No-frills tech news

Service Members Participate In San Diego Zoo Enlisted Recognition Luncheon [Image 4 of 4]

Sailors walk around the San Diego Zoo during Fleet Week San Diego 2026, Nov. 6, 2026. Fleet Week San Diego, now in its 25th iteration, is an opportunity for San Diego residents and tourists to meet their Navy, Marine Corps, and Coast Guard teams and experience America's sea services firsthand. During the event, service members participate in various community service events and showcase capabilities and equipment to the community. (U.S. Navy photo by Mass Communication Specialist Seaman Recruit Ronald H. Yang)

MIT's UQ-DAAAM Lets Robots Re-check Uncertain Object Memories, Lifting Answer Accuracy by 5 Points

A weakness in robot object memory: mistaking a chimney for a squirrel A robot mistakes a chimney for a squirrel and records that wrong information on its map. MIT's announcement uses this kind of example to explain the problem with robots' object memory. It represents the share of objects initially judged uncertain whose uncertainty score fell below a set threshold after additional processing. DAM-3B was used to generate object descriptions, and GPT-5-mini was used for merging descriptions and question answering. Questions also remain about how well the uncertainty score reflects actual recognition accuracy, that is, about confidence calibration.

The Icons CEO Harry Hsu Sets Out Dual Ecology of Leadership Standing at Cambridge

LONDON, UNITED KINGDOM, Nov. 07, 2026 (GLOBE NEWSWIRE) -- Harry Hsu, CEO of The Icons, presented the Dual Ecology of Leadership Standing at The Icons Cambridge Leadership Forum on 23 October 2026. Harry Hsu, CEO of The Icons, presents the Dual Ecology of Leadership Standing at The Icons Cambridge Leadership Forum. The Dual Ecology of Leadership Standing The Dual Ecology of Leadership Standing is a conceptual framework proposed by Harry Hsu, CEO of The Icons. The Dual Ecology of Leadership Standing, developed by Harry Hsu, CEO of The Icons, links public recognition and relational trust through the Recognition Ecology and the Relational Ecology. A matrix for assessing leadership standing Hsu's Dual Ecology Leadership Standing Matrix plots public recognition against relational trust.

Philadelphia Airport Becomes First to Deploy New Global Entry System

PHILADELPHIA, PA — U.S. Customs and Border Protection has replaced traditional Global Entry arrival kiosks with automated facial recognition processing at Philadelphia International Airport, making it the first U.S. airport to adopt a system the agency plans to expand to as many as 38 terminals at 30 major airports. The new process, introduced Oct. 13, uses cameras equipped with biometric facial comparison technology to verify the identities and membership status of Global Entry travelers entering the designated processing area. Global Entry, part of CBP’s Trusted Traveler Programs, provides expedited entry into the United States for preapproved travelers who have undergone background screening and an in-person enrollment interview. The application additionally allows travelers to apply for Global Entry, renew memberships, update personal information and travel documents, and schedule enrollment interviews. Additional information about Global Entry and CBP’s traveler processing programs is available at www.CBP.gov.

Deep Learning Model Achieves 93.52% Accuracy in Ancient Ge’ez Manuscript Recognition

Researchers from Ethiopia have developed a deep convolutional neural network capable of recognizing characters in ancient Ethiopic Ge’ez manuscripts with an accuracy of 93.52%. The experimental results demonstrated that the sequentially developed deep convolutional neural network achieved the highest performance, with a validation accuracy of 93.52%. The successful application of deep convolutional neural networks to Ge’ez character recognition provides a foundation for future research in this area. Subject of Research: Character recognition of ancient ethiopic Ge'ez manuscripts using deep convolutional neural networks Article Title: Character recognition of ancient ethiopic Ge'ez manuscripts using deep convolutional neural networks Article References: Guangul, K. A., Girmaw, D. W., & Meshesha, M. (2025). Character recognition of ancient ethiopic Ge'ez manuscripts using deep convolutional neural networks.

Andavi Solutions Acquires Infilect To Expand AI-Powered Retail Execution And Sales Automation

The acquisition combines Andavi’s salesforce automation capabilities with Infilect’s image recognition and agentic AI technologies to help businesses improve retail visibility, merchandising compliance, and sales execution. Its technology identifies products, stock-keeping units, shelf facings, pricing, inventory availability, competitor activity, and other retail execution metrics. Andavi’s existing technology supports sales execution, pricing, trade promotions, and market visibility for beverage and consumer goods companies. By combining salesforce automation with automated visual intelligence, Andavi aims to provide customers with a more comprehensive platform for managing retail execution and identifying opportunities for growth. Nina Vellayan, CEO Of Andavi Solutions “We started Infilect to give consumer goods companies better visibility into every store.

