For a deeper understanding of Israel, the region, and global antisemitism DONATE TO FATHOM Home About us Society Region Peace Anti-Zionism History Book Reviews Video Previous Issues Contributors Donate to Fathom Join over 9000 global opinion formers by subscribing to Fathom's influential Weekly Newsletter Email Address * First Name Last Name Fathom Latest Issue Spring / 2026 'Lebanon cannot afford to wait' | Fathom Interview | Hanin Ghaddar By Hanin Ghaddar On April 23, Fathom spoke to Lebanon expert Hanin Ghaddar, the Friedman Senior Fellow at the Washington Institute.... Read more > April 2026 Britain’s Sewer of Green Antisemitism By Andrew Apostolou Writing in a personal capacity, Andrew Apostolou, who is the deputy editor of Fathom and a member of... Read more > April 2026 Restoring the world’s ability to answer back: Antisemitism, Israel, and moral urgency By Joanne Strasser Joanne Strasser examines why discussions about antisemitism are so fraught. She argues that three factors prevent an actual... Read more > April 2026 A Letter to the Fourth Circle, That Is, to All of Us By Merav Roth In late March, Fathom spoke to Merav Roth (née Lapid) about her work treating trauma in Israel. She... Read more > April 2026 The Language of Loss in Gaza By Justine Hardy Justine Hardy is a mental health activist and practitioner in the field of conflict trauma, registered to practice... Read more > April 2026 Stability has a language: How the West Learned to speak Arab nationalism By Dastan Jasim Dastan Jasim argues that anti-Kurdish violence by regimes, ideologies, and political movements in Arab countries reflects a shared,... Read more > March 2026 National Conservatism’s Jewish Problem By Daniel Goldman Daniel Goldman reviews the confirmation hearing for Jeremy Carl and his views about Jews, arguing that he is... Read more > March
May 10, 2026 · via fathomjournal.org
-- On May 8, 2026, the Beijing Innovation Center of Humanoid Robotics hosted a livestream themed around the “Wise KaiWu” Agent. With the goals of being “fully autonomous, more open, and easier to use,” the event showcased breakthroughs in embodied intelligent tactile interaction. Featuring the industry’s first global scene perception and dynamic memory system, the platform enables robots to evolve from passive execution to proactive task handling, and from simple assignments to complex operations, opening up entirely new possibilities for embodied intelligence. Today, global embodied intelligence is rapidly evolving from “being able to converse” to “being able to work,” while AI Agents are moving from the digital realm into the physical world. Wise KaiWu began development a full year earlier than frameworks such as OpenClaw. After 14 months of iteration, it has achieved four major breakthroughs: spatial memory, personalized interaction at scale, one-time development with multi-robot deployment, and real-world robot validation. The result is a mass-producible and reusable professional-grade embodied intelligence solution designed to provide a practical intelligent foundation for household, commercial, and industrial applications. Spatial Memory + Personalized Intelligence: Robots That Understand Both Environments and People 1. Spatial Memory: The Industry’s First Global Dynamic Memory System Beyond “What You See Is What You Get” Traditional robots rely heavily on instantaneous visual input. Once an object leaves the field of view, it effectively “disappears,” and any environmental change can trigger “memory loss,” preventing robots from performing complex reasoning or long-duration tasks. Wise KaiWu Agent introduces the industry’s first global scene perception and dynamic spatial memory system: - Building dynamic semantic maps that record object categories, colors, positions, and spatial relationships while updating them in real time; - Enabling persistent memory across time and viewpoints, allowing robots to accurately locate items even after they leave visual range; - Supporting relational reasoning
May 10, 2026 · via markets.financialcontent.com
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May 9, 2026 · via youtube.com
Disneyland and Disney California Adventure have officially transitioned to using facial recognition technology at most entry gates. This shift aims to streamline park access and enhance fraud prevention by replacing manual ticket checks with biometric validation. While Disney maintains that the system is designed for convenience, the move has reignited a broader conversation regarding data privacy and the normalization of surveillance in public spaces. How the Biometric System Works When a guest approaches a turnstile, a digital photograph is taken and processed through biometric technology. This software converts the physical features of a face into a unique numerical value. To confirm identity, the system compares this value against the image captured when the ticket or annual pass was first used. Disney’s privacy policy states that these numerical codes are typically deleted within 30 days, unless required for legal or security reasons. Industry Trends and Normalization Disney is not alone in adopting these measures. Major venues across Southern California, including the Intuit Dome and Dodger Stadium, have implemented similar programs to speed up entry. Supporters of the technology, including some park guests, suggest that facial recognition is becoming an unavoidable reality of modern life, similar to government and police surveillance. Concerns from Privacy Experts Despite the perceived convenience, legal and privacy advocates raise several critical points: - Constant Surveillance: Critics argue that because faces cannot be hidden, this technology represents a qualitative shift in surveillance where individuals are automatically identified the moment they leave home. - Data Vulnerability: Organizations like the Electronic Frontier Foundation warn that collecting biometric data creates a lucrative target for hackers. Unlike a password, biometric data cannot be changed if a breach occurs. - Accuracy and Bias: Research indicates that facial recognition systems often have higher error rates when identifying women and people of color, leading to
May 9, 2026 · via ubergizmo.com
