Government
Met police in talks to buy Palantir AI tech for use in criminal investigations
Scotland Yard is understood to be moving quickly towards embracing AI automation in its intelligence units. Scotland Yard is understood to be moving quickly towards embracing AI automation in its intelligence units. The Metropolitan police has held talks with Palantir that could lead to the London force buying the US spy-tech company's AI technology to automate intelligence analysis for criminal investigations, the Guardian has learned. Palantir, whose software is used by Donald Trump's ICE immigration enforcement programme and the Israeli military, demonstrated its systems to senior officers in the intelligence division at the UK's largest police force last month. Intelligence staff have been tasked with finding intelligence systems that AI could automate to increase productivity.
The Download: introducing the 10 Things That Matter in AI Right Now
Plus: An unauthorized group has reportedly accessed Anthropic's Mythos. What actually matters in AI right now? It's getting harder to tell amid the constant launches, hype, and warnings. To cut through the noise, reporters and editors have distilled years of analysis into a new essential guide: the 10 Things That Matter in AI Right Now . The list builds on our annual 10 Breakthrough Technologies, but takes a wider view of the ideas, topics, and research shaping AI, spotlighting the trends and breakthroughs shaping the world. We'll be unpacking one item from the list each day here in The Download, explaining what it means and why it matters.
Learning Infinite RBMs with Frank-Wolfe
Wei Ping, Qiang Liu, Alexander T. Ihler
In this work, we propose an infinite restricted Boltzmann machine (RBM), whose maximum likelihood estimation (MLE) corresponds to a constrained convex optimization. We consider the Frank-Wolfe algorithm to solve the program, which provides a sparse solution that can be interpreted as inserting a hidden unit at each iteration, so that the optimization process takes the form of a sequence of finite models of increasing complexity. As a side benefit, this can be used to easily and efficiently identify an appropriate number of hidden units during the optimization. The resulting model can also be used as an initialization for typical state-of-the-art RBM training algorithms such as contrastive divergence, leading to models with consistently higher test likelihood than random initialization.
Join Our Livestream: Musk v. Altman and the Future of OpenAI
Pose your questions ahead of our May 8 livestream about the trial that could determine the fate of OpenAI. Two of Big Tech's most influential billionaires, Sam Altman and Elon Musk, will go head-to-head in a highly anticipated trial beginning April 27. In Musk v. Altman a judge, advised by a jury, will ultimately determine whether OpenAI has strayed from its founding mission to ensure that artificial general intelligence (AGI) benefits humanity, and the ruling could influence how the world's leading AI developer controls and distributes its technology. For now, you can learn more about the trial here . On May 8, a panel of WIRED experts will go live to answer your questions about this consequential case.
One town's scheme to get rid of its geese
One town's scheme to get rid of its geese Public officials in one California burgh spent nearly $400,000 on tech to flush out waterfowl. Some geese, like the one on the left, wear GPS trackers as part of the Foster City goose management plan. Our target is in sight: a gaggle of Canada geese, pecking at grass near the dog park. As I approach, tiptoeing over their grayish-white poop, I notice that one bird wears a white cuff around its slender black neck. It's a GPS tracker--part of a new tech-centered campaign to drive the geese out of my hometown of Foster City, California. About 300 geese live in this sleepy Bay Area suburb, equal to nearly 1% of our human population--and some say this town isn't big enough for the both of us.
