. The company further reinforced its 5G-Advanced roadmap by recently completing a regional-first ultra-high-capacity network test that reached 31 Gbps. The test used advanced multi-carrier spectrum aggregation across the n41, n77, and n78 sub-6 GHz bands and millimeter-wave spectrum, demonstrating the potential of combining broad, reliable coverage with extreme capacity in dense, high-demand areas. The milestone reflects Zain’s leadership in network development and strategic investment, including targeted densification in high-traffic areas, intelligent capacity management, and the deployment of additional capacity where it can deliver the greatest customer and commercial impact. It also reflects the network’s readiness for advanced fixed wireless access, enterprise-grade connectivity, large-scale IoT, smart environments, and applications requiring high throughput and ultra-low latency. A key element of Zain Kuwait’s approach is its shift from conventional network performance indicators toward customer experience-focused management. Using analytics and AI-enabled tools, Zain can identify potential issues earlier, analyze traffic patterns,
Within line of sight – personal issue police drones are on the horizon
Within line of sight – personal issue police drones are on the horizon By Professor Fraser Sampson, former UK Biometrics & Surveillance Camera Commissioner The announcement by the Metropolitan Police Service that they are to deploy drones across all 32 London boroughs shouldn’t come as a surprise – at least not to anyone involved in providing police aerial capability. The popular image of police air support is the ‘Blue Thunder’ model from the old TV series set in Los Angeles. The reality in the UK is very different. British police helicopters are not used to land SWAT teams, and the policing environment doesn’t yet need the advanced armed functionality of the semi-military engagements in many US police departments. The numbers underscore the differences: while the Los Angeles Police Department (LAPD) has 17 helicopters to cover the city’s 1200 square kilometres, the National Police Air Service (NPAS) for England and Wales has just two more to cover the entire country (150, 000 square km). When we established NPAS in West Yorkshire in 2012, air support’s principal contribution to policing was eyes in the sky. Think of the police helicopter as a flying camera platform – then the real surprise from the Met’s decision is how it’s taken so long to adopt cheaper, adaptable technology that’s already proved itself in many other fields. Although the rotary vs fixed wing debate has rumbled on in policing for years, there are many settings in which drones offer more than either of them – and for a lot less. Examples of where uncrewed aerial vehicles (UAV) are already upstaging old world airframes include wide area searches of hostile terrain in Australia, traffic monitoring and incident management in Vietnam and air quality sampling in California. Although providing an undoubtedly valuable service, the highly dispersed NPAS police
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MIFFest Opens Ninth Edition in Kuala Lumpur, Earns ASEAN Records <b>Recognition</b>
The ninth Malaysia International Film Festival (MIFFest) opened on July 18 at MyTown Shopping Centre, kicking off an eight-day showcase of international cinema and marking the festival’s official recognition from ASEAN Records. The opening ceremony drew filmmakers, industry leaders and stars to a red carpet ahead of the evening’s program. Joanne Goh, founder and president of MIFFest, delivered the welcome address alongside this year’s festival ambassadors, Bront Palarae, Daiyan Trisha and Jack Tan. Goh outlined the inspiration behind the festival’s 2026 theme. “This year, our theme is Resonance. Resonance is the lasting echo of a story. It is the emotion that remains long after the credits roll, the conversations that continue beyond the cinema, and the connections that film creates across cultures, generations, and borders,” Goh said. Popular on Variety Datuk Manoharan Periasamy, chair of Tourism Malaysia, addressed the audience, reaffirming support for MIFFest’s role in strengthening the country’s creative industry and cultural diplomacy. Datuk Bahria Mohd Tamil, deputy secretary general (strategic communications and creative industry) at the Ministry of Communications, and Datuk Azmir Saifuddin Mutalib, CEO of the National Film Development Corporation Malaysia (FINAS), also attended. Goh presented tokens of appreciation to the festival ambassadors during the ceremony. The evening’s centerpiece was the presentation of the ASEAN Records title to MIFFest, recognizing the festival’s ASEAN On Screen platform and its Malaysia Golden Global Awards (MGGA) program as a lasting hub for Southeast Asian cinema. Goh accepted the recognition on behalf of the festival. “When we introduced ASEAN On Screen, our vision was to create a lasting platform where the stories of Southeast Asia could be celebrated, discovered, and shared with the world. Through cinema, we hope to continue connecting our diverse voices with international audiences and inspiring future generations of storytellers,” Goh said. ASEAN On Screen launched in 2025
Walmart's secret 'texting' tactic explains frustrating self-checkout habit
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Kr | From Life Early Warning to 7-Diagnosis Integrated Analysis – Andun's "Dual-Core Debut ...
