The stock market trembled in the midweek after the Federal Reserve announced Wednesday, 16 June, that it plans to hike interest rates as early as 2023. And though the Nasdaq NDAQ and S&P 500 both recovered fairly quickly from Wednesday's midafternoon slump, the Dow Jones Industrial Index wasn't quite so fortunate. The Fed's policy update deviates from previous estimates from the Fed, which pushed rate hikes out into 2024 and beyond. And while there was no mention of when the Fed will start to roll back its $120 billion per month bond purchase program, rest assured, investors are poised for that blow, too. But until that happens, we can all sit back, breathe a sigh of relief that the Fed didn't sweep the rug out from under our investment accounts overnight, and enjoy this week's trending stocks courtesy of Q.ai. Q.ai runs daily factor models to get the most up-to-date reading on stocks and ETFs.
Researchers are working on an interdisciplinary research project funded by NASA that aims to design and develop a safety management system for electric autonomous aircraft. Assistant professor in the Department of Mechanical and Aerospace Engineering, researches control, optimization, machine learning and Artificial Intelligence (AI) in air transportation and aviation. His lab builds flight deck and ground-based automation and decision support tools to improve and ensure safety for emerging aircraft types and flight operations. While a lot of the innovation in Artificial Intelligence and machine learning applications has been focused on revolutionizing the internet and digital connectivity, group of researchers are focused on expanding those benefits into transforming air transportation for physical connectivity and future mobility. Researchers are investigating on a new three-year, $2.5 million NASA System-Wide Safety grant project.
A George Washington University School of Engineering and Applied Science professor is working on an interdisciplinary research project funded by NASA that aims to design and develop a safety management system for electric autonomous aircraft. Peng Wei, an assistant professor in the Department of Mechanical and Aerospace Engineering, researches control, optimization, machine learning and artificial intelligence (AI) in air transportation and aviation. His lab builds flight deck and ground-based automation and decision support tools to improve and ensure safety for emerging aircraft types and flight operations. While a lot of the innovation in AI and machine learning applications has been focused on revolutionizing the internet and digital connectivity, Dr. Wei is part of a group of researchers focused on expanding those benefits into transforming air transportation for physical connectivity and future mobility. Dr. Wei is the principal investigator of a new three-year, $2.5 million NASA System-Wide Safety grant project.
Participants sit a Blue Origin space simulator during a conference on robotics and artificial intelligence in Las Vegas on June 5, 2019. On Saturday, Blue Origin announced that an unidentified bidder will pay $28 million for a suborbital flight on the company's New Shepard vehicle. Participants sit a Blue Origin space simulator during a conference on robotics and artificial intelligence in Las Vegas on June 5, 2019. On Saturday, Blue Origin announced that an unidentified bidder will pay $28 million for a suborbital flight on the company's New Shepard vehicle. Amazon billionaire Jeff Bezos is going into space on July 20 on a reusable rocket made by his space exploration company, Blue Origin.
Because the airline's dispatchers must account for weather, turbulence, and traffic volume in their planning efforts, "Flyways shows all that information on a dynamic 4D map," said the release. "When it finds a better route, the system provides actionable recommendations to flight dispatchers who then decide whether to accept and implement the recommended solution or decline. Predictive modeling allows Flyways to'look into the future,' helping inform users how the airspace will evolve as weather and congestion change. Flyways looks at all scheduled and active flights across the US, scanning air traffic systemwide, rather than focusing on a single flight. This allows it to avoid air traffic congestion. The Flyways-monitored flight is being routed to a different, less crowded route so that it can arrive on time and avoid weather."
Given the near 85% fail rate in corporate artificial intelligence projects, it was a pleasure to visit with Alaska Airlines, which launched a highly successful AI system that is helping flight dispatchers. I visited with Alaska to see what the "secret sauce" was that made its AI project a success. Here are some tips to help your company execute AI as well as Alaska Airlines has. Initially, the idea of overhauling flight operations control existed in concept only. "Since the idea was highly conceptual, we didn't want to oversell it to management," said Pasha Saleh, flight operations strategy and innovation director for Alaska Airlines. "Instead, we got Airspace Intelligence, our AI vendor, to visit our network centers so they could observe the problems and build that into their development process.
Eggs littered the sand, but there was no sign of life around or in them. The seabirds that should have been keeping watch had taken off, terrified by a drone that crash-landed into their nesting grounds on an island at the Bolsa Chica Ecological Reserve. "We've never seen such devastation here," said Melissa Loebl, an environmental scientist who manages the Huntington Beach reserve. "This has been really hard for me as a manager." Some 3,000 elegant terns fled the reserve after the drone crashed May 12, leaving behind 1,500 to 2,000 eggs, none of them viable.
Alaska Airlines and Airspace Intelligence announced today the signing of a multi-year contract for the use of Flyways AI, an industry-changing platform that uses artificial intelligence (AI) and machine learning to assist dispatchers in making flight operations more efficient and sustainable by optimizing routes and improving the predictability and flow of airline traffic. Alaska is the first airline worldwide to adopt the technology. The use of an AI-powered flight monitoring and routing platform that aids in critical decisions is a first in the U.S. air transportation industry. It allows the airline and its employees to plan the most efficient routes by giving dispatchers new tools to make informed decisions quickly. Using machine-learning models of the National Airspace System, Flyways predicts future scenarios and manages exceptions network-wide by processing millions of data inputs quickly and with even greater precision. The commitment to a continued partnership comes after an initial six-month trial program, during which Alaska's dispatchers used the new AI-powered flight prediction information to help them plan, monitor, and make recommendations for rerouting flights to avoid issues like congested airspace and bad weather.
NASA's Ingenuity Mars helicopter has survived its sixth flight on the Red Planet, but not everyone went to plan, with some'unexpected motion' in the final few feet. This motion was from an'image processing issue' but the 4lb copter'muscled through' the final 213ft of its 703ft flight over the Martian surface, NASA JPL tweeted. The flight happened last week, on May 22, but NASA said it would be taking more time to review each flight before releasing data after the fifth flight was over, so information on it surviving the'wobble' weren't released until Thursday. Despite the issue the helicopter, currently in a new phase where it is helping Perseverance scout for locations, 'landed safely and is ready to fly again.' The latest trip was designed to expand the flight envelope and demonstrate aerial-imaging capabilities by taking stereo images of a region of interest to the west. Ingenuity climbed 33ft, moved 492ft southwest at 9 mph, travelled 49ft south while capturing images towards the west, before going another 164ft to its landing site.
Alaska Airlines and Airspace Intelligence announce a first-of-its-kind partnership to optimize air traffic flow with artificial intelligence (AI) and machine learning. The first-ever use of artificial intelligence in flight operations control continues Alaska's legacy of innovation, enabling more efficient and sustainable flights. Alaska Airlines has been a leader in implementing flight deck automation. The first foray into cockpit modernization started in 1987 with heads up displays (HUD) to project flight data on the cockpit windows to aid in landing. In 2010, the airline adopted Required Navigation Performance (RNP) to aid in precision landings in Alaska during bad weather.