Preserving tradition requires a new design Patterns used in ethnic clothing, products or other places are important carriers of the cultural heritage of the many ethnic groups in China. They embody rich historical memory, cultural symbolism and artistic value, vividly reflecting the diversity of Chinese civilization. However, many of these valuable pattern resources currently exist only in artifacts, images or oral traditions scattered among communities, museums and private collections. There is no systematic and digitalized integration platform and some patterns are even on the verge of disappearing due to disruptions in cultural transmission. Existing databases are mostly regional and small-scale projects without unified standards or cross-regional coordination, which greatly limits research, preservation and innovative application of these pattern resources. The unique advantages of university libraries in ethnic regions should be leveraged to establish a national database of distinctive ethnic patterns. It would support the preservation and development of traditional Chinese culture and provide foundational resources for China's cultural digitalization strategy, while also strengthening the sense of a shared Chinese national identity. First, the transformation of research outcomes remains limited. In recent years, many studies addressed ethnic patterns, some of which focused on digital technologies and database construction. Yet a relatively small number of databases have actually been completed and put into use, and most of them are small-scale platforms built by individual research groups or enterprises, with limited scope and inconsistent standards. Second, these databases are highly fragmented. Current ethnic pattern databases include industrial databases developed by enterprises, thematic databases built by universities and research teams and intangible cultural heritage databases initiated by local governments. They are largely isolated from one another without any cohesion or sharing mechanism. Third, technological applications lack sufficient cultural depth. Technologies such as AI, big data and virtual reality are increasingly used in pattern recognition,
May 9, 2026 · via chinadaily.com.cn
Summary: As AI energy demands are projected to double by 2030, researchers are developing hardware that mimics the human brain’s extreme efficiency. The study focuses on neuromorphic computing, reimagining computer architecture to process and store information simultaneously, just like biological synapses. By utilizing organic transistors, the team is laying the groundwork for AI that performs complex tasks using a fraction of the power required by conventional chips. Key Research Findings - The Efficiency Gap: While modern data centers are massive energy consumers, the human brain performs complex tasks using only about 20 watts of power. - Synaptic Architecture: Traditional chips separate memory and processing, causing energy-intensive data shuttling; Mizzou’s organic synaptic transistors perform both in the same location to eliminate this bottleneck. - The Interface Discovery: Researchers found that performance isn’t just about the material used, but the interface, the thin boundary where the semiconductor meets the insulator. - Molecular Design: Even small structural differences in materials that look identical on the surface can dramatically change how a synaptic transistor learns and adapts. - Targeted AI Tasks: This neuromorphic hardware is specifically designed to excel at pattern recognition and decision-making while consuming significantly less power. Source: University of Missouri Columbia As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions about sustainability. The solution may lie in neuromorphic computing, an approach that reimagines computer hardware to process information more like biological neural networks rather than conventional chips. “One of the brain’s greatest advantages is its efficiency,” Suchi Guha, a professor of physics in Mizzou’s College
May 9, 2026 · via neurosciencenews.com
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May 9, 2026 · via youtube.com
ICE’s reported smart glasses plan shows how wearable AI could move from consumer curiosity to government enforcement tool before the public has settled the rules. The next important customer for smart glasses may not be a commuter asking an AI assistant for directions. It may be a federal agent trying to identify someone in the field without pulling out a phone. That is the sharper meaning behind ICE’s reported plan to develop its own smart glasses to supplement Mobile Fortify, the facial recognition app already used by immigration officers. According to 404 Media reporting circulated through a Reddit post on Saturday, a DHS official and another person who attended a recent conference described plans for a device that would extend biometric identification into a hands-free format. The details still matter. There is a difference between a concept discussed at a conference, a prototype in procurement, and equipment deployed at scale. But the direction is clear enough to take seriously. ICE already has a mobile app that can use a phone camera for facial recognition in the field. Smart glasses would make that same workflow more ambient, quicker to trigger, and harder for bystanders to notice. For the wearable AI market, that is a meaningful signal. Consumer smart glasses are still trying to prove they can be more than a camera, speaker and chatbot wrapped around a familiar frame. Government buyers have a simpler test. Does the device give personnel faster access to identity, location, records or alerts while keeping their hands free? Startups tend to imagine smart glasses through the consumer lens first. Meta has Ray-Ban smart glasses. Apple keeps pushing spatial computing. Hardware founders talk about ambient assistants, live translation, workplace training and real-time navigation. Those are attractive markets, but they are also slow markets. Consumers care about price,
May 9, 2026 · via startupfortune.com
DeepSeek has officially launched the large-scale image recognition mode for internal testing, marking that this domestic large model has fully entered the era of multimodal interaction between text and images. After a small-scale gray-scale test in late April, DeepSeek significantly expanded access to the "Image Recognition Mode" on May 9th, and most test accounts can now access this feature through an independent entry point in the chat interface. Although the system is still labeled as "in internal testing," its layout, which is listed alongside "Quick Mode" and "Expert Mode" above the input box, indicates that multimodal understanding has become a key component of its core product matrix.