Meta's Big Brother move: Mark Zuckerberg's firm starts tracking employees' mouse clicks and taking screenshots of their screens - as one worker calls it 'very dystopian'
What Gilgo Beach killer's wife REALLY knew: Prosecutor reveals chilling truth about life with monster husband... and the'interests' she couldn't ignore Texas bride airlifted back to US on emergency flight after suffering'life-threatening' illness on honeymoon in Japan I thought I'd quit my addiction to'tweakments' and Botox forever. Then, feeling particularly confident at a Dubai lunch, I asked a stranger to guess my age... The lie my husband told to stop me divorcing him is beyond unforgivable. Every woman must beware... otherwise you might never realize: DEAR JANE Elizabeth Smart stuns fans with new incredible bodybuilding photos: 'I refuse to be ashamed' Dark secrets Days of Our Lives star Patrick Muldoon took to his grave: He'tried to hide' truth for decades... now friends are all whispering the same thing after his shock death New'Hollywood dose' pill: A-listers hooked on'youth elixir' that dermatologists say is anti-aging, shrinks pores, smooths wrinkles... and even banishes rosacea Katie Holmes likes telling comment about ex Joshua Jackson who shot to fame with her on Dawson's Creek Trump threatens to'blow up the rest of' Iran and'its leaders' with new Strait of Hormuz ultimatum'Paranoid' Tiger Woods and Vanessa Trump make major shakeup in the wake of golf legend's DUI scandal Death row inmate Chadwick Willacy who burned Florida mom alive during burglary is executed in front of victim's son What has Adam Levine done to his face? Meta's Big Brother move: Mark Zuckerberg's firm starts tracking employees' mouse clicks and taking screenshots of their screens - as one worker calls it'very dystopian' Meta has revealed plans to start tracking its employees' keystrokes and mouse clicks.
Russia strikes Ukraine's Odesa port, kills railway worker in Zaporizhia
What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russia strikes Ukraine's Odesa port, kills railway worker in Zaporizhia Russian drones have attacked Ukraine's main Black Sea port in the southern city of Odesa and a railway in the region of Zaporizhia, killing a train driver, according to Ukraine's Deputy Prime Minister Oleksii Kuleba. The overnight attacks damaged the infrastructure of the Odesa port, including berths, warehouses, railway infrastructure and port operators' facilities, Kuleba said in a statement on X on Wednesday. Kuleba said this is "another proof of terrorism, Russia is at war against peaceful people, against those who were simply doing their job and keeping the country moving". Russia also launched several drones and missiles on a flight path near the disused Chornobyl nuclear plant, elevating the risk of a significant accident, according to Ukraine's top state prosecutor. This comes as Ukraine prepares to mark the 40th anniversary of the 1986 Chornobyl disaster on Sunday.
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
Kejun Huang, Xiao Fu, Nikolaos D. Sidiropoulos
In topic modeling, many algorithms that guarantee identifiability of the topics have been developed under the premise that there exist anchor words - i.e., words that only appear (with positive probability) in one topic. Follow-up work has resorted to three or higher-order statistics of the data corpus to relax the anchor word assumption. Reliable estimates of higher-order statistics are hard to obtain, however, and the identification of topics under those models hinges on uncorrelatedness of the topics, which can be unrealistic. This paper revisits topic modeling based on second-order moments, and proposes an anchor-free topic mining framework. The proposed approach guarantees the identification of the topics under a much milder condition compared to the anchor-word assumption, thereby exhibiting much better robustness in practice. The associated algorithm only involves one eigendecomposition and a few small linear programs. This makes it easy to implement and scale up to very large problem instances. Experiments using the TDT2 and Reuters-21578 corpus demonstrate that the proposed anchor-free approach exhibits very favorable performance (measured using coherence, similarity count, and clustering accuracy metrics) compared to the prior art.
Can you spot the fake? Take the test to see if you can distinguish between real and AI-generated VOICES
In the past, voice assistants like Siri or the one in your satnav used so-called'synthetic voices'. These require voice actors to spend hours in the recording studio, meticulously sampling all the different words and phrases that the assistant might need. Voice clones, on the other hand, have revolutionised how synthetic voices are created, by using AI to digitally recreate someone's speech patterns. These clones can be created with as little as a few seconds of recorded audio, even using clips from social media or snippets of conversation as the raw material. This has sparked concerns that criminals using AI could easily impersonate friends, family, or co-workers to manipulate their targets . According to the National Trading Standards, criminals are already using AI to clone people's voices and set up unauthorised direct debits over the phone. In the study, the researchers created voice clones of human participants using just 120 pre-recorded sentences. Participants listened to 80 unique sentences - 40 spoken by a real person and 40 spoken by an AI voice clone. The researchers compared human (top) AI-generated (bottom) voice recordings to see why this might be the case, but couldn't find any clear explanation Can you tell which voices are AI?