Graph network learns how emotions relate to sharpen facial expression recognition

Facial emotion recognition systems still stumble on a deceptively simple problem: some emotions simply look alike. To build that graph, the authors extract Local Binary Pattern features from the principal component of morphological profiles, and the resulting graph feature matrix is processed by a Graph Convolutional Network to learn emotion relationship representations. Subject of Research: A graph convolutional network that models relationships between emotion categories to improve facial emotion recognition. Article Title: ERGCN: emotion relationship graph convolutional network with cross-attention fusion for facial emotion recognition Article References: Imani, M., & Kabir, E. (2026). ERGCN: emotion relationship graph convolutional network with cross-attention fusion for facial emotion recognition.

UK plans facial recognition surveillance to identify visa overstayers and immigration offenders

Listen to this article in summarized format The UK is considering expanding the use of live facial recognition technology to identify visa overstayers and people who breach immigration rules, as the government steps up enforcement against illegal migration. Privacy concerns over immigration surveillance The plans have attracted criticism from privacy and migrant-rights organisations, which have questioned the safeguards, transparency and potential for discriminatory outcomes. He also said facial recognition used for immigration enforcement fell outside his remit, raising questions about independent oversight. The technology has drawn comparisons with China's extensive facial recognition surveillance network, which has faced criticism from human rights organisations. Separately, Home Secretary Shabana Mahmood has defended facial recognition technology for policing, describing it as a major breakthrough in identifying criminals.

Controlled Phone Clusters Handle Grading and Image Recognition in Tests

Tests of controlled phone clusters have handled specific computing jobs, but the results do not show that smartphones spread across the internet can replace centralized infrastructure for large-scale artificial intelligence. Acurast announced Sept. 29, 2026, that its network included more than 318,000 phones in more than 175 countries. In controlled tests published in May 2025, smartphone clusters performed competitively on some image-recognition workloads. Its tests used strong 5 GHz Wi-Fi, devices with screens off and limits on network activity from other apps. Phone-based systems need workloads that fit their smaller capacity, and the tests do not establish performance across a widely distributed network.

Philly airport is first to use new facial recognition technology that lets Americans pass through customs faster

The Philadelphia International Airport is the first airport in the United States to use new facial recognition software for Global Entry, the program that allows eligible U.S. residents to pass through customs more quickly. Global Entry members now will walk up to the Global Entry Portal and have their photos taken by two cameras. If the software successfully matches their faces to information supplied in their Global Entry applications, they can advance and head for the exit. According to U.S. Customs and Border Protection, which operates Global Entry, the new technology will be better at verifying identities. To qualify for Global Entry, travelers must be over 18 or have the consent of a parent or legal guardian.

New code of practice planned for UK businesses using facial recognition and biometrics

The proposals, announced by the UK government on 4 November, include the establishment of a new biometrics regulator focused on overseeing law enforcement use of biometric technologies. The regulator will also contribute to the development of a separate legal code of practice for private sector organisations using facial recognition and similar systems. The government has emphasised, however, that the code will recognise the different legal and operational contexts in which businesses and law enforcement agencies deploy biometric tools. The announcement comes at a time when biometric technologies are being adopted in increasingly diverse settings. The organisation has also called for clear legal thresholds governing when facial recognition technologies can be used outside law enforcement settings.

Police use of facial recognition tech gets watchdog

The Government has announced plans for an independent watchdog and new legislation through the Police Reform Bill to regulate facial recognition technology The Ada Lovelace Institute has welcomed government plans to regulate police facial recognition technology, while warning that safeguards must be matched by limits on how the technology is deployed. In September the Information Commissioner’s Office (ICO) examined the use of facial recognition technology (FRT) by police forces in England and Wales, and highlighted the need for strong data protection governance to maintain public trust. Home Secretary, Shabana Mahmood, said in Parliament on November 4, 2026: “Facial recognition technology has been the biggest breakthrough for catching criminals since DNA matching, already helping police take thousands of dangerous criminals off our streets. The institute subsequently published policy papers in 2022 and 2025 calling for independent statutory regulation of biometric technologies. "There should be a very high bar outside of law enforcement bodies for scanning the public's faces," she said.

AI-Powered Attacks Crack Facial Recognition Technology: Is Facial Recognition on the Verge of Becoming Obsolete?

This case shows that the abuse of AI video technology has begun to undermine the previous trust order. Up to now, facial recognition has become the main way for a large number of Internet products to verify user identities. It should be noted that the facial recognition breached by AI this time is not 3D structured light facial recognition such as Face ID used on iPhone, but 2D facial recognition. In the process of facial recognition unlocking on mobile phones, there are at least steps including face detection, feature extraction and facial recognition. Some AI video creators exclaimed, "Weren't those AI videos of Will Smith eating noodles a joke back then?

