{"id":459992,"date":"2021-03-17T14:04:05","date_gmt":"2021-03-17T18:04:05","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=459992"},"modified":"2021-03-17T14:04:05","modified_gmt":"2021-03-17T18:04:05","slug":"brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/","title":{"rendered":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies"},"content":{"rendered":"

<\/p>\n

BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies<\/b><\/p>\n

ALISO VIEJO, Calif.–(BUSINESS WIRE<\/a>)–BrainChip Holdings Ltd<\/a> (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and presenting at tinyML Summit<\/a>, a virtual event March 22-26, 2021. TinyML Summit will feature technical progress and ecosystem development within the \u201ctiny\u201d machine learning industry to enable ultra-low power ML in edge applications.\n<\/p>\n

\nTiny ML is a growing field of ML technologies including hardware (dedicated integrated circuits), algorithms, and software capable of performing on-device data analytics at extremely low power to enable a range of always-on applications, primarily in battery-operated devices. Tiny ML is common in audio, visual, navigational, biometric, and medical devices as well as other commercial and industrial uses.\n<\/p>\n

\nKristofor Carlson, BrainChip\u2019s Manager of Applied Research, will present a talk \u201cIt\u2019s an SNN future: Are you ready for it? Converting CNN\u2019s to SNNs\u201d on Wednesday March 24 from 12:00-1:00 p.m. In this session, Carlson explains how event-based Spiking Neural Networks address the deficiencies of conventional Convolutional Neural Networks, and highlights the ease of use of enabling more efficient and effective technology solutions. Following the presentation Carlson will host a Q&A in BrainChip\u2019s Virtual booth from 1:00pm to 2:00pm.\n<\/p>\n

\n\u201cBrainChip appreciates the opportunity to showcase our achievements in neuroprocessing at the edge that allow even lower-power, higher-performing AI in audio, vision, olfactory, lidar and other edge sensors,\u201d said BrainChip Chief Development Officer Anil Mankar. \u201cThe field of tiny ML includes industry, academia, start-ups, governmental and non-governmental organizations, and TinyML Summit brings us all together to work collectively and advance the state of the market.\u201d\n<\/p>\n

\nBrainChip\u2019s Akida\u2122 brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities. The Akida (NSoC) and intellectual property, can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity. The Akida NSoC is designed for use as a stand-alone embedded accelerator or as a co-processor, and includes interfaces for ADAS sensors, audio sensors, and other IoT sensors.\n<\/p>\n

About BrainChip Holdings Ltd (ASX: BRN)<\/b><\/p>\n

\nBrainChip is a global technology company that is producing a groundbreaking neuromorphic processor that brings artificial intelligence to the edge in a way that is beyond the capabilities of other products. The chip is high performance, small, ultra-low power and enables a wide array of edge capabilities that include on-chip training, learning and inference. The event-based neural network processor is inspired by the spiking nature of the human brain and is implemented in an industry standard digital process. By mimicking brain processing BrainChip has pioneered a processing architecture, called Akida\u2122, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than through transmission via the cloud to a data center. Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can reduce the large carbon footprint of data centers.\n<\/p>\n

\nAdditional information is available at https:\/\/www.brainchipinc.com<\/a><\/p>\n

\nFollow BrainChip on Twitter: https:\/\/www.twitter.com\/BrainChip_inc
\n<\/a>
Follow BrainChip on LinkedIn: https:\/\/www.linkedin.com\/company\/7792006<\/a><\/p>\n

\"\"<\/p>\n

View source version on businesswire.com: <\/span>https:\/\/www.businesswire.com\/news\/home\/20210317005747\/en\/<\/a><\/span><\/p>\n

\nJPR Communications
\n
Mark Smith, 818-398-1424
\n
marks@jprcom.com<\/a><\/p>\n

KEYWORDS:<\/b> United States North America California<\/p>\n

INDUSTRY KEYWORDS:<\/b> Electronic Design Automation Semiconductor Technology Other Technology Nanotechnology Software<\/p>\n

MEDIA:<\/b><\/p>\n\n","protected":false},"excerpt":{"rendered":"

BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies ALISO VIEJO, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and presenting at tinyML Summit, a virtual event March 22-26, 2021. TinyML Summit will feature technical progress and ecosystem development within the \u201ctiny\u201d machine learning industry to enable ultra-low power ML in edge applications. Tiny ML is a growing field of ML technologies including hardware (dedicated integrated circuits), algorithms, and software capable of performing on-device data analytics at extremely low power to enable a range of always-on applications, primarily in battery-operated devices. Tiny ML is common in audio, visual, navigational, biometric, and medical devices … <\/p>\n

