But they also need psychological first aid – that is, immediate mental health counseling along with support that strengthens their connections with their friends, relatives and decision-makers.\nPsychological aspects of disastersResearch conducted after a wide variety of catastrophes has shown that mental health problems become more common after these events.\nOften moved to emergency shelters, and away from their doctors, neighbors and friends, survivors – especially those without strong networks – regularly experience poor mental health.\nTheir friends and relatives can provide emotional support, help them stay informed, and encourage the use of mental health treatment and outside help when it’s needed.\nThose with strong social networks, however, generally had fewer mental health problems than other survivors with weaker connections to their friends and loved ones.
"}}}},{"node":{"postTitle":"This CircuitPython Battery Tester Works From Big Car Batteries Down to Teeny-Tiny Coin Cells","slug":"this-circuitpython-battery-tester-works-from-big-car-batteries-down-to-teeny-tiny-coin-cells","publishDate":"None","createdLocal":"2023-02-28 14:31:01.500328","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"\"This was my first Raspberry Pi/microcontroller project, and I wanted to make a tool for myself that I couldn't find commercially available,\" Carson explains.\n\"I wanted to use a solid-state relay [SSR] to control the drain of a battery through a fixed resistance.\nThis handy tool discharges a battery to test its capabilities, driven by CircuitPython on a Raspberry Pi Pico.\n(📷: carsonauto)\"The battery is connected directly to the resistor via a DC switching solid state relay,\" Carson explains.\n\"The duty cycle of the SSR firing will be modified to control the average current draw by the battery to the resistor.
"}}}},{"node":{"postTitle":"Citroen eC3 electric vehicle launched in India at Rs. 11.5 Lakh starting price","slug":"citroen-ec3-electric-vehicle-launched-in-india-at-rs-11-5-lakh-starting-price","publishDate":"2023-02-27 14:42:07+00:00","createdLocal":"2023-02-28 14:31:00.898636","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"French carmaker Citroen has launched the eC3, the electric version of its ICE-powered C3 hatchback in India.\nThe eC3 has a 29.2 kWh battery pack and front-axle mounted electric motor, which makes 57 hp and 143 Nm of peak torque.\n8.69 lakh (ex-sh) for the 19.2 kWh battery pack variants, Rs.\n11.49 lakh (ex-sh) for the 24 kWh battery pack variants with 7.2 kW AC charger.\nThe Tiago EV, on the other hand, makes 18 bhp more and sprints 1.1s quicker to 60 km/h.
"}}}},{"node":{"postTitle":"Pentagon contracts facial recognition for autonomously responding drones","slug":"pentagon-contracts-facial-recognition-for-autonomously-responding-drones","publishDate":"2023-02-27 09:24:42+00:00","createdLocal":"2023-02-28 14:31:00.755029","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The United States, one of the pioneering countries in the military use of drones, is equipping its gadgets with facial recognition capabilities that allow them to respond autonomously.\nThe project to adapt these facial recognition systems to drones has amounted to 729,000 dollars (about 690,000 euros at current exchange rates).\nIdentification through facial recognition works with a high degree of success if the image is taken in suitable conditions, but it is more difficult to do it from a drone.\nOther countries are also developing their own facial recognition programs from unmanned military devices.\nThe development of devices like this raises fears that drones with facial recognition programs could be used by criminals and terrorist organizations to attack their targets.
"}}}},{"node":{"postTitle":"AT&T Chosen as Connectivity Provider for Lucid Motors EVs","slug":"at-t-chosen-as-connectivity-provider-for-lucid-motors-evs","publishDate":"2023-02-27 00:15:00-06:00","createdLocal":"2023-02-28 14:31:00.159201","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"AT&T is the Exclusive Connectivity Provider for Lucid Electric Vehicles in North AmericaAT&T is the exclusive connectivity provider for Lucid’s full line of electric vehicles (EVs) in the U.S., Canada and Mexico.\nAT&T connectivity enables Lucid to offer a wide array of services and features, making its vehicles more enjoyable, convenient, and capable for customers.\n“The strength of AT&T’s network and IoT leadership in the connected car space are key reasons Lucid chose AT&T to connect our vehicles,” said Michael Bell, Senior Vice President, Digital, Lucid Motors.\nLucid Motors represents the future of the connected car.\nFrom initial design to final product and beyond, connectivity helps keep EVs healthy, updated and on the road longer,” said Cameron Coursey, Vice President, AT&T Connected Solutions.
