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How AI is helping Alaska Airlines plan better flight routes and lower emissions  – Alaska Airlines News

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How AI is helping Alaska Airlines plan better flight routes and lower emissions  – Alaska Airlines News


Planning a trip can be complex with so many factors to think about, such as weather, routes, timing and efficiency. Here at Alaska, we sift through tons of data to make sure every flight is safe and efficient. As part of the ongoing journey to innovate and ensure a great travel experience for our guests, we’ve renewed our partnership with Air Space Intelligence (ASI). They use artificial intelligence to optimize flight paths and cut down on emissions via their Flyways AI Platform.  

ASI’s Flyways AI Platform utilizes advanced algorithms and machine learning to analyze vast amounts of data, including weather patterns, winds, turbulence, airspace constraints and air traffic volume. Flyways AI then generates optimized route recommendations for dispatchers and pilots that are safe, ATC compliant, minimize fuel consumption, reduce flight time and avoid potentially congested airspace. Additionally, the Flyways Dispatch application offers real-time insights and decision-making support to our dispatchers, empowering them to proactively manage flights and respond to events before they have the potential to impact flights.

Being a dispatcher requires attention to detail, problem-solving skills, and quick thinking. Our incredible dispatchers are responsible for planning and monitoring every flight, ensuring the safety and comfort of our guests and crew. It can be challenging to deal with unpredictable factors like weather, traffic, and timing, but we always strive to find the best solutions,” said Captain Bret Peyton, managing director of network operations control, Alaska Airline. “That’s why we are grateful to have Flyways AI to help us optimize our routes, save fuel, and reduce carbon emissions. Flyways AI gives us more confidence and flexibility in our decisions and allows us to focus on delivering excellent service to our guests.” 

For the last four years, we have utilized the Flyways AI platform and the Dispatch application in our Network Operations Center to optimize flight routes, reduce fuel consumption and carbon emissions, as well as improve on-time arrivals. On average Flyways AI has presented optimization opportunities for 55 percent of Alaska’s flights and delivered three to five percent fuel savings and emissions reductions for flights longer than four hours. Specifically last year, optimized routes using Flyways saved over 1.2 million gallons of fuel, equivalent to 11,958 megatons of CO2 emissions. The savings Flyways delivers helps us work toward our near-term goal of being the most fuel-efficient U.S. airline by 2025, and long-term goal of net zero carbon emissions by 2040.  

We are excited to continue working with ASI to expand the use of Flyways AI across our network and explore new ways to leverage AI to enhance our operations and service. We believe that Flyways is a game-changer for the aviation industry and a win-win for our guests, our employees and our planet. 



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Alaska

Alaska Air National Guard rescues injured snowmachiner near Cooper Landing

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Alaska Air National Guard rescues injured snowmachiner near Cooper Landing


 

An Alaska Air National Guard HH-60W Jolly Green II helicopter, assigned to the 210th Rescue Squadron, 176th Wing, returns to Joint Base Elmendorf-Richardson, Alaska, after conducting a rescue mission for an injured snowmachiner, Feb. 21, 2026. The mission marked the first time the AKANG used the HH-60W for a rescue. (U.S. Air National Guard photo by Staff Sgt. Joseph Moon)

Alaska Air National Guard personnel conducted a rescue mission Saturday, Feb. 21, after receiving a request for assistance from the Alaska State Troopers through the Alaska Rescue Coordination Center.

The mission was initiated to recover an injured snowmachiner in the Cooper Landing area, approximately 60 air miles south of Joint Base Elmendorf-Richardson. The Alaska Air National Guard accepted the mission, located the individual, and transported them to Providence Alaska Medical Center in Anchorage for further medical care.

The mission marked the first search and rescue operation conducted by the 210th Rescue Squadron using the HH-60W Jolly Green II, the Air Force’s newest combat rescue helicopter, which is replacing the older HH-60G Pave Hawk. Guardian Angels assigned to the 212th Rescue Squadron were also aboard the aircraft and assisted in the recovery of the injured individual.

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Good Samaritans, who were on the ground at the accident site, deployed a signal flare, that helped the helicopter crew visually locate the injured individual in the heavily wooded area.
Due to the mountainous terrain, dense tree cover, and deep snow in the area, the helicopter was unable to land near the patient. The aircrew conducted a hoist insertion and extraction of the Guardian Angels and the injured snowmachiner. The patient was extracted using a rescue strop and hoisted into the aircraft.

The Alaska Air National Guard routinely conducts search and rescue operations across the state in support of civil authorities, providing life-saving assistance in some of the most remote and challenging environments in the world.



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Alaska House advances bill to boost free legal aid for vulnerable Alaskans

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Alaska House advances bill to boost free legal aid for vulnerable Alaskans





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Marten visits are a glimpse into mystery

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Marten visits are a glimpse into mystery


A trapper fresh out of the Cosna River country in Interior Alaska said he can’t believe how many martens he had caught in a small area so far this winter.

Friends are talking about the house-cat size creatures visiting their wood piles and porches. Could this be a boom in the number of these handsome woodland creatures?

Since the late 1970s, the University of Alaska Fairbanks’ Geophysical Institute has provided this column free in cooperation with the UAF research community. Ned Rozell is a science writer for the Geophysical Institute. Portions of this story appeared in 2000.



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