Continue reading “BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-459992","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nBrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies ALISO VIEJO, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and presenting at tinyML Summit, a virtual event March 22-26, 2021. TinyML Summit will feature technical progress and ecosystem development within the \u201ctiny\u201d machine learning industry to enable ultra-low power ML in edge applications. Tiny ML is a growing field of ML technologies including hardware (dedicated integrated circuits), algorithms, and software capable of performing on-device data analytics at extremely low power to enable a range of always-on applications, primarily in battery-operated devices. Tiny ML is common in audio, visual, navigational, biometric, and medical devices … Continue reading "BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/\" \/>\n<meta property=\"og:site_name\" content=\"Market Newsdesk\" \/>\n<meta property=\"article:published_time\" content=\"2021-03-17T18:04:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en\" \/>\n<meta name=\"author\" content=\"Newsdesk\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Newsdesk\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/\"},\"author\":{\"name\":\"Newsdesk\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#\\\/schema\\\/person\\\/482f27a394d4fda80ecb5499e519d979\"},\"headline\":\"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies\",\"datePublished\":\"2021-03-17T18:04:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/\"},\"wordCount\":655,\"image\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/cts.businesswire.com\\\/ct\\\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/\",\"url\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/\",\"name\":\"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies - Market Newsdesk\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/cts.businesswire.com\\\/ct\\\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en\",\"datePublished\":\"2021-03-17T18:04:05+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#\\\/schema\\\/person\\\/482f27a394d4fda80ecb5499e519d979\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#primaryimage\",\"url\":\"https:\\\/\\\/cts.businesswire.com\\\/ct\\\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en\",\"contentUrl\":\"https:\\\/\\\/cts.businesswire.com\\\/ct\\\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#website\",\"url\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/\",\"name\":\"Market Newsdesk\",\"description\":\"Latest Business News in Real Time\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/#\\\/schema\\\/person\\\/482f27a394d4fda80ecb5499e519d979\",\"name\":\"Newsdesk\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g\",\"caption\":\"Newsdesk\"},\"url\":\"https:\\\/\\\/www.marketnewsdesk.com\\\/index.php\\\/author\\\/newsdesk\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies - Market Newsdesk","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/","og_locale":"en_US","og_type":"article","og_title":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies - Market Newsdesk","og_description":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies ALISO VIEJO, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and presenting at tinyML Summit, a virtual event March 22-26, 2021. TinyML Summit will feature technical progress and ecosystem development within the \u201ctiny\u201d machine learning industry to enable ultra-low power ML in edge applications. Tiny ML is a growing field of ML technologies including hardware (dedicated integrated circuits), algorithms, and software capable of performing on-device data analytics at extremely low power to enable a range of always-on applications, primarily in battery-operated devices. Tiny ML is common in audio, visual, navigational, biometric, and medical devices … Continue reading \"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies\"","og_url":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/","og_site_name":"Market Newsdesk","article_published_time":"2021-03-17T18:04:05+00:00","og_image":[{"url":"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en","type":"","width":"","height":""}],"author":"Newsdesk","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Newsdesk","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#article","isPartOf":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/"},"author":{"name":"Newsdesk","@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979"},"headline":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies","datePublished":"2021-03-17T18:04:05+00:00","mainEntityOfPage":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/"},"wordCount":655,"image":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#primaryimage"},"thumbnailUrl":"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/","url":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/","name":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies - Market Newsdesk","isPartOf":{"@id":"https:\/\/www.marketnewsdesk.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#primaryimage"},"image":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#primaryimage"},"thumbnailUrl":"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en","datePublished":"2021-03-17T18:04:05+00:00","author":{"@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979"},"breadcrumb":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#primaryimage","url":"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en","contentUrl":"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&sty=20210317005747r1&sid=flmnd&distro=nx&lang=en"},{"@type":"BreadcrumbList","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/brainchip-joins-tinyml-summit-2021-for-ultra-low-power-edge-machine-learning-technologies\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.marketnewsdesk.com\/"},{"@type":"ListItem","position":2,"name":"BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies"}]},{"@type":"WebSite","@id":"https:\/\/www.marketnewsdesk.com\/#website","url":"https:\/\/www.marketnewsdesk.com\/","name":"Market Newsdesk","description":"Latest Business News in Real Time","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.marketnewsdesk.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979","name":"Newsdesk","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a0d0bd5b0f0ca12a265a459b13169dac35f33776d8501eda5e68844a366f2f46?s=96&d=mm&r=g","caption":"Newsdesk"},"url":"https:\/\/www.marketnewsdesk.com\/index.php\/author\/newsdesk\/"}]}},"_links":{"self":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/posts\/459992","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/comments?post=459992"}],"version-history":[{"count":0,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/posts\/459992\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/media?parent=459992"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/categories?post=459992"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.marketnewsdesk.com\/index.php\/wp-json\/wp\/v2\/tags?post=459992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}