Gentex Corp., a supplier of digital vision, connected car, dimmable glass and fire protection products, has reported financial results for the fourth quarter and calendar year ended Dec. 31, 2022.\nThe gross margin in the fourth quarter of 2022 was 31.2%, compared with a gross margin of 34.3% in the fourth quarter of 2021.\nIn the fourth quarter of 2022 net income was $86.2 million, as compared to net income of $84.2 million in the fourth quarter of 2021.\nFor calendar year 2022, the gross margin was 31.8%, compared to a gross margin of 35.8% for calendar year 2021.\nAutomotive net sales during the fourth quarter of 2022 were $482.9 million, as compared to $409.6 million in the fourth quarter of 2021.
"}}}},{"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":"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.
"}}}},{"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":"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.
"}}}},{"node":{"postTitle":"Dayton man enters not guilty plea in Huber Heights fatal crash","slug":"dayton-man-enters-not-guilty-plea-in-huber-heights-fatal-crash","publishDate":"None","createdLocal":"2023-01-31 14:31:03.892286","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":""}}}},{"node":{"postTitle":"Smart City Initiatives are Creating the Framework for a More Sustainable World","slug":"smart-city-initiatives-are-creating-the-framework-for-a-more-sustainable-world","publishDate":"2023-01-30 20:12:16+00:00","createdLocal":"2023-01-31 14:31:03.252965","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"This idyllic scene may seem far-fetched or unattainable, but the transformation of urban areas to smart, regenerative, sustainable cities has already begun.\nOne of the goals of smart cities is to reduce traffic by creating a more intelligent traffic system.\nThe key to an effective smart city is the sharing-of real-time data.\nEurope InitiativesWhile U.S. cities are beginning to implement smart city policies, European cities are at the vanguard of the sustainable city movement.\nFortunately, we have the technology, data-backed knowledge and momentum to make the smart city a fixture of counties, states and countries around the globe.
"}}}},{"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":"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.
"}}}},{"node":{"postTitle":"Automotive","slug":"automotive","publishDate":"None","createdLocal":"2023-01-31 14:31:00.050068","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"Telefonica and NTT DATA integrate 5G in CIE Automotive’s internal logisticsTelefonica and NTT DATA are executing a proof of concept (PoC) with CIE Automotive, a global automotive supplier.\nAt its facilities in Itziar (Guipuzcoa), a 5G intralogistics management platform has been developed and is being implemented as an integrating and enabling solution for the automation of the transport of finished products from the end of the production line to the warehouse.
"}}}},{"node":{"postTitle":"Learning on tree architectures outperforms a convolutional feedforward network","slug":"learning-on-tree-architectures-outperforms-a-convolutional-feedforward-network","publishDate":"None","createdLocal":"2023-01-31 14:30:59.783696","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The learning-rate scheduler for LeNet-5, η = 0.01, 0.005, 0.001 for epochs = [0, 100), [100, 150), [150, 200], respectively.\nFor Tree-3 (K = 15, M = 80) and 10 Tree-3 (K = 15, M = 80), η decays by a factor of 0.6 every 20 epochs.\nThe learning rate scheduler was the same as for Tree-3 (K = 15, M = 16), on the CIFAR-10 dataset.\nThe gray squares in the first layer represent convolutional hidden units, ({\\sigma }{Conv}), and max-pooling hidden units that are equal zero, except several denoted by RGB dots.\nThe non-zero tree output hidden units, ({\\sigma }{Tree}), are denoted by black dots.
"}}}}]}},"pageContext":{"limit":8,"skip":6520,"homeNumPages":1077,"currentPage":816}}}