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Artificial Intelligence

Understanding Artificial Intelligence: A Simplified Explanation

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What exactly is artificial intelligence?
Artificial intelligence (AI) encompasses a range of computer technologies and techniques that mimic the brain’s capacity to learn, enabling the resolution of intricate problems.

AI enables computers to identify patterns concealed within vast amounts of data, resolve issues, and adapt to real-time process changes at a significantly accelerated pace compared to humans.

Researchers harness the power of AI to enhance their problem-solving capabilities in the realms of science, medicine, and technology, thereby accelerating the pace of discovery in these fields. From understanding how COVID-19 affects the human body to finding solutions for managing traffic congestion, a wide range of challenges can be tackled.

Several Department of Energy (DOE) facilities, such as Argonne National Laboratory, contribute to the development of cutting-edge AI technologies. Today, they are utilized in a wide range of fields, including chemistry, environmental and manufacturing sciences, medicine, and the study of the universe.

AI is utilized to assist in creating models of intricate systems, such as engines or weather patterns, and anticipate potential outcomes if specific components of those systems are altered. For instance, it can predict the effects of using a different fuel or a gradual increase in temperatures.

However, AI has numerous other applications.

One valuable asset in Argonne’s arsenal of AI techniques is machine learning, a method that improves its intelligence and accuracy with more data to learn from. Machine learning is incredibly effective at detecting and isolating specific objects within complex and cluttered images.

As an example, a machine learning model was trained to identify the key characteristics of cats and dogs by exposing it to numerous images. Afterwards, the model successfully recognized cats and dogs from images containing a combination of different animals.

Machine learning models can assist scientists in distinguishing different types of galaxies by analyzing object-packed images received from space telescopes.

Machine learning is a valuable AI technique that enhances our ability to learn with speed and precision. They have the ability to assist in selecting the appropriate molecule or chemical for a novel material and potentially even independently direct future experiments.

Argonne has collaborated with numerous organizations globally to establish itself as a frontrunner in the field of artificial intelligence. This has involved the application of AI to various areas:

  • Optimize battery performance for vehicles and energy storage
  • Develop more advanced climate models capable of accurately forecasting wildfires, hurricanes, and other catastrophic events, enabling us to safeguard our communities and power companies from their devastating impacts
  • Identify the components of viruses that target our cells and create medications to combat their effects

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What exactly is artificial intelligence?
Examining vast amounts of intricate data to accomplish tasks with the efficiency of a computer.

Artificial intelligence (AI) has become an integral part of our everyday lives, making tasks like voice recognition, content recommendations, and photo searches much simpler. Researchers are utilizing AI in comparable ways to enhance our comprehension of the world around us. It enables them to analyze large amounts of data more efficiently, resulting in improved solutions. AI techniques are widely utilized across various research domains, spanning from materials science and medicine to climate change and the cosmos.

As an information security analyst, one can train AI to recognize complex patterns by viewing a wide range of examples. Researchers can utilize this capability to discover novel and enhanced materials for applications such as solar cells or medicine through the utilization of AI trained on existing materials. With the assistance of AI, researchers can efficiently identify and focus on other potential materials that can be synthesized and examined in a controlled laboratory setting.

As Editor here at GeekReply, I'm a big fan of all things Geeky. Most of my contributions to the site are technology related, but I'm also a big fan of video games. My genres of choice include RPGs, MMOs, Grand Strategy, and Simulation. If I'm not chasing after the latest gear on my MMO of choice, I'm here at GeekReply reporting on the latest in Geek culture.

Artificial Intelligence

Reddit is currently conducting a trial to automatically translate the entire website into French using AI technology based on LLM

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Reddit, which is now a publicly-traded company and subject to increased scrutiny regarding its revenue growth, is placing significant emphasis on expanding its international user base, beginning with targeting French-speaking individuals. During the company’s inaugural earnings call, CEO Steve Huffman verified that the company is presently engaged in developing real-time automatic translations of the site’s content into French, utilizing advancements in large language models.

In addition, he mentioned the expansion of the ecosystem through a few reversals in direction. Reddit aims to attract developers by offering new tools, which is unexpected considering its past approach in this area. Additionally, the company plans to reintroduce Reddit Gold, a virtual currency that it discontinued less than a year ago, which is also surprising.

These moves involve predicting the potential future of Reddit rather than focusing on its current state. Currently, the news regarding Reddit is quite positive. In the previous quarter, their revenue increased by 48% compared to the same period last year, reaching $243 million. Additionally, the number of unique users grew by 37%, reaching a total of 82.7 million. (This number encompasses both users who are currently logged in and those who are not, following a similar method that Twitter, now referred to as X, used to calculate its audience when it was publicly accessible.)

