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Three Mississippi State Players Receive Midseason All-America Recognition

Mississippi State’s October has been rough, but three Bulldogs have played well enough to catch the eye of national voters anyway. Cornerback Kelley Jones made On3’s midseason All-America first team, while cornerback Jett Jefferson and wide receiver Anthony Evans III both landed on the Associated Press midseason second team. Jefferson’s breakout moment came against Missouri, when he led Mississippi State with five passes defended. In the last six games, he caught 47 passes for 614 yards and five touchdowns, and he has kept producing even as injuries forced Mississippi State to shuffle quarterbacks. “I had to give it all I’ve got for the guys in front of me, for the team,” Evans said.

Panasonic Connect Exhibits Facial Recognition Ticket Gate at The Railway Museum

Panasonic Connect began exhibiting a facial recognition ticket gate at The Railway Museum on October 21. The ticket gate was jointly developed with JR East and JR East Mechatronics. It was used in a demonstration experiment conducted at Nagaoka Station on the Joetsu Shinkansen from November 2025 to March 2026. The experiment examined the convenience and practicality of a facial recognition ticket gate service for Shinkansen commuter pass users traveling between Niigata and Nagaoka stations. Users can be authenticated while walking without having to position their face directly in front of the camera.

The Evolution of LLMs, Explained Through What We Train Them to Do

TL;DR: Every leap in LLMs, from GPT-1 to today's agents, came from changing one thing: what the model is trained to do. Next-token prediction gave models knowledge. Post-training made them assistants. Reinforcement learning made them reason. Tools made them agents. Underneath it all, the real engine is data designed to teach the right objective. Every few weeks, a new LLM launches and the feed calls it a revolution. Taken one at a time, the launches look like noise. There is a simpler way to read the story. Each big step answered one question: what should we train the model to do? First the answer was "predict the next word." Then it became "be a helpful assistant," then "think before you answer," and now "take actions until the job is done." Each step kept everything before it and added one idea on top. This mental model helps me make sense of the field, and it explains both how we got here and where things are going. Act 1: Predict the next token (2018 to 2020) GPT-1 (2018): the objective works. GPT-1 was a 117M-parameter transformer trained on one task: predict the next token in about 7,000 books. To do that well, it had to pick up grammar, facts, and meaning on its own. Fine-tuned on small labeled datasets, it beat purpose-built models on 9 of 12 benchmarks. Next-token prediction turned out to be a way to learn language itself. GPT-2 (2019): scale, and tasks start to appear. GPT-2 grew to 1.5B parameters trained on 40 GB of web text. Without fine-tuning, it began to summarize, translate, and answer questions zero-shot. The results were rough, but they hinted that scale alone unlocks new abilities. GPT-3 (2020): no more fine-tuning. At 175B parameters, GPT-3 could learn a task from a description and a

Northwestern's Griffin Wilde Deserves More National Recognition

Northwestern wide receiver Griffin Wilde (L) and quarterback Aidan Chiles (R) speak to media following the Wildcats' 42-14 win over Rutgers on Saturday, Oct. 24, 2026. In Northwestern's dominant 42-14 victory over Rutgers on Saturday, Wilde delivered another outstanding performance, hauling in nine receptions for 133 yards and a touchdown. Advertisement Through seven games this season, Wilde has recorded 39 receptions for 615 yards and four touchdowns, averaging nearly 16 yards per catch. During the 2025 season, Wilde recorded 71 receptions for 880 yards and eight touchdowns, earning third-team All-Big Ten honors. At some point, Wilde deserves to be recognized for what he is: one of the most complete receivers in the conference.

What Are Flock Cameras? What They Record, Who Can Search Them and Why Cities Are Pulling Them

Flock cameras are automated license plate readers, made by Atlanta-based Flock Safety, that photograph every passing vehicle and log its plate, make, color, direction and time for police to search. What Do Flock Cameras Record? Businesses also install them: Flock cameras in some Home Depot and Lowe’s parking lots are feeding the same kind of vehicle data. MapQuest now shows known Flock cameras on your route with one toggle, using locations mapped by volunteers. Flock Cameras: FAQ Are Flock cameras speed cameras?

