New York, May 14: In an era of Machine Learning (ML)-enabled hacking, in which Artificial Intelligence (AI) technology is trained to "learn" and model inputs and outputs, a new chip-based technology termed as a "black box" can thwart hackers' plans, say researchers.
According to Computer Science Professor Dmitri Strukov from the University of California-Santa Barbara, he and his team were looking to put an extra layer of security on devices.
The result is a chip that deploys "ionic memristor" technology.
Key to this technology is the memristor, or memory resistor -- an electrical resistance switch that can "remember" its state of resistance based on its history of applied voltage and current.
A circuit made of memristors results in a "black box" of sorts, as Strukov called it, with outputs extremely difficult to predict based on the inputs.
"You can think of it as a black box. Due to its nature, the chip is physically unclonable and can, thus, render the device invulnerable to hijacking, counterfeiting or replication by cyber-criminals," said Strukov in a paper which appeared in the journal Nature Electronics.
With ML, an attacker doesn't even need to know what exactly is occurring as the computer is trained on a series of inputs and outputs of a system.
"For instance, if you have 2 million outputs and the attacker sees 10,000 or 20,000 of these outputs, he can, based on that, train a model that can copy the system afterwards," said Hussein Nili, the paper's lead author.
The "memristive black box" can circumvent this method of attack because it makes the relationship between inputs and outputs look random enough to the outside world even as the circuits' internal mechanisms are repeatable enough to be reliable.
"If we scale it a little bit further, it's going to be hardware which could be, in many metrics, the state-of-the-art," Strukov noted.
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Lucknow (PTI): The Lucknow Bench of the Allahabad High Court on Friday ordered a probe by the special task force (STF) into alleged irregularities in the rejoining of a teacher at City Intermediate College in Barabanki, observing that the reinstatement appeared to be prima facie illegal.
The court also directed the recovery of the salary paid to the teacher during the disputed period.
A bench of Justice Rajeev Singh passed the order on a petition filed by the college management committee. The court expressed doubts over the roles of the District Inspector of Schools (DIOS), Barabanki, the college principal and the teacher concerned and hence, directed a detailed inquiry into the matter.
Taking note of alleged manipulation of records and misleading submissions, the court ordered the immediate transfer of the Barabanki DIOS to ensure a fair probe. It also directed the initiation of disciplinary proceedings against the then joint director of education of the Ayodhya division.
In its order, the court found that the teacher, Abhay Kumar, was initially appointed as an assistant teacher in 2018 but joined an Eklavya Model Residential School in Chhattisgarh as a lecturer in June 2024 without obtaining permission from the management. His subsequent request to retain the lien was rejected.
Despite this, he was allowed to rejoin the Barabanki College in September 2025 on the directions of the joint director of education and the DIOS, and was even paid the salary for October 2025. The court termed the rejoining "wholly illegal" and lacking any legal basis.
The bench also expressed concern over lapses in communication within the education department and directed the Uttar Pradesh chief secretary to ensure that official orders are communicated through email and WhatsApp as well, to prevent disputes.
The matter is next listed for hearing on May 28 when a compliance report is sought.