Kr | From life early warning to seven-diagnosis integrated analysis, the technical code of Andun's "dual-core debut" At the World Artificial Intelligence Conference 2026 (WAIC 2026), Andun Health drew widespread attention with two world premieres: China's first life warning watch standard, and the industry's first TCM robot integrating seven diagnostic methods — the Andun TCM Robot. Photo taken at WAIC site Behind the two premieres lies a complete technical system spanning from the perception layer to the algorithm layer and then to the output layer. Core Engine: Tianhui · AI Pulse Diagnosis Algorithm and Triple Confidence System The technical foundation supporting Andun's dual premieres is a self-developed core technology named "Tianhui · AI Pulse Diagnosis Algorithm". For the first time, this algorithm subdivides the 24 traditional TCM pulse conditions into more than 120 quantifiable feature points, realizing the paradigm shift of TCM pulse diagnosis from empirical judgment to data-driven decision-making. Built on top of the algorithm, Andun has established a triple confidence system: the Tianhui TCM Large Model, the Western Medicine Clinical Diagnosis Model, and the Personal Exclusive Health Model work together for collaborative evaluation. At the data monitoring end, Andun's life warning watch collects 2000 sets of high-frequency deep physiological signals daily, including heart rate, blood pressure, blood oxygen, ECG, and body temperature. It can detect and warn of major risks such as myocardial infarction, stroke, and tumors 1 to 7 days in advance, truly enabling proactive health management. Seven Integrated Diagnostic Methods and Three Industry Firsts The seven-diagnosis integrated system of the Andun TCM Robot is the most notable technical highlight of Andun at this WAIC. The traditional TCM "inspection, auscultation & olfaction, inquiry, and pulse-taking" has been expanded to simultaneous collection and fusion analysis across seven dimensions: AI Facial Diagnosis: A high-definition visual camera completes the digital
Imran Khan's sister links India-Pakistan 2025 conflict to Israel <b>recognition</b> plans
Making a bizarre claim, Imran Khan's sister Noreen Niazi claimed that India did not escalate the four-day military conflict with Pakistan in May 2025 because Islamabad agreed to recognise Israel. In an interview on a social media platform on Saturday (Jul 19), she also alleged that the conflict was an attempt to improve the image of Pakistan's military leadership. She went a step ahead and alleged that the operation "was the result of collusion between Pakistan's military leadership and Indian Prime Minister Narendra Modi." She also added that India “refrained from escalating the conflict at Israel's behest because Pakistan was going to recognise Israel.” Reaction from Pakistani government? Pakistan's ruling party Pakistan Muslim League-Nawaz leader and Minister for Information and Culture Azma Bokhari slammed Niazi and said that she made the statement against national interest. Bokhari said, "Noreen Niazi's statement reflects the mindset of her brother Imran Khan. Khan's family has consistently appeared uncomfortable with Pakistan's achievements and that remarks made against the national interest are deeply regrettable." She added that the "entire world acknowledged" Pakistan's success in Maarka-e-Haq, and said Niazi's remarks in support of PM Modi were not only "shameful" but also "highly condemnable." What more Niazi said? Niazi did not offer any evidence for the claims but claimed that the conflict was "orchestrated to bolster the image of the armed forces of Pakistan under Gen Asim Munir". "What do you think? ... India, which is a big country, was not in position to respond to Pakistan when it attacked on May 10? It could have but India deliberately refrained from giving a strong response because of some understanding." S Trending Stories What Trump said? US President Donald Trump in May sparked major controversy when he said that Gulf nations including Pakistan will have to normalise ties with