Expansion of user base and language localization
During the earnings call, Huffman stated that 50% of Reddit’s audience is located in the United States. This indicates that the company is prioritizing efforts to enhance its international presence.

“Our ratio of U.S. to non-U.S. is still 50/50, but our peers have a much higher percentage of non-U.S. members, ranging from 80% to 90%,” he stated. “I believe there is a significant opportunity available.” He proceeded to characterize automatic, AI-powered translation as “one of the significant breakthroughs for us in the near to medium future.”

“Today, we are translating our complete collection of texts, which is primarily in English, into other languages. We anticipate that this will contribute to the rapid expansion of our international presence,” he stated.

Despite the substantial allocation of resources, the speaker described the site-wide translation effort as being in a testing phase right now. Huffman observed that the content is also being included in the search results of Google for the French language, thereby increasing the number of visitors to the website. The company’s next objective is to address the Spanish language.

Reddit has been providing post-based translation since last year, supporting a total of eight languages.

Software development tools
Hearing Huffman discuss developer tools on the call felt unreal. In July 2023, the company became involved in a significant dispute with third-party client developers due to changes in the API. This led to the blackout of numerous subreddits as a form of protest against the API changes.

Currently, the social network is operating in a mode where users are expected to behave in a respectful and cooperative manner. Huffman stated that there are intentions to develop tools that have the potential to expand the limits of what a subreddit can encompass. He provided illustrations of current experiments, such as real-time scores displayed on certain sports subreddits and a live stock ticker on r/wallstreetbets, the subreddit famous for the Gamestop stock controversy.

According to him, several hundred developers are currently conducting tests on these new experiences. Reddit plans to expand its developer base by inviting more individuals from the waitlist to join this summer. Additionally, the platform intends to introduce monetization capabilities later in the year.

Additional notifications
In a recent agreement, Reddit and Google have partnered to allow the search engine giant access to the social network’s data. Huffman stated that the company intends to grant licenses to other companies for the use of their data. This has been a significant matter, often generating controversy, as users may express reluctance towards their data being utilized for purposes such as AI training or other prevalent applications. Huffman emphasized that the company is being discerning and careful in its partner selection process.

The current focus of the company is to expand its infrastructure in order to generate more revenue. Although Gold and another blockchain-based currency called community points were discontinued last year, Reddit is considering reintroducing virtual currency on its platform. This move is seen as an opportunity for Reddit to expand and diversify its business model. During the earnings call, the company announced its intention to introduce an upgraded Gold product, featuring new programs that allow users to both spend and earn money on the platform.

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Artificial Intelligence

In “Dogfighting” Test Flight, AI Fighter Jet Faces Humans

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In a recent practice dogfight, a fighter jet run by artificial intelligence (AI) faced off against a jet run by a human.

The ground-breaking test flight happened in September 2023, but DARPA’s Air Combat Evolution program just recently released video of it.

The video depicts two planes performing a variety of “dynamic combat maneuvers,” such as dogfighting positions nose-to-nose, while flying at 1,931 kilometers per hour (1,200 miles per hour).

For the US Air Force Test Pilot School, Lockheed Martin Skunk Works and Calspan Corporation created the one-of-a-kind AI-guided plane model.

The project was first made as a simulator to help train pilots. It was called the X-62A or VISTA (Variable In-flight Simulator Test Aircraft). The first software had AI, but it could only work in the virtual world, making it more like a very realistic video game.

And things changed in December 2022, when the AI agents were put in charge of a real plane, letting it fly along a flight path on its own. Since then, it has done a lot of real-life test flights and a lot of practice flights, getting ready for its ultimate goal: fighting within visual range, also known as “dogfighting.”

“DARPA looked for the hardest kind of problem it could find when it came to this one, and dogfighting is a great example of how machine learning can be used.” Colonel James Valpiani, commandant of the Air Force Test Pilot School, said in the video, “If machine learning can work well in an environment as dangerous as air-to-air combat, it has a great chance to earn the trust of humans as we look to applications that are less dangerous but equally complex.”

On May 2, 2024, US Secretary of the Air Force Frank Kendall flew on the X-62A jet on an AI-guided flight. This was another sign of the program’s progress.

To not have it is to risk your safety. “We have to have it now,” Kendall told the AP when they got off the plane.

It’s possible that AI-assisted weapons will be more accurate than human-guided ones. This could mean fewer civilian deaths, damage, and friendly fire. But this uncharted territory brings up a lot of legal, moral, security, and humanitarian problems. One big question is whether it is safe or right to leave most of the decision-making about life and death to sensors and software, which are basically killer robots, with little human oversight. Another question is whether AI systems can be held responsible if something goes wrong.

