{"componentChunkName":"component---src-templates-image-recognition-news-js","path":"/image-recognition-news/232","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"allContentfulNfnPost":{"edges":[{"node":{"postTitle":"Southeastern's Minix Earns National Recognition","slug":"southeastern-s-minix-earns-national-recognition","publishDate":"None","createdLocal":"2023-02-01 14:30:47.206671","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Southeastern's Minix Earns National Recognition VSN (VSN ( admin ) Published Tuesday, January 31, 2023 - 12:30 PM MIAMI GARDENS, Fla.- After yet another dominating week that earned him his sixth Sun Conference Player of the Week nod, Riley Minix has been named the NAIA Men's Basketball Player of the Week.\nOffensively, Minix now ranks second nationally in points per game with 26.5 and fifth nationally in made field goals at 191.\nOn the defensive front, Minix sits at the top of the NAIA in rebounds per game with 13.7 with 246 total rebounds on the season, the second-most nationally.\nAgainst Thomas University, Minix tallied 27 points and 14 rebounds while shooting 73% from the field and recording four assists and a block.\nHe also averaged 13 rebounds per game with six assists and two blocked shots.</p>"}}}},{"node":{"postTitle":"Iterate.ai has created threat awareness technology","slug":"iterate-ai-has-created-threat-awareness-technology","publishDate":"2023-01-31 14:55:25+00:00","createdLocal":"2023-02-01 14:30:46.228116","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>There have been 39 mass shootings in which four or more people have been shot so far in 2023.\nAnd with Monterey Park shooting and now the Half Moon Bay shooting being our most recent mass casualty events in California.\nThankfully, the technology to prevent these kinds of mass shootings is here and is already being used to prevent these tragedies in certain schools and businesses across the US.\nSan Jose, CA based tech and AI company, Iterate.ai, has created a “Threat Awareness Technology” that leverages advanced AI image recognition to identify weapons.\nThis technology can be implemented with existing or new cameras, providing almost instant identification reaction times to weapons including guns or knives - even hidden weapons through bags, clothing and walls.</p>"}}}},{"node":{"postTitle":"LG Group to boost image captioning technology","slug":"lg-group-to-boost-image-captioning-technology","publishDate":"None","createdLocal":"2023-02-01 14:30:45.389923","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":""}}}},{"node":{"postTitle":"A colorful new way to visualize gaseous properties - Chemical Engineering","slug":"a-colorful-new-way-to-visualize-gaseous-properties-chemical-engineering","publishDate":"2023-02-01 00:00:00+00:00","createdLocal":"2023-02-01 14:30:43.614308","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>When compressed by the injection of a gas sample, a ripple-like deformation effect occurs at this interface.\nThe compression and deformation of the PDMS, and the resulting pattern of ripples, produce structural colors that impact the device’s optical transmittance.\nThe key to this chemistry is maximizing the deformation so it can be used for measuring and visualizing the structural colors in the ripple patterns.\nAs the PDMS deformation depends on gas flowrates, densities and viscosities, the produced structural colors can be used to analyze the properties of gas samples.\nAccording to NIMS, the team is investigating incorporating this technology into image-recognition and machine-learning techniques to improve gas analysis.</p>"}}}},{"node":{"postTitle":"Smart Shelves Market : An In-Depth Exploration of the Industry by 2030","slug":"smart-shelves-market-an-in-depth-exploration-of-the-industry-by-2030","publishDate":"None","createdLocal":"2023-01-31 14:31:05.784655","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The rising demand for the Smart Shelves market is expected to drive the demand for Smart Shelves market, thereby bolstering the growth of the industry.\nThe global smart shelves market size is expected to reach USD 15.34 Billion at a robust revenue CAGR of 22.4% in 2030, according to latest analysis by Emergen Research.\nMarket revenue growth is primarily driven by factors such as increased use of technologies such as IoT and RFID in retail.\nSmart shelves are made with transistors combined with a Radio Frequency Identification Reader (RFID) sensor that is integrated inside, above, or behind shelves.\nContact Us:Eric LeeCorporate Sales SpecialistEmergen Research | Web: www.emergenresearch.comDirect Line: +1 (604) 757-9756E-mail: [email protected]Visit for More Insights: <a href=\"https://www.emergenresearch.com/insightsExplore\">https://www.emergenresearch.com/insightsExplore</a> Our Custom Intelligence services | Growth Consulting ServicesThe post Smart Shelves Market : An In-Depth Exploration of the Industry by 2030 appeared first on Market O Graphics.</p>"}}}},{"node":{"postTitle":"Trade Union recognition in private sector now legislated for","slug":"trade-union-recognition-in-private-sector-now-legislated-for","publishDate":"None","createdLocal":"2023-01-31 14:31:04.985151","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Trade union recognition in the private sector has now been legislated for through an amendment to the Employment Act.\nThe regulations provide the framework for collective bargaining and also for the union to apply to the Director of Employment if an employer refuses to grant recognition.\nThe Minister for Industrial Relations said the new legislation marked a new area of recognition for trade unions, following a detailed consultation with the Chamber of Commerce, the Gibraltar Federation of Small Businesses and the relevant unions.\nSteven Linares said however, that most employers already accept that modern trade union practices are as advantageous to them as to employees.\nTrade union recognition in the private sector has been a manifesto commitment of the GSLP/Liberal Government.</p>"}}}},{"node":{"postTitle":"China nuclear-weapons lab extensively used US chips for years despite curbs: Report","slug":"china-nuclear-weapons-lab-extensively-used-us-chips-for-years-despite-curbs-report","publishDate":"None","createdLocal":"2023-01-31 14:31:04.062245","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>These chips are widely used in data centres and personal computers, and the report suggests that they were acquired from resellers in China.\nAlso Read | How Biden's curbs on chips to China is part of broader effortMany of them were procured as components for computing systems.\nUS has in place restrictions that bar a foreign country from making such purchases that can be used for atomic-weapons research.\nThe CAEP academy was one of the first Chinese institutions to be put on the US blacklist because of its nuclear work.\nNuclear experts say that in at least seven of them, there were applications that can be used for maintaining nuclear stockpiles.</p>"}}}},{"node":{"postTitle":"A novel ultrasound image diagnostic method for thyroid nodules","slug":"a-novel-ultrasound-image-diagnostic-method-for-thyroid-nodules","publishDate":"None","createdLocal":"2023-01-31 14:31:03.150532","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The following figure shows the gradient-weighted class activation maps of the two groups of nodule ultrasound classification.\nThe small nodule classification performance of the model still needs to be guaranteed, so this paper adopts a dual-branch structure to complete the nodule classification task.\nIn this paper, a ResNet-based dual-branch classification network is used, and the nodular area image is cropped by using the positioning result.\nResNet101 shows moderate specificity but the highest accuracy and sensitivity for uncut ultrasound images of nodules.\nWhen training the classification network, the nodular region dataset generated by the uncut dataset and the positioning network is used.</p>"}}}}]}},"pageContext":{"limit":8,"skip":1848,"irNumPages":301,"currentPage":232}}}