"}}}},{"node":{"postTitle":"Qualcomm Snapdragon Auto 5G Gen2 launched to make cars smarter","slug":"qualcomm-snapdragon-auto-5g-gen2-launched-to-make-cars-smarter","publishDate":"2023-02-28 10:13:54+05:30","createdLocal":"2023-02-28 14:30:59.243604","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"Qualcomm introduces new Snapdragon automotive 5G platform to smart cars Photo : IANSHINDIKEY HIGHLIGHTS With support for satellite communications, the Snapdragon Auto 5G Modem-RF Gen 2 will also be used for a new form of automobile communication.\nSnapdragon 5G Modem-RF systems are the world's first commercial modem-to-antenna 5G solution.\nChip maker Qualcomm has recently rolled out the latest addition to its burgeoning Snapdragon Digital Chassis connected car technology portfolio with its Snapdragon Auto 5G Modem-RF Gen 2.\nSnapdragon 5G Modem-RF systems are the world's first commercial modem-to-antenna 5G solution.\nWith support for satellite communications, the Snapdragon Auto 5G Modem-RF Gen 2 will also be used for a new form of automobile communication, said the company.
"}}}},{"node":{"postTitle":"AI (Artificial Intelligence) Image Recognition Market by 360 Market Updates Reports with Top Featured Companies Dominating the Industry","slug":"ai-artificial-intelligence-image-recognition-market-by-360-market-updates-reports-with-top-featured-companies-dominating-the-industry","publishDate":"None","createdLocal":"2023-02-28 14:30:58.913130","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"AI (Artificial Intelligence) Image Recognition Market {360 Market Updates with 100 Pages Research Report} Industry Report helps identify potential markets for new product launches and best distribution strategies for certain products.\nThe report also examines the trends of buyers and suppliers that help shape the production strategy for the AI (Artificial Intelligence) Image Recognition market.\nThe AI (Artificial Intelligence) Image Recognition market research report is one of the best comprehensive market research reports that highlights the challenges, market trends, opportunities, driving forces, emerging trends, product types (Hardware, Software, Services), applications (Automotive, Healthcare, BFSI, Retail, Security, Other) and competition in the AI (Artificial Intelligence) Image Recognition industry.\nOn the basis of Types, the AI (Artificial Intelligence) Image Recognition market can primarily split into:HardwareSoftwareServicesOn the basis of Applications, the AI (Artificial Intelligence) Image Recognition market covers:AutomotiveHealthcareBFSIRetailSecurityOtherFor More Information or Query or Customization before buying, Visit at https://www.360marketupdates.com/enquiry/request-customization/21403011AI (Artificial Intelligence) Image Recognition market size was valued at USD 2698.43 million in 2021 and is expected to expand at a CAGR of 24.69% during the forecast period, reaching USD 10140.15 million by 2027.\nKey target audience are:- Manufacturers of disproportionate AI (Artificial Intelligence) Image Recognition- Raw material suppliers- Market research and consulting firms- Government bodies such as regulating authorities and policy makers- Organizations, forums and alliances related to disproportionate AI (Artificial Intelligence) Image RecognitionInquire more and share questions if any before the purchase on thishttps://www.360marketupdates.com/enquiry/pre-order-enquiry/21403011Main Points from Table of Contents:1 Study Coverage1.1 AI (Artificial Intelligence) Image Recognition Product Introduction1.2 Market by Type1.3 Market by Application1.4 Study Objectives1.5 Years Considered2 Global AI (Artificial Intelligence) Image Recognition Production2.1 Global AI (Artificial Intelligence) Image Recognition Production Capacity (2017-2029)2.2 Global AI (Artificial Intelligence) Image Recognition Production by Region: 2022 VS 20292.3 Global AI (Artificial Intelligence) Image Recognition Production by Region3 Global AI (Artificial Intelligence) Image Recognition Sales in Volume and Value Estimates and Forecasts3.1 Global AI (Artificial Intelligence) Image Recognition Sales Estimates and Forecasts 2017-20293.2 Global AI (Artificial Intelligence) Image Recognition Revenue Estimates and Forecasts 2017-20293.3 Global AI (Artificial Intelligence) Image Recognition Revenue by Region: 2017 VS 2022 VS 20293.4 Global AI (Artificial Intelligence) Image Recognition Sales by Region3.5 Global AI (Artificial Intelligence) Image Recognition Revenue by Region4 Competition by Manufactures4.1 Global AI (Artificial Intelligence) Image Recognition Production Capacity by Manufacturers4.2 Global Sales by Manufacturers4.3 Global AI (Artificial Intelligence) Image Recognition Revenue by Manufacturers4.4 Global AI (Artificial Intelligence) Image Recognition Sales Price by Manufacturers4.5 Analysis of Competitive Landscape4.6 Mergers and Acquisitions, Expansion Plans5 Market Size by Type5.1 Global AI (Artificial Intelligence) Image Recognition Sales by Type5.2 Global AI (Artificial Intelligence) Image Recognition Revenue by Type5.3 Global AI (Artificial Intelligence) Image Recognition Price by Type6 Market Size by Application6.1 Global AI (Artificial Intelligence) Image Recognition Sales by Application6.2 Global Revenue by Application6.3 Global AI (Artificial Intelligence) Image Recognition Price by Application7 North America8 Europe9 Asia Pacific10 Latin America11 Middle East and Africa12 Corporate Profiles12.1 Company12.1.1 Corporation Information12.1.2 Overview12.1.3 Sales, Price, Revenue and Gross Margin (2017-2022)12.1.4 Product Model Numbers, Pictures, Descriptions and Specifications12.1.5 Recent Developments13 Industry Chain and Sales Channels Analysis13.1 AI (Artificial Intelligence) Image Recognition Industry Chain Analysis13.2 Key Raw Materials13.3 Production Mode and Process13.4 Sales and Marketing13.5 AI (Artificial Intelligence) Image Recognition Customers14 Market Drivers, Opportunities, Challenges and Risks Factors Analysis14.1 AI (Artificial Intelligence) Image Recognition Industry Trends14.2 Market Drivers14.3 Market Challenges14.4 Market Restraints15 Key Findings in the Global AI (Artificial Intelligence) Image Recognition StudyPurchase this report (Price 3250 USD for a single-user license) @https://www.360marketupdates.com/purchase/21403011Contact Us:360 market updatesPhone:USA: +1 424 253 0807UK: +44 203 239 8187Email:[email protected]Web: https://www.360marketupdates.com/For More Related Reports Click Here :
"}}}},{"node":{"postTitle":"Japan Deep Learning Markets, Competition, Forecast and Opportunities, 2027","slug":"japan-deep-learning-markets-competition-forecast-and-opportunities-2027","publishDate":"None","createdLocal":"2023-02-28 14:30:58.293846","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The Japan deep learning market is expected to grow at an impressive CAGR in the forecast period, FY2023-FY2027High demand from the manufacturing industry, supportive government policies, and declining hardware costs are the primary factors driving the growth of the Japan deep learning market throughout the forecast period.\nBy using deep learning technology, industrial robots can detect and prevent malfunctions beforehand, which ensures increased productivity in the manufacturing industries.\nIncreased penetration of telehealth and patient monitoring devices is further expected to fuel the Japan deep learning market growth for the next five years.\nCompetitive LandscapeCompany Profiles: Detailed analysis of the major companies present in Japan's deep learning market.\nAmazon Web Services (AWS)Google Inc.IBM CorporationIntel CorporationMicrosoft CorporationPreferred NetworksAbeja Inc.Cinnamon Inc.UbieAscent RoboticsReport Scope:Japan Deep Learning Market, By Offering:HardwareSoftwareServicesJapan Deep Learning Market, By Application:Image RecognitionSignal RecognitionData MiningJapan Deep Learning Market, By End-User Industry:HealthcareRetailAutomotiveSecurityManufacturingOthersJapan Deep Learning Market, By Architecture:RNNCNNDBNDSNGRUJapan Deep Learning Market, By Region:Hokkaido & TohokuKantoChubuKansaiChugokuShikokuKyushuFor more information about this report visit https://www.researchandmarkets.com/r/6d7o5q-deep?w=5About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data.
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