This kind of question still hasn’t been answered, and some people have called for strict rules on militarized AI before it gets out of hand. However, some people think that the AI arms race has already begun and shows no signs of stopping.

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Artificial Intelligence

United Airlines use artificial intelligence (AI) to enhance the flying experience and make it more convenient

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Upon entering a United Airlines aircraft, the gate agents, flight attendants, and other personnel responsible for ensuring the timely departure of your trip engage in a chatroom where they coordinate various tasks that, ideally, you as a passenger will remain oblivious to. Is there still available capacity for carry-on luggage? Was the caterer able to provide the absent orange juice? Is there a method to ensure that a family can be seated together?

Upon a flight delay, a notification containing a detailed explanation will be sent via text message and will also be available on the United app. Typically, the message is generated using artificial intelligence. Meanwhile, at offices worldwide, dispatchers are analyzing this up-to-the-minute data to guarantee that the crew can still lawfully operate the aircraft without violating FAA restrictions. Recently, United activated their artificial intelligence customer support chatbot.

Jason Birnbaum, appointed as United’s Chief Information Officer in 2022, oversees a workforce of more than 1,500 employees and over 2,000 contractors who are accountable for all the technological aspects of the company’s operations.

“The aspect of our business that I find enjoyable is the same aspect that you find displeasing,” he expressed during our recent conversation. “I worked at GE for an extended period of time in the appliance industry. If we were absent for a day, I doubt anyone would take notice.” The statement would be: ‘The production of dishwashers is not proceeding well.’ However, it lacked newsworthiness. Currently, in the event of any occurrence, even if it lasts for a mere 15 minutes, it not only spreads rapidly throughout various social media platforms but also prompts press vehicles to converge at the airport.

Prior to joining United, Birnbaum accumulated 16 years of experience at GE, progressing from the role of technology manager to ultimately serving as the Chief Information Officer of GE Consumer and Industrial, located in Budapest. In 2009, he assumed the role of Chief Information Officer for GE Healthcare Global Supply Chain. In 2015, he became the Senior Vice President of Digital Technology at United. In this role, he oversaw the implementation of projects such as ConnectionSaver, which is one of United’s initial services that utilizes artificial intelligence and machine learning. ConnectionSaver is designed to proactively delay flights when passengers have limited time between connections. This service personally saved me from spending 12 hours at San Francisco International Airport last week.

I desired to engage in a conversation with Birnbaum regarding his thoughts, as well as those of other Chief Information Officers (CIOs) at multinational corporations, on the utilization of artificial intelligence (AI). The airline is exploring that particular domain of innovation. Prior to discussing AI, it is important to note that United is now in the process of transitioning its services to the cloud. The current trend in cloud computing revolves around the optimization of cloud infrastructure and cost reduction.

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“I am beginning to notice the emergence of companies and startups that focus on optimizing and managing cloud services.” Many individuals are currently concerned with inquiries such as, ‘Do you possess a substantial amount of data that I can optimize storage for?’ Alternatively, ‘You have a multitude of new applications; may I assist you in enhancing your monitoring capabilities?’ “Due to the obsolescence of your previously utilized tools,” he stated. According to him, the era of digital transformation may have come to an end, and we have now entered the era of cloud optimization.

United Airlines has made significant investments in cloud computing, notably Amazon Web Services (AWS), which it has chosen as its preferred cloud provider. Not unexpectedly, United is also examining how the company might enhance its cloud utilization, considering both cost and dependability factors. For many firms undergoing this process, it also involves assessing developer productivity and incorporating automation and DevOps approaches. “We have arrived.” “While we already have a well-established presence in the cloud, we are now actively seeking ways to further optimize our operations,” Birnbaum stated.

However, this also relates to the dependability of the matter. Similar to other airlines, United continues to utilize numerous legacy systems which remain functional. “To be honest, we are extremely cautious as we progress through this process, ensuring that we do not interfere with the operation or cause harm to ourselves,” he stated.

United has previously migrated and deactivated numerous legacy systems, and this process is still in progress. In the upcoming months, the corporation plans to deactivate a substantial Unisys-based system. However, Birnbaum maintains the belief that United will persist in utilizing on-premises technology. “I simply desire to be in the optimal locations for applications and user experience,” he stated, whether it is for reasons of performance, privacy, or security.

However, the corporation is not attempting to develop a comprehensive United Platform that would manage all of its systems. According to Birnbaum, the day-to-day operations of airlines are too complex to simplify. Certain platforms oversee the management of bookings, ticketing, and bag tracking, while others specifically deal with crew assignments.

