Francisco Angulo de Lafuente

The Sniffer (eBook, ePUB)

• Format: ePub

Produktbeschreibung

The sniffer was born as a tool to aid police investigations. Its operating principle was simple: it detected tiny particles left behind by people and objects and could reconstruct past events.

It consisted of a set of sensors capable of detecting infinitesimal amounts of any substance, connected to powerful software that analyzed and interpreted the captured data.

The key was in the algorithms created by young genius Brandon Nelson. By entering DNA samples and other information about the crime scene into the system, the software could determine who was present, what actions they carried out, and in what order the events occurred.

The sniffer obtained samples from the environment, detected drugs, explosives, bodily fluids and microscopic fibers that went unnoticed to the human eye. From a single drop of sweat it could reconstruct a face and identify a suspect.

The first prototype had cables all over the perimeter of the area to analyze. But later versions were portable, the size of a vacuum cleaner. The suction system captured particles which were analyzed in real time.

It was used at first without revealing details to the public. The technology was so advanced that criminals would try to alter results if they knew about it.

Thanks to the sniffer many complicated crimes were solved. Its Bayesian analysis and data crossing avoided tampering and false accusations. The reliability was so high that results were solid evidence in court.

Of course, there was resistance to change. More traditional police criticized relying on a "toy." But over time the sniffer gained prestige by closing previously unsolvable cases.

It revolutionized forensic science. A powerful tool that functioned thanks to Artificial Intelligence through a neural network. In the right hands it brought justice, but in the wrong hands it could plant evidence and incriminate innocents. A double-edged sword that challenged ideas about privacy and security in the information age.

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Produktdetails

• Verlag: The Old Sailboat
• Erscheinungstermin: 15. August 2023
• Englisch
• ISBN-13: 9798223135715
• Artikelnr.: 68603177

Autorenporträt

Francisco Angulo de Lafuente is a Spanish author, programmer, and biotechnology researcher who has carved out a unique niche at the intersection of science and speculative fiction. Born in Madrid in 1976, Angulo combines his technical expertise with a gift for storytelling that has produced an impressive catalog of 39 published works.

With degrees in Computer Engineering and Biotechnology from the Polytechnic University of Madrid, Angulo first gained recognition in the scientific community as the research director of the groundbreaking Ecofa project. His development of second-generation biofuel from bacteria fed with organic waste earned him a patent in 2005 and established him as an innovator in sustainable energy solutions. This revolutionary process, which uses microorganisms to produce biofuel from abundant organic waste materials, demonstrated his ability to think beyond conventional boundariesa skill that would later define his literary career.

Angulo's transition from laboratory to literature has resulted in a prolific output of science fiction novels that blend technical precision with imaginative storytelling. His works, often compared to Jules Verne for their prophetic integration of emerging technologies, explore themes ranging from artificial intelligence and environmental sustainability to post-apocalyptic survival and cyberpunk futures.

Recent acclaimed titles include ApocalipsIA: The Day After AGI (2024), a haunting exploration of artificial general intelligence set in a devastated Madrid; Star Wind: The Pyramid of Destiny (2024), an interplanetary adventure on the alien world of Zephyria; and Shanghai 3 (2024), a cyberpunk thriller set in a mining colony on Europa. His work has garnered international attention, with translations available in multiple languages including Catalan, Danish, and Romanian.

In 2024, Angulo's innovative spirit extended to the tech world when his Enhanced Unified Holographic Neural Network (EUHNN) project, combining ray tracing and CUDA for AI applications, was initially recognized as the winning entry in the NVIDIA and LlamaIndex developer contest, further demonstrating his ability to bridge the gap between theoretical science and practical application.