Publisher's Synopsis
Can AI finally crack the case that has stumped investigators for over 50 years?
On November 24, 1971, a man known as D.B. Cooper hijacked a commercial flight, demanded $200,000 in cash, and parachuted into the night-never to be seen again. Despite decades of investigation, his identity remains a mystery.
In Can AI Solve It? D.B. Cooper, Dr. Hal Rowan applies cutting-edge AI analysis to the case. Using a rigorous 51% threshold, each chapter examines key evidence: witness descriptions, the daring escape, the fate of the ransom money, and forensic clues. At the end of the journey, the AI model delivers a probability-based verdict, revealing the suspect who emerges as the most likely D.B. Cooper-at a 68% probability.
Will modern AI finally unravel one of America's greatest unsolved mysteries? Join us on this journey through data, evidence, and possibility. The truth is out there-and AI is determined to find it.
