Stories about artificial intelligence have been with us for decades, even centuries. In some, the robots serve humanity as cheerful helpers or soulful lovers. In others, the machines eclipse their human makers and try to wipe us out. "The Creator," a sci-fi film that hits theaters Friday, turns that narrative around: The United States is intent on wiping out a society of androids in Asia, afraid the artificially intelligent beings threaten human survival. Do any of these stories reflect our real-life future?

Japanese police will begin testing a draconian network of AI-enhanced security cameras -- hoping to stop major crimes before they happen. The pre-crime monitoring tests, reminiscent of the 2002 sci-fi film Minority Report, will intentionally avoid using the tech's'facial recognition' capabilities, according to Japan's National Police Agency. Instead the AI cameras will focus on machine-learning pattern recognition of three types: 'behavior detection' for suspicious activities, 'object detection' for guns and other weapons, and'intrusion detection' for the protection of restricted areas. Japanese police officials said they intend to launch their AI test program sometime during this fiscal year, which ends March 2024 in Japan. While some counterterrorism experts maintain that the new AI-powered cameras will'help to deploy police officers more efficiently' providing'more means for vigilance,' others worry about introducing hidden algorithmic biases into police work.

It may sound like the plot of the 2002 movie Minority Report, but artificial intelligence can predict any arrest within three years of a prisoner being released on parole. The machine learning was designed to determine the risk of releasing a prisoner early by analyzing 91 variables, including age, race and previous arrests. Scientists from The University of California, Davis (UC Davis) used the data of more than 19,000 inmates scheduled with the New York State Parole Board from 2012 to 2015. Court documents show 4,168 individuals were released, but that AI determined the board could have released double the inmates without increasing the subsequent arrest rate. The film, set in 2054, is about a specialized police department that apprehends criminals using foreknowledge provided by three psychics called'precogs.'

Since the beginning of cinema, artificial intelligence has been a recurring theme, enthralling (and frequently terrifying) audiences with the idea of sentient robots capable of matching humanity's distinctive qualities like consciousness and the capacity for emotion. Potential technical developments have been envisioned in various ways over the years. However, science fiction films have also raised issues about the moral, ethical, and societal effects of using technology like AI. The best artificial intelligence movies available to view in 2023 are listed in this article. So let's get started in any order: The novelist and screenwriter Alex Garland's first feature film, "Ex Machina," is a rare and much-welcome departure from that trend. It begins as an unsettling thriller about a young programmer (Domhnall Gleeson) who is drawn to a charismatic Dr. Frankenstein figure (Oscar Isaac).

In situ visualization techniques are hampered by a lack of foresight: crucial simulation phenomena can be missed due to a poor sampling rate or insufficient detail at critical timesteps. Keeping a human in the loop is impractical, and defining statistical triggers can be difficult. This paper demonstrates the potential for using a machine-learning-based simulation surrogate as an oracle to identify expected critical regions of a large-scale simulation. These critical regions are used to drive the in situ analysis, providing greater data fidelity and analysis resolution with an equivalent I/O budget to a traditional in situ framework. We develop a distributed asynchronous in situ visualization by integrating TACC Galaxy with CB-Geo MPM for material point simulation of granular flows.

Steven Spielberg's 2002 sci-fi thriller "Minority Report," in which Tom Cruise is the captain of a state-of-the-art "Precrime" law enforcement division, is still a touchstone for new tech: Self-driving cars are (kind of) here, but we're still waiting on flying cars, jetpacks and more innovations like the ones Spielberg's futurist think tank dreamed up. Here are some of the tech predictions the movie, which was based on the 1956 short story by legendary sci-fi writer Philip K. Dick, got right and some of the things it failed to foresee about the future.

Law enforcement agencies are in a race to identify and regulate new versions of dangerous psychoactive drugs such as bath salts and synthetic opioids, even as clandestine chemists work to synthesize and distribute new molecules with the same psychoactive effects as classical drugs of abuse. Identifying these so-called "legal highs" within seized pills or powders can take months, during which time thousands of people may have already used a new designer drug. But new research is already helping law enforcement agencies around the world to cut identification time down from months to days, crucial in the race to identify and regulate new versions of dangerous psychoactive drugs. "The vast majority of these designer drugs have never been tested in humans and are completely unregulated. They are a major public health concern to emergency departments across the world," says UBC medical student Dr. Michael Skinnider, who completed the research as a doctoral student at UBC's Michael Smith Laboratories.

For some people, cars are a status symbol. In any case, there is a litany of companies developing new features for private vehicles, each building a component that will make cars part of a network of fully autonomous vehicles--perhaps eventually making human drivers redundant. It's a future that was imagined in films like Minority Report, with pods taking people to their destination without the need for human intervention. Here are the most important pieces of cutting-edge technology from China that are already being used in cars and forming the foundation of fully autonomous vehicles. The Chinese government expects 50% of all new auto sales in the country to have partial self-driving technology by 2025, while L2 (assisted steering, acceleration, and braking) and L3 automation (vehicles drive themselves in certain settings, like on highways) are expected to make up 70% of car sales by 2030.

Suggesting that budget cuts have rendered mere human police incapable of doing their jobs without cybernetic help, project lead Iain Donnelly claims working with an AI system will allow the force to do more with less. He insists that the National Data Analytics Solution, as it's called, will target only those individuals already known to have criminal tendencies, sniffing out likely offenders to divert them with therapeutic "interventions," including individuals who are stopped and searched but never arrested or charged. Donnelly claims the program is not designed to "pre-emptively arrest" anyone, but to provide "support from local health or social workers," giving the example of an individual with a history of mental health problems being flagged as a likely violent offender, then contacted by social services. Given that a violent mental case would almost certainly react negatively to being contacted out of nowhere by a mysterious social worker – and that a history of mental health problems is not in itself criminal – Donnelly was wise to end his example there. "Interventions" will be offered only to potential offenders, but the NDAS claims to be able to pick their victims as well.

The Matrix Reloaded, from 2003, used futuristic tech. There's more to futuristic tech in Hollywood than just what is seen in Star Trek or Star Wars, although techies do love a good transponder or tractor beam. Virtual stimulation, mind manipulation and fantastical technology are frequently highlighted in films of the previous decades. The "good" movies involved more than a tired trope of a storyline; those movies were thought provoking, and standouts, at films' release. Were filmmakers offering up what they believed to be a likely view of tech's potential or making it up whole cloth?