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Dubai Police Use Futuristic Technology To Read Murder Suspect’s Mind
A recently solved murder case in Dubai shows that science fiction movies have become a reality. Instead of traditional methods, the Dubai Police solved the case using a new technology developed by Brainwave Science, Inc, which makes it possible to literary read the minds of crime suspects.
This technology is called iCognative, but those familiar with it often call it “memory print” or “brain fingerprinting.” The science behind it is fairly easy to understand. When the human brain recognizes a known object, image, or piece of information, it involuntarily emits the so-called P300 wave.
The P300 wave is an event-related brain potential that can be measured using electroencephalography (EEG), and that’s exactly what iCognative does.
“We used the technology in a murder at a warehouse. Experts showed [the workers] pictures related to the crime, which only the person who committed it would know,” said Lt Colonel Mohammad Al Hammadi, Director of Criminology for Dubai Police. “After the session, the [brain mapping] device helped identify the main suspect who then admitted to having committed the murder.”
Lt Colonel Mohammad Al Hammadi has confirmed that the Dubai Police will continue using iCognative when solving future crimes. Other law enforcement agencies around the globe are also trialing the technology, while others, such as India’s police force, have been using it for years.
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The technique for the detection of concealed information with event-related brain potentials was pioneered by American neuroscientist Lawrence A. Farwell, who described its potential for lie detection in his 2012 research paper.
If you would like to see a real convicted murderer, Steven Avery, be brain fingerprinted by Lawrence A. Farwell, you can watch the second season of Netflix’s “Making of a Murderer“. If this isn’t good use of science fiction, then I don’t know what is.
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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
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