The Pentagon's guidelines for "responsible AI" aren't always followed, report shows - Oregon Public Broadcasting

The Pentagon is building weapons and projects with artificial intelligence capabilities that officials say don’t always closely adhere to the agency’s own guidelines for AI, according to a congressional watchdog report published in October. But Defense Secretary Pete Hegseth has repeatedly dismissed previous caution of AI tools and encouraged rapid autonomous innovation at the Pentagon. Four officials told the GAO that requirements for the weapons and projects they were working on weren’t “aligned with Responsible AI tenets.” But the group that helps manage education on the Pentagon’s guidelines, the Department of the Responsible AI Division, is understaffed. “That’s a very small number of folks tasked with a large responsibility of responsible AI throughout the department,” said Czyz.

UK Home Office publishes LFR privacy assessment for immigration enforcement

The UK Home Office has published its data protection impact assessment (DPIA) for live facial recognition technology, including software, hardware and associated operational processing. Per the government website, it “details the steps taken by Immigration Enforcement to evaluate and reduce the data protection risks of live facial recognition, fulfilling UK GDPR accountability requirements and demonstrating compliance.” The 63-page document lists the questions organizations must ask when deploying live FRT, addressing issues such as purpose, scope and details about data processing methods. These include only using Home Office-verified live facial recognition systems (NEC) with human in the loop and secondary ID checks, pre-deployment public engagement, strict scope control, and a number of technical measures. Deployments must pursue a legitimate aim as defined by law, to fight crime or enforce immigration policy, “where strict safeguards are in place to ensure compliance with data protection and human rights obligations.

London shoppers face facial scans as Oxford Street gets new cameras | Daily Sabah

It comes as a stretch of Oxford Street is due to be pedestrianized next week, with plans for the whole street to eventually become traffic-free. The Metropolitan Police plans to use static, live, facial recognition cameras in London’s West End and Soho, which have some of the highest crime rates in London. "Despite a public consultation on facial recognition closing in February, the government has yet to publish its response. Yet permanent, facial recognition cameras are set to be installed in one of the country’s busiest destinations without a legal framework to protect the public’s rights. A Met spokesperson said: "Live, facial recognition is an important tool which is helping us keep London safe.

Smile! You're on facial recognition: Thousands of Christmas shoppers could be scanned by police cameras on Oxford Street

Oxford Street is one of the world’s busiest shopping areas, with about half a million visitors each day. Read More: HMV to close Oxford Street store three years after reopening historic site Read More: Oxford Street to be pedestrianised from October It comes as a stretch of Oxford Street is due to be pedestrianised next week, with plans for the whole street to eventually become traffic-free. The Metropolitan Police plans to use static, live, facial recognition cameras in London’s West End and Soho – which have some of the highest crime rates in London. Akiko Hart, director of human rights organisation Liberty, said: “The introduction of fixed, live, facial recognition cameras on Oxford Street will mean thousands of Christmas shoppers will have their faces scanned by this unregulated surveillance technology without being given a choice. A Met spokesperson said: “Live, facial recognition is an important tool which is helping us keep London safe.

Researchers find image restoration can retain biometric recognition value

It is widely thought that facial recognition can only work on subjects where some minimal amount of the face is visible. Three researchers from Guangdong Polytechnic Institute in China explicitly embedded “identity-preserving constraints” into a GAN framework to improve the recognition rate of restored facial images. The researchers developed a facial image processing framework based on MS-CNN. The partial or occluded face image is fed into a convolutional network, and resolution improved with upsampling. With these conditions, facial recognition accuracy in noisy environments was 71.3 percent.

France Deploys Facial Recognition in Riot Hunt as TAJ Lookups Tripled Under Illegal Use

Darmanin confirmed that facial recognition is being applied to connect social media imagery with the TAJ. TAJ database consultations linked to facial recognition grew from approximately 375,000 in 2019 to roughly one million in 2024 — a near-tripling over five years. The German Federal Police Act, passed July 17, 2026, authorizes live facial recognition in "urgent danger" emergencies — though the law passed amid quorum controversy during the parliamentary session. Frequently Asked Questions Is it legal for French police to use facial recognition to identify riot suspects? What is the TAJ database, and how large is it?