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When a malfunction occurs, it is imperative for such systems to collaborate seamlessly and operate with minimal delay. That is the reason why United is placing its trust in a single cloud supplier. “I do not anticipate that we will have a single platform,” Birnbaum stated. “I believe we will become highly proficient in establishing connections between objects and enabling seamless communication between applications.”

Practically speaking, this implies that the crew can now track the caterer’s arrival time and the individuals who have completed the check-in process for the flight. The ground teams and flight attendant crews have the ability to observe all of that information via their internal chat application as well.

Each flight possesses an artificial intelligence narrative.
Amidst the ongoing development, United is also exploring the most effective ways to utilize artificial intelligence (AI).

An anecdote frequently recounted regarding AI/ML in major corporations is that ChatGPT did not fundamentally alter the mindset of technologists but rather prompted its rapid inclusion in boardroom deliberations. The same applies to United as well.

“Our AI practice was quite advanced,” Birnbaum responded when questioned about the moment he recognized the importance of generative AI. “We have developed numerous functionalities to effectively handle models, perform tuning, and other related tasks.” Fortunately, we had previously made a substantial investment in this skill, which was advantageous for us. The arrival of ChatGPT did not necessitate that we treat it seriously. The person inquiring about the matter was the CEO and the board, who expressed a sudden interest in obtaining further information.

Birnbaum stated that United has a strong and optimistic outlook on artificial intelligence. “The travel industry offers numerous opportunities for the application of AI, benefiting both customers and employees.” One example of such a campaign is United’s “Every flight has a story.”

Until recently, it was common to receive a notification regarding a flight delay without any other details. Perhaps the arrival of the flight was postponed. Perhaps there was a technical malfunction. In recent years, United Airlines has implemented the use of agents to compose concise notifications that elucidate flight delays. These notifications are disseminated through the airline’s mobile application and as text messages. Currently, the majority of these messages are generated by artificial intelligence, with data being sourced from the chat app and other platforms.

Similarly, United is considering the utilization of generative AI to condense flight information for its operations personnel, enabling them to obtain a concise summary of ongoing events.

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Recently, United completely transitioned their chat system on United.com to an artificial intelligence agent as well. According to Birnbaum, the system felt significantly restricted in my personal experiments, but it is merely an initial step.

Notably, Air Canada previously employed an AI bot that occasionally provided incorrect responses, but Birnbaum expressed less concern regarding this matter. Technically, the bot utilizes United’s knowledge library to effectively manage hallucinations. “However, in my opinion, the Air Canada incident was not a failure of technology but rather a failure of customer service. I would like to refrain from commenting extensively, but I must point out that even today, our human agents also provide incorrect answers.” We simply need to confront and accept that situation and proceed. “I believe we are adequately prepared for that particular situation,” Birnbaum stated.

United intends to introduce a tool later this year, now referred to as “Get Me Close.” Frequently, in the event of a delay, consumers are inclined to modify their arrangements in order to transfer to a neighboring airport. On one occasion, United Airlines transferred me to an aircraft bound for Amsterdam when my original ticket to Berlin was cancelled. Although not in close proximity, it was nonetheless feasible for me to take a train and successfully moderate a keynote session the next morning.

Although our mobile solutions are highly effective, the interactions between individuals often focus on creating a wider range of choices when they engage in face-to-face conversations. Essentially, you are asking if it is possible to change your destination from New York to Philadelphia due to a flight delay. Can you bring me near? We are of the opinion that AI is very suitable for facilitating engagement.

Artificial intelligence for pilots?
Following the development of the automated system that generates delay “stories” within the application, Birnbaum’s team is currently contemplating potential applications for the same generative AI technology. One aspect that can be addressed is the concise pre-flight briefings often provided by pilots before takeoff.

“A pilot approached me and mentioned that some pilots excel at using the public address system to greet passengers and provide information about the flight to Las Vegas.” The individual inquired if it would be possible to develop an artificial intelligence system that assists introverted pilots in creating informative and engaging announcements regarding their flight destinations. “And I believed that was an excellent example of practical application.”

Pilot engagement is revealed to be a significant factor in determining customer happiness for airlines. In recent years, United Airlines has shifted its attention towards improving its Net Promoter score. As part of this effort, the airline instructed its pilots to make announcements on flight delays while positioned at the front of the aircraft cabin. It is logical for the airline to examine how it can enhance this vital contact while also considering the possibility of pilots deviating from the planned course of action.

Generative AI can also assist pilots by condensing intricate technical documents into concise summaries. However, as Birnbaum correctly pointed out, all aspects of the pilot’s role in flying the plane are extensively organized and controlled, so it will take some time before the airline introduces any new initiatives in that area.

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