10 examples where AI proved to be a game-changer
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Here, AI totally crushed it!
AI has rapidly evolved over the past few years, significantly impacting various fields by providing innovative solutions to complex challenges. Its ability to process vast amounts of data and identify patterns that are often invisible to human eyes has enabled groundbreaking discoveries.
Below are ten specific examples from recent years where AI has truly been a game-changer, transforming industries ranging from archaeology to agriculture.
1. Reading the En-Gedi scroll
(Image credit: https://www2.cs.uky.edu)
In 2016, researchers at the University of Kentucky used AI to read the charred En-Gedi Scroll, a manuscript from around the 3rd or 4th century AD. The scroll, too fragile to unroll, was scanned using advanced imaging techniques. AI algorithms then reconstructed the text hidden within the scroll, revealing portions of the Book of Leviticus from the Bible. This breakthrough allowed scholars to study ancient texts without risking further damage to these invaluable artifacts.
The successful application of AI in this project has inspired similar efforts to decode other ancient, damaged manuscripts worldwide. As a result, historians now have new opportunities to uncover lost knowledge from the past. This technological advancement also highlights the potential of AI to revolutionize the field of archaeology and historical research.
In 2017, NASA, in collaboration with Google, utilized deep learning algorithms to analyze data from the Kepler Space Telescope. Traditional methods had missed the signals of two exoplanets in the Kepler-90 system, but AI successfully identified them by detecting minute variations in starlight caused by planetary transits. This demonstrated AI’s capability to sift through enormous datasets and uncover new worlds that had previously gone unnoticed.
The discovery marked the first known system to host as many planets as our own solar system, highlighting the vast potential of AI in astronomical research. Moreover, this collaboration set the stage for future AI-driven discoveries, paving the way for more efficient and accurate space exploration. As AI continues to evolve, it promises to unlock even more secrets of the universe, expanding our understanding of distant star systems and the potential for life beyond Earth.
3. Solving protein structures with AlphaFold
In 2020, DeepMind’s AlphaFold revolutionized the field of structural biology by accurately predicting the 3D shapes of proteins based on their amino acid sequences. This had been one of the most significant challenges in biology, known as the “protein folding problem.” AlphaFold’s predictions are comparable to those obtained through experimental methods like X-ray crystallography, dramatically accelerating drug discovery and biotechnological research.
Remarkably, AlphaFold was able to predict the structures of proteins that had eluded scientists for decades, providing insights into diseases and potential treatments. The system’s accuracy was so profound that it achieved a median global distance test (GDT) score of 92.4 out of 100, an unprecedented level of precision in the field. This breakthrough is already influencing areas like enzyme design, where understanding protein structures is critical, and is expected to play a pivotal role in addressing global health challenges, including future pandemics.
4. Optimizing logistics with DHL
(Image credit: https://www.dhl.com)
DHL has implemented AI to optimize its global logistics network. By analyzing traffic patterns, weather conditions, and warehouse locations, AI helps DHL optimize delivery routes, reducing fuel consumption and delivery times. This leads to significant cost savings and improved operational efficiency. Additionally, AI aids in demand forecasting, allowing for better inventory and resource management.
The use of AI also enables DHL to predict potential disruptions in the supply chain, such as delays due to extreme weather or unforeseen events, allowing the company to proactively adjust operations. Furthermore, AI-driven automation in DHL’s sorting facilities has accelerated package processing, enhancing the overall speed and accuracy of shipments. This comprehensive adoption of AI not only strengthens DHL’s competitive edge but also contributes to a more sustainable logistics model by minimizing environmental impact.
5. Identifying Fast Radio Bursts (FRBs) with breakthrough listen
(Image credit: Danielle Futselaar/artsource.nl)
In 2019, scientists at Breakthrough Listen used AI to identify dozens of new Fast Radio Bursts (FRBs)—brief, intense pulses of radio waves from distant galaxies. Traditional analysis methods had overlooked these signals, but AI detected them by learning the patterns associated with FRBs in massive datasets. This discovery has expanded our understanding of these mysterious cosmic events.
The AI system uncovered 72 previously undetected FRBs from a single source, known as FRB 121102, significantly increasing the total number of known FRBs at the time. This breakthrough has provided astronomers with new insights into the origins and nature of FRBs, which remain one of the most enigmatic phenomena in astrophysics. Additionally, the use of AI in this context has set a precedent for its application in searching for other elusive signals in the cosmos, potentially aiding in the discovery of new astrophysical phenomena or even signs of extraterrestrial intelligence.
6. Enhancing sports analysis with IBM Watson
(Image credit: https://www.ibm.com/watson)
IBM Watson’s AI was employed during the Wimbledon tennis tournament to analyze match footage in real-time. AI identified key moments in matches, such as aces and breaks of serve, and generated personalized highlights for fans. Additionally, Watson analyzed player performance data, providing valuable insights to coaches and analysts to help refine match strategies.
7. Tracking the COVID-19 pandemic with BlueDot
(Image credit: https://bluedot.global)
BlueDot, a Canadian company, used AI to detect the initial outbreak of COVID-19 in Wuhan, China, in December 2019. By analyzing global data from news reports, airline ticketing data, and public health databases, BlueDot’s AI predicted the spread of the virus before it was officially recognized as a pandemic. This early warning system proved crucial in the global response to the outbreak.
BlueDot identified the emerging threat nine days before the World Health Organization issued its first public warning about the virus. The AI-driven insights also accurately predicted the cities where the virus would likely spread next, enabling authorities to take preemptive measures. BlueDot’s success in this instance underscores the potential of AI in pandemic preparedness and highlights the importance of integrating advanced technology in global health monitoring systems.
8. Accelerating vaccine development with Moderna
Photo by Hakan Nural on Unsplash
Moderna utilized AI to speed up the design of its mRNA COVID-19 vaccine. AI algorithms analyzed the genetic sequence of the SARS-CoV-2 virus, identifying the most promising segment of mRNA to trigger an immune response. This dramatically shortened the timeline from sequencing the virus to beginning clinical trials, making it one of the fastest vaccine developments in history.
Google’s DeepDream, an AI tool, generates surreal, psychedelic images by identifying and enhancing patterns within existing photos. DeepDream uses neural networks trained on vast image datasets to “dream” new visuals, inspiring artists to explore AI as a new medium for creativity. This project has pushed the boundaries of digital art and sparked discussions about the role of AI in creative processes.
The unique, dream-like images created by DeepDream have become iconic, influencing not just digital artists but also musicians, filmmakers, and designers. Additionally, DeepDream’s underlying technology has provided valuable insights into how neural networks interpret and process visual data, contributing to advancements in AI research. The tool has also raised philosophical questions about the nature of creativity, challenging traditional notions of authorship and artistic expression in the age of artificial intelligence.
10. Improving agricultural efficiency with Blue River Technology
Blue River Technology, acquired by John Deere, developed the “See & Spray” system, which uses AI to identify and selectively spray herbicides on weeds. The AI system analyzes images of crops in real-time, distinguishing between plants and weeds, allowing for precise application of chemicals. This reduces the overall use of herbicides, lowers costs, and minimizes environmental impact, representing a significant advancement in sustainable agriculture.
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Summary
These examples illustrate the transformative power of AI across various industries. From unraveling ancient texts and discovering new planets to advancing medical research and optimizing logistics, AI continues to push the boundaries of what is possible.
The future of AI holds immense potential, and these examples are just the beginning of its impact on our lives and industries.
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