Festive shoppers to be scanned as Oxford Street gets facial recognition cameras

Oxford Street is one of the world’s busiest shopping areas, with about half a million visitors each day. It comes as a stretch of Oxford Street is due to be pedestrianised next week, with plans for the whole street to eventually become traffic-free. The Metropolitan Police plans to use static, live, facial recognition cameras in London’s West End and Soho – which have some of the highest crime rates in London. Yet permanent, facial recognition cameras are set to be installed in one of the country’s busiest destinations without a legal framework to protect the public’s rights. A Met spokesperson said: “Live, facial recognition is an important tool which is helping us keep London safe.

Oxford Street set to get facial recognition cameras for Christmas

A Met Police spokesperson said: "Live, facial recognition is an important tool which is helping us keep London safe. Ms Hart said: "The introduction of fixed, live, facial recognition cameras on Oxford Street will mean thousands of Christmas shoppers will have their faces scanned by this unregulated surveillance technology without being given a choice. "Yet permanent, facial recognition cameras are set to be installed in one of the country’s busiest destinations without a legal framework to protect the public’s rights. The Met has arrested more than 2,000 people using facial recognition since the start of 2024. The debate over facial recognition technology continues as London prepares for one of its busiest shopping seasons.

Facial recognition firm offers retailers free crime reporting platform

Facewatch Live is undergoing live testing and will be free to retailers and the police, the company has announced. The platform is designed to give retailers a much clearer understanding of the crime affecting their businesses and can be deployed as a standalone crime reporting solution or sit alongside Facewatch’s established live facial recognition technology. It will not be necessary for a retailer to subscribe to Facewatch’s Live Facial Recognition service in order to use Facewatch Live. In 2018, Facewatch shifted its focus to prevention using live facial recognition. In September 2026, Facewatch’s live facial recognition system generated 81,988 real-time alerts, its fifth consecutive monthly record.

Facewatch begins free-to-use beta testing of new crime intelligence platform

Facewatch is beginning live beta testing of Facewatch Live, a new retail crime intelligence and management platform that will be available free to retailers and police, the company announced today (Oct 23). Nick Fisher, CEO of Facewatch, said: “Live facial recognition has already proved the value of giving retailers accurate, actionable intelligence the moment an offender enters a store. “Facewatch Live gives retailers the opportunity to record incidents, see the bigger picture in their own crime data, and build stronger evidence against prolific offenders. It will not be necessary for a retailer to subscribe to Facewatch's Live Facial Recognition service in order to use Facewatch Live. For retailers that also use facial recognition, however, the combination provides an additional opportunity to connect incident intelligence with real-time crime prevention.

Permanent facial recognition cameras to be installed on Oxford Street by Christmas

Live facial recognition cameras will be installed in London’s Oxford Street in December, meaning thousands of Christmas shoppers will have their faces scanned by the technology. One of the busiest shopping areas in the world, Oxford Street has about half a million visitors every day. The street will be among the first areas in the UK to have permanent, live facial recognition (LFR) installations that scan people passing through and compare them with a watchlist of wanted suspects. “Despite a public consultation on facial recognition closing in February, the Government has yet to publish its response. Yet permanent facial recognition cameras are set to be installed in one of the country’s busiest destinations without a legal framework to protect the public’s rights.

Forensic Facial Specialists Can Identify People Using Just a Couple Facial Features

Bad lighting, sunglasses, clothing, and more can either flummox AI facial recognition systems or lead to false positives. Of course, we already have human forensic facial specialists, and a better understanding of their expertise could help train their computer counterparts. A points system incentivized the experts to uncover the fewest possible features and another version of the experiment individually uncovered the features at random. “The combination of relying on features known to be useful, like ears, with adjusting when needed, hasn’t been documented before.” Instead the findings may be useful for training both human and AI facial specialists in the future.

Police facial recognition vans to be deployed in two south Essex areas this week

Essex Police will station the vehicles in Basildon on October 24 before visiting Southend on October 26. The vans will look for people suspected of serious offences such as drug, violent and sexual offences, as well as thefts. Officers have made 200 arrests using the technology, including during investigations into violent and sexual offences. The technology can accurately identify a person even if their entire face is not visible, including if they wear a face covering. A spokesman for Essex Police said: “If you're not on our watchlist, your image is discarded in a fraction of a second.”