{"id":9076,"date":"2023-10-08T06:49:07","date_gmt":"2023-10-08T06:49:07","guid":{"rendered":"https:\/\/aviation-news.info\/?p=9076"},"modified":"2023-10-08T06:49:07","modified_gmt":"2023-10-08T06:49:07","slug":"will-you-have-an-ai-co-pilot-one-day","status":"publish","type":"post","link":"https:\/\/aviation-news.info\/?p=9076","title":{"rendered":"Will you have an AI co-pilot one day?"},"content":{"rendered":"

Aviation news international – Imagine you\u2019re flying your airplane, but you aren\u2019t the only one in control.<\/p>\n

Your co-pilot is a computer, which also has its \u201chands\u201d on the controls.<\/p>\n

You and your co-pilot are on the lookout for different things.<\/p>\n

If you are both paying attention to the same thing, you \u2014 as the human \u2014 are in control. But if you get distracted or miss something, the computer takes over.<\/p>\n

That\u2019s the idea behind Air-Guardian, a system developed by researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).<\/p>\n

As pilots grapple with an onslaught of information from multiple monitors, especially during critical moments, Air-Guardian acts as a proactive copilot, researchers said, explaining the partnership between human and machine is rooted in understanding attention.<\/p>\n

But how does it determine attention?<\/p>\n

It begins with eye-tracking, according to the researchers. In addition, it relies on the neural system and something called \u201csaliency maps,\u201d which pinpoint where attention is directed.<\/p>\n

The maps serve as visual guides highlighting key regions within an image, aiding in grasping and deciphering the behavior of intricate algorithms, researchers explained.<\/p>\n

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<\/center>Air-Guardian identifies early signs of potential risks through these attention markers, instead of only intervening during safety breaches like traditional autopilot systems, according to the researchers.<\/p>\n

\u201cAn exciting feature of our method is its differentiability,\u201d says Lianhao Yin, an MIT CSAIL researcher and lead author on a new paper about Air-Guardian. \u201cOur cooperative layer and the entire end-to-end process can be trained. We specifically chose the causal continuous-depth neural network model because of its dynamic features in mapping attention.\u201d<\/p>\n

\u201cAnother unique aspect is adaptability,\u201d he continued. \u201cThe Air-Guardian system isn\u2019t rigid \u2014 it can be adjusted based on the situation\u2019s demands, ensuring a balanced partnership between human and machine.\u201d<\/p>\n

In field tests, both the pilot and the system made decisions based on the same raw images when navigating to the target waypoint.<\/p>\n

Air-Guardian\u2019s success was gauged based on the cumulative rewards earned during flight and a shorter path to the waypoint. The guardian reduced the risk level of the flights and increased the success rate of navigating to target points, the researchers discovered.<\/p>\n

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<\/center>For future adoption, there\u2019s a need to refine the human-machine interface, the researchers said. Feedback suggests an indicator, like a bar, might be more intuitive to signify when the guardian system takes control.<\/p>\n

Air-Guardian heralds a new age of safer skies, offering a reliable safety net for those moments when human attention wavers, according to MIT officials.<\/p>\n

\u201cThe Air-Guardian system highlights the synergy between human expertise and machine learning, furthering the objective of using machine learning to augment pilots in challenging scenarios and reduce operational errors,\u201d says Daniela Rus, a professor of electrical engineering and computer science at MIT, director of CSAIL, and senior author on the paper.<\/p>\n

\u201cOne of the most interesting outcomes of using a visual attention metric in this work is the potential for allowing earlier interventions and greater interpretability by human pilots,\u201d says Stephanie Gil, assistant professor of computer science at Harvard University, who was not involved in the work. \u201cThis showcases a great example of how AI can be used to work with a human, lowering the barrier for achieving trust by using natural communication mechanisms between the human and the AI system.\u201d<\/p>\n

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<\/center>The research was partially funded by the U.S. Air Force (USAF) Research Laboratory, the USAF Artificial Intelligence Accelerator, the Boeing Co., and the Office of Naval Research.<\/p>\n

For more information:\u00a0MIT.edu<\/a><\/p>\n

source: https:\/\/generalaviationnews.com\/2023\/10\/07\/will-you-have-an-ai-co-pilot-one-day\/<\/p>\n","protected":false},"excerpt":{"rendered":"

Aviation news international – Imagine you\u2019re flying your airplane, but you aren\u2019t the only one in control. Your co-pilot is a computer, which also has its \u201chands\u201d on the controls. You and your co-pilot are on the lookout for different things. If you are both paying attention to the same thing, you \u2014 as the …<\/p>\n","protected":false},"author":1,"featured_media":9077,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_google_business_share_type":"","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[98,102],"tags":[],"class_list":["post-9076","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-companies","category-featured-en"],"yoast_head":"\nWill you have an AI co-pilot one day? - aviation news<\/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:\/\/aviation-news.info\/?p=9076\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Will you have an AI co-pilot one day?\" \/>\n<meta property=\"og:description\" content=\"Aviation news international – Imagine you\u2019re flying your airplane, but you aren\u2019t the only one in control. 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