Self-induced stochastic resonance (SISR) is the emergence of coherent oscillations in slow-fast excitable systems driven solely by noise, without external periodic forcing or proximity to a bifurcation. This work presents a physics-informed machine learning framework for modeling and predicting SISR in the stochastic FitzHugh-Nagumo neuron. We embed the governing stochastic differential equations and SISR-asymptotic timescale-matching constraints directly into a Physics-Informed Neural Network (PINN) based on a Noise-Augmented State Predictor architecture. The composite loss integrates data fidelity, dynamical residuals, and barrier-based physical constraints derived from Kramers' escape theory. The trained PINN accurately predicts the dependence of spike-train coherence on noise intensity, excitability, and timescale separation, matching results from direct stochastic simulations with substantial improvements in accuracy and generalization compared with purely data-driven methods, while requiring significantly less computation. The framework provides a data-efficient and interpretable surrogate model for simulating and analyzing noise-induced coherence in multiscale stochastic systems.

Breakthroughs, discoveries, and DIY tips sent every weekday. If you recently received a voice message from an unusual number claiming to be your local congressperson, it's probably a scam. The FBI's crime division issued a warning this week about a new scheme in which bad actors use text messages and AI-generated voice clones to impersonate government officials. The scammers try to build a sense of connection with their target and eventually convince them to click on a malicious link that steals valuable login credentials. This scam is just the latest in a series of evolving attacks using convincing generative AI technology to trick people.

New deep fakes are all over the internet -- and you won't believe the new ones Raymond Arroyo has located. The trial has begun of a Democratic political consultant who has admitted to sending artificial intelligence (AI) generated robocalls mimicking President Biden ahead of the 2024 New Hampshire primary. Steve Kramer faces a 6 million fine and more than two dozen criminal charges after he hired a magician to create a deepfake of President Biden urging New Hampshire voters not to participate in the primary. The fines, proposed by the Federal Communications Commission (FCC), are the first involving AI technology. Former president Joe Biden speaks on the phone during a National Small Business Week event in the Rose Garden of the White House in Washington, DC, on May 1, 2023, left.

The Federal Communications Commission (FCC) has officially issued its full recommended fine against political consultant Steve Kramer. This is after he initiated a series of robocalls to New Hampshire residents with pre-recorded audio of President Biden's voice, using deepfake AI technology. The fake Biden told voters not to vote in the upcoming primary, saying "Your vote makes a difference in November, not this Tuesday." Kramer must pay 6 million in fines in the next 30 days or the Department of Justice will handle collection, according to a FCC statement. Kramer doesn't just face a fine; he also has criminal charges against him.

The Federal Communications Commission (FCC) has officially issued its full recommended fine against political consultant Steve Kramer for a series of illegal robocalls using deepfake AI technology and caller ID spoofing during the New Hampshire primaries. Kramer must pay 6 million in fines in the next 30 days or the Department of Justice will handle collection, according to a FCC statement. Kramer violated the Truth in Caller ID Act passed in 2009 that prohibits anyone from "knowingly transmit misleading or inaccurate caller identification information with the intent to defraud, cause harm or wrongfully obtain anything of value," according to legislative records. The law preceded the widespread usage of AI, but the FCC voted unanimously to have it apply to such deepfakes this past February. The phony robocalls delivered pre-recorded audio of President Biden's voice using deepfake AI technology to New Hampshire residents leading up to the 2024 presidential primary election.

What jumps to mind when you think about the impending AI apocalypse? If you're partial to sci-fi movie cliches, you may envisage killer robots (with or without thick Austrian accents) rising up to terminate their hubristic creators. Or perhaps, a la The Matrix, you'll go for scary machines sucking energy out of our bodies as they distract us with a simulated reality. For Yuval Noah Harari, who has spent a lot of time worrying about AI over the past decade, the threat is less fantastical and more insidious. "In order to manipulate humans, there is no need to physically hook brains to computers," he writes in his engrossing new book Nexus.

This article was featured in the One Story to Read Today newsletter. "About 14 billion years ago, matter, energy, time and space came into being." So begins Sapiens: A Brief History of Humankind (2011), by the Israeli historian Yuval Noah Harari, and so began one of the 21st century's most astonishing academic careers. Sapiens has sold more than 25 million copies in various languages. Since then, Harari has published several other books, which have also sold millions. He now employs some 15 people to organize his affairs and promote his ideas. Check out more from this issue and find your next story to read. Harari might be, after the Dalai Lama, the figure of global renown who is least online.

A company that sent deceptive calls to New Hampshire voters using artificial intelligence to mimic Joe Biden's voice agreed on Wednesday to pay a 1m fine and bolster its caller identification and authentication features, US regulators said. Lingo Telecom, the voice service provider that transmitted the robocalls, agreed to the settlement to resolve enforcement action taken by the Federal Communications Commission, which had initially sought a 2m fine. Meanwhile Steve Kramer, a political consultant who orchestrated the calls, still faces a proposed 6m FCC fine as well as state criminal charges. The case is seen by many as an unsettling early example of how AI might be used to influence groups of voters and democracy as a whole. The phone messages were sent to thousands of New Hampshire voters on 21 January.

In January, calls using an AI-generated voice imitating President Biden instructed voters not to take part in the New Hampshire Primary. Now, as the 2024 election nears, the Federal Communications Commission is sending a message by further cracking down on those responsible for the Biden deepfake. Lingo Telecom, which transmitted the fraudulent calls, will pay the FCC a 1 million civil penalty and must demonstrate and implement a compliance plan. In response to the settlement, The Enforcement Bureau Chief Loyaan A. Egal stated, "..the potential combination of the misuse of generative AI voice-cloning technology and caller ID spoofing over the U.S. communications network presents a significant threat. This settlement sends a strong message that communications service providers are the first line of defense against these threats and will be held accountable to ensure they do their part to protect the American public."

On January 21, Patricia Gingrich was about to sit down for dinner when her landline phone rang. The New Hampshire voter picked up and heard a voice telling her not to vote in the upcoming presidential primary. "As I listened to it, I thought, gosh, that sounds like Joe Biden," Gingrich told Al Jazeera. "But the fact that he was saying to save your vote, don't use it in this next election -- I knew Joe Biden would never say that." The voice may have sounded like the United States president, but it wasn't him: It was a deepfake, generated by artificial intelligence (AI).