[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-114873-en":3,"doc-seo-114873-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},114873,1099514068365,"Aurelia","https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068",6,"Technology","Techlife News - July 18, 2026 - Techlife News","Techlife News focuses on how leading tech companies are reshaping the AI landscape, from physical AI in robotics to major competitive and regulatory battles. Content highlights Fujitsu and Nvidia adopting robotics platforms to accelerate physically aware machines that perceive, reason, and learn in real environments. It also frames broader industry momentum as attention shifts from chatbots and cloud models toward robots that can safely execute increasingly complex real-world tasks, supported by simulation, accelerated hardware, and sensor-driven unified AI.","SUMMARY  \nFUJITSU AND NVIDIA PUSH PHYSICAL AI INTO ROBOTICS 06  \nOPENAI’S DEVICE HASAN IDENTITY CRISIS 18  \nAI STOCK BOOM FACES ITS BIGGEST TEST 36  \nGOOGLE DELAYS GEMINI ASAI RACE INTENSIFIES 48  \nIMAX BRINGS BIG-SCREEN ENTERTAINMENT TO SELF-DRIVING CARS 60  \nAPPLE AND SAMSUNG DEFY SMARTPHONESLUMP 74  \nSILICON CODE-WHERE COMPETITION ENDS AND INDUSTRY POWER CROSSES... 88  \nEU COURT REJECTS APPLE’S CHALLENGE TO LANDMARK BIG TECH RULES 116  \nAPPLE EYES AI STARTUP TO BRING BIGGER MODELS TO IPHONE 130  \nMUSK AND ALTMAN’S OPENAI WAR ESCALATES 142  \nMETA FACES LAWSUIT OVER AI-DRIVEN LAYOFF CLAIMS 158  \nAPPLECARE+ PRICES RISE FOR NEW MAC AND IPAD PLANS 168  \nSAMSUNG REVEALS ITS CREASELESS FOLDABLE SECRET 176  \nFACETIME SCAMS TARGET BANK PASSWORDS 186  \nMLS RETURNS TO APPLE TV AFTER THE WORLD CUP 196  \nFCC CLEARS FIRST SPACE MIRROR LAUNCH 206  \nANTHROPIC BRINGS CLAUDE TO THE CLASSROOM 218  \nUBER EXPANDS WITHOUT CHASING THE SUPER APP 228  \nAPPLE POSTS RECORD Q2 IPHONE SHIPMENTS 238  \nFUJITSU AND NVIDIA PUSH PHYSICAL AI INTO ROBOTICS  \nJapan’s robotics industry is taking another major step toward arti cial intelligence-powered machines as Fujitsu and several of the country’s leading robotics companies adopt Nvidia’s AI platforms to accelerate the development of what the industry increasingly calls“physical AI.”  \nThe initiative combines Nvidia’s rapidly expanding robotics software and accelerated computing technologies with Japan’s long-established expertise in industrial automation, manufacturing, and humanoid robotics. Rather than focusing solely on chatbots or cloud-based AI models, the partnership targets machines capable of understanding, reasoning about, and interacting with the physical world.  \n06  \n07  \nThe announcement highlights a broader shift across the AI industry. After two years dominated by generative AI software, attention is rapidly turning toward robots that can perceive their surroundings, make decisions, and safely perform increasingly complex real-world tasks.  \nWHAT IS PHYSICAL AI?  \nPhysical AI refers to artificial intelligence systems that extend beyond text, images, and voice to control machines operating in real environments.  \nUnlike traditional industrial robots that repeat pre-programmed movements, physical AI enables machines to interpret sensor data, recognize objects, adapt to unexpected situations, and continuously learn from experience. Cameras, lidar, force sensors, microphones, and other inputs become part of a uni ed AI system capable of understanding both digital instructions and the physical environment.  \nThat capability is essential for the next generation of humanoid robots, warehouse automation, autonomous manufacturing, healthcare assistants, and service robots expected to work alongside people.  \nThe challenge is enormous . A robot must process vision, motion, balance, navigation, object recognition, language, and safety simultaneously while responding in real time. Those requirements demand computing power that only recently became practical through accelerated AI hardware .  \n08  \n09  \nNVIDIA IS BUILDING THE ROBOTICS PLATFORM  \nNvidia has positioned itself as one of the central technology providers for physical AI.  \nThe company’s robotics ecosystem combines powerful GPUs, AI training software, digital twin simulation, and robotics development platforms that allow companies to train machines inside virtual environments before deploying them in factories or commercial settings.  \nSimulation has become increasingly important because collecting real-world robotics data remains expensive and time-consuming. Digital environments allow robots to practice millions of interactions safely, dramatically accelerating development while reducing costs.  \nThe same accelerated computing infrastructure supporting large language models is now being adapted to train robots capable of manipulating objects, navigating buildings, and interacting naturally with humans.  \nThat strategy expands Nvidia’s reach be","cbCaikGAJoiD6JY5","https://ap.wps.com/l/cbCaikGAJoiD6JY5","pdf",84912755,2,1,250,"English","en",105,"# Summary Headlines\n## Physical AI in Robotics\n## What Is Physical AI?\n## Nvidia Builds a Robotics Platform\n## Japan Sees Robotics as a Strategic Industry","[{\"question\":\"What does “physical AI” mean in this article?\",\"answer\":\"Physical AI refers to AI systems that control machines in real environments, using sensors and inputs beyond text, images, and voice. It enables machines to interpret data, recognize objects, adapt to unexpected situations, and learn from experience.\"},{\"question\":\"How are Fujitsu and Nvidia planning to advance robotics with physical AI?\",\"answer\":\"They combine Nvidia’s robotics software and accelerated computing with Japan’s expertise in industrial automation and humanoid robotics. The goal is machines that can perceive, reason about, and interact with the physical world rather than only running chatbot-style models.\"},{\"question\":\"Why is simulation important for developing robots?\",\"answer\":\"Real-world robotics data collection is expensive and time-consuming. Digital twin environments let robots practice millions of interactions safely, which accelerates development and reduces costs before deployment in factories or other settings.\"}]","Techlife News - July 18, 2026 - Techlife News | PDF",1785407111,630,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"techlife-news-july-18-2026-techlife-news","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,48,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":20},"https://docshare.wps.com/document/","Document",{"item":49,"name":12,"@type":44,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/techlife-news-july-18-2026-techlife-news/114873/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05","2026-07-30",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What does “physical AI” mean in this article?","Question",{"text":76,"@type":77},"Physical AI refers to AI systems that control machines in real environments, using sensors and inputs beyond text, images, and voice. It enables machines to interpret data, recognize objects, adapt to unexpected situations, and learn from experience.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How are Fujitsu and Nvidia planning to advance robotics with physical AI?",{"text":81,"@type":77},"They combine Nvidia’s robotics software and accelerated computing with Japan’s expertise in industrial automation and humanoid robotics. The goal is machines that can perceive, reason about, and interact with the physical world rather than only running chatbot-style models.",{"name":83,"@type":74,"acceptedAnswer":84},"Why is simulation important for developing robots?",{"text":85,"@type":77},"Real-world robotics data collection is expensive and time-consuming. 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