Hong Kong police to introduce AI facial recognition to Smart View surveillance network

Hong Kong police will roll out artificial intelligence facial recognition across the force's Smart View closed-circuit television network within this month, aiming to accelerate criminal investigations and locate vulnerable missing persons, particularly elderly residents suffering from dementia. Introducing facial recognition algorithms directly into the Smart View infrastructure will automate analysis, functioning as around-the-clock investigative support to identify suspects and locate missing individuals while freeing frontline officers for field duties. Retrospective searches and real-time alerts define operational deployment The facial recognition module will operate under two distinct modes depending on investigative needs. Operations Bureau Superintendent Raymond Cheng noted that because continuous facial recognition analysis requires heavy computational resources, the feature will not run simultaneously across every lens on the network. To defend against cybersecurity risks and external hacking, the force operates Smart View on a dedicated private optical fiber network, while mandatory firewall barriers isolate all external and commercial camera feeds before data enters police servers.

UK deploys China-style surveillance to track visa overstayers as immigration crackdown tightens for Nigerians, Indians and South Africans

Google In a separate announcement concerning safeguards for police use of facial recognition, UK Home Secretary Shabana Mahmood stated, "Facial recognition technology has been the biggest breakthrough for catching criminals since DNA matching, already helping police take thousands of dangerous criminals off our streets". Nigerians, Indians, Pakistanis and South Africans are among the national communities with migration links to Britain, although the facial recognition policy does not single out these nationalities. Figures from the UK Office for National Statistics show that Indian, Pakistani and Nigerian nationals regularly rank among the five largest non-EU nationalities arriving in the country for long-term migration. Under the Home Office's facial recognition policy, people can be considered for inclusion on enforcement watchlists because of their immigration or legal circumstances, rather than their nationality only. This includes individuals subject to deportation orders, people wanted under relevant court warrants and those actively sought by immigration authorities after failing to comply with immigration conditions.

Starting this month, Hong Kong will introduce artificial intelligence (AI)-based facial recognition

Starting this month, Hong Kong will introduce artificial intelligence (AI)-based facial recognition technology across smart surveillance networks using CCTV. Hong Kong police pointed out that many patrol personnel are often tied up in tracking down missing people or suspects. It is explained that when AI facial recognition technology is introduced, it is like securing additional personnel to more efficiently locate subjects 24 hours a day. The facial recognition technology applied to the "SmartView" surveillance camera installation program works in two main ways. Hong Kong police emphasized that all CCTV cameras installed in the Smart View project only shoot public places.

Hong Kong police to enable AI facial recognition on CCTV network this month

The force said the facial recognition technology was widely used by law enforcement agencies around the world and stressed that residents’ privacy rights would be protected. “Leveraging AI [facial recognition] would cut the time we spend reviewing the closed-circuit television [CCTV] footage to track down target persons,” Eric Leung Ming-leung, senior superintendent of the force’s operations wing, said.

Britain sets tighter safeguards for police use of facial recognition technology

LONDON – Britain on Wednesday announced plans to introduce new laws and establish an independent watchdog to regulate police use of facial recognition technology, aiming to strengthen public safety while addressing concerns over privacy, fairness and discrimination. An independent watchdog will be established to oversee police use of facial recognition and other emerging technologies. A new statutory code of practice will set consistent standards for police forces, while separate rules will govern the use of facial recognition by private businesses, including retailers. READ MORE: UK police evacuate area near air base, make arrests after incident Britain's Home Secretary Shabana Mahmood described facial recognition as the biggest breakthrough in catching criminals since DNA matching. The announcement followed an 11-million-pound (about $14.6 million) investment to triple the number of live facial recognition vans available to police forces in England and Wales.

Safeguarding to be tougher for police facial recognition technology

Launched in Oxford city centre almost a year ago, the live facial recognition deletes data if you are not a suspect. Home secretary Shabana Mahmood: “Facial recognition technology has been the biggest breakthrough for catching criminals since DNA matching, already helping police take thousands of dangerous criminals off our streets." Laws will be introduced to Parliament under the Police Reform Bill to make sure police use of facial recognition is “intelligence-led and proportionate”, so it is only used when officers believe wanted people could be present in a certain area. Big Brother Watch, which describes use of live facial recognition for mass surveillance as “Orwellian”, said: “The public have spoken loud and clear in the consultation, raising the alarm that facial recognition erodes our freedoms and privacy and is turning Britain into a surveillance state. Former head of Counter Terrorism Policing, Neil Basu, said: “Like all new technologies, live facial recognition had a difficult start and the consultation was absolutely necessary to ensure this new technology was acceptable to the wider public.

Minority groups oppose ‘routine’ police facial recognition

“Participants expressed an overarching concern that the ways in which facial recognition is used, and the purposes it is used for, could keep expanding,” it said. “Given low levels of trust in police, participants feared that once normalised, safeguards around facial recognition technology use could gradually weaken. To overcome the clear trust deficit, participants made a number of suggestions for how police facial recognition can be effectively regulated. In terms of what functions such an oversight body should have, participants suggested it could conduct pre-deployment approvals every time police want to use facial recognition, have strong powers to enforce against misuse, and conduct audits. In summarising the study, authors noted that while participants did not entirely reject the use of facial recognition by police, “they made clear that confidence in facial recognition will depend on its deployment having clear limits, fair use, strong accountability and independent oversight”.