Differing from traditional simple OCR text extraction, the core of DeepSeek's latest upgrade lies in deep image recognition and semantic understanding capabilities. In practical tests, this mode can logically decompose and perceive visual information, supporting users to achieve complex cross-media interactions by directly uploading images. This move fills the gap in DeepSeek's multimodal understanding field, marking a substantial step forward in its pursuit of international top models such as GPT-4o.
May 9, 2026 · via news.aibase.com
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May 9, 2026 · via cureus.com
Nursing Miles with Nursing Smiles…As part of Naval Hospital Bremerton’s National Nurse Week appreciation May 6-12, 2026, Health Promotion and Wellness in collaboration with the command Nurses Association held a Daisy Dash 5K, May 7, part of the weeklong schedule of events. The 3.1-mile run is named after the nurse’s recognition award given worldwide throughout healthcare facilities, including military treatment facilities, for those nurses ‘who display exceptional clinical skills and kindness.’ Nurses Week began May 6, with a traditional Healing Hands ceremony and continues with a confectionary Friday ice cream social, followed by Brunch and Banter on Monday, CREDO [Chaplain Religious Enrichment Development Operation] team building event on Tuesday, and a cake cutting ceremony, promotion for Lt. j.g. Emmanuel Aranda and Daisy Award presentation, May 13, the birthdate of the Navy Nurse Corps Female Finishers 1st – Megan Rawers 2nd – Alice Kate Williams 3rd - Sarah Certano Male Finishers 1st – Ethon Hernandez 2nd– William Birdsong 3rd – Theodore Hospodar (Official Navy photo by Douglas H Stutz, NHB/NMRTC Bremerton public affairs officer). | Date Taken: | 05.07.2026 | | Date Posted: | 05.08.2026 13:04 | | Photo ID: | 9672530 | | VIRIN: | 260508-N-HU933-8700 | | Resolution: | 4511x3858 | | Size: | 2.88 MB | | Location: | BREMERTON, WASHINGTON, US | | Web Views: | 77 | | Downloads: | 0 | This work, Nursing Miles with Nursing Smiles at NHB [Image 2 of 2], by Douglas Stutz, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
May 9, 2026 · via dvidshub.net
Amazon Photos unlimited storage is a genuinely useful perk buried inside Prime membership that most people didn't know they have. This unlimited photo storage is nothing to dismiss, especially as phone libraries balloon into the tens of thousands of images. But the Amazon Photos app has always had a problem: finding anything in it felt like rummaging through a shoebox. A new redesign, rolling out now on iOS with Android to follow, aims to fix that, and the most important upgrade is a natural language search that lets you describe a photo in plain English instead of guessing the exact date it was taken. Search the way you think The old Amazon Photos search required you to know something concrete: a date, a recognized face, a location tag. That works for me if I remember exactly when a thing happened. It fails completely when my memory is fuzzy, which is most of the time. I know firsthand how frustrating that gap is. My mom was sick for several years before she passed, and I had set up an Amazon Echo Show in her room so we could video chat and she could see family photos. During visits, we would often start reminiscing about something we had done together years before, and I would try to find related photos to put on her device. It was almost impossible. Thousands of images, organized by date, with no good way to surface the ones that actually mattered in that moment. Natural language would have let me type descriptions like "beach sunset last summer" or "kids playing in the snow" and get relevant results back without knowing a specific date or album name. Amazon does not detail exactly how the feature works under the hood, but it is clearly drawing on AI image recognition
May 9, 2026 · via techlicious.com
Forsyth Humane Society launches AI tool to help reunite lost pets with owners TO REPORT A LOST PET: https://forsythhumane.org/lost-found/ Thousands of pets go missing each year, and Forsyth Humane Society is rolling out a new tool it says can help families reunite with their animals faster. The Winston-Salem-based organization has launched Petco Love Lost, an AI-powered platform that uses facial recognition to match photos of lost and found pets across shelters and community reports nationwide. The system allows pet owners and people who find animals to upload a photo, then scans a national database and continues monitoring for potential matches. Mark Neff, CEO of Forsyth Humane Society, said common, everyday situations can lead to pets getting out. “The landscaping crew comes in to mow your backyard forgets to latch the gate already one out of three pets is going to go missing in their lifetime so this software this capability will help reunite those animals so much quicker so much more efficiently and safely,” Neff said. Shelter leaders said the technology can help narrow the search, but they emphasized that community involvement remains critical. They are encouraging people to report missing pets quickly, share clear photos and use every available resource, especially in the first hours after an animal disappears. “What were telling people is the tool is there now were directing everyone into one location instantly upload that picture or two if that animal has been reported if it shows up at a shelter you are going to be contacted and you're going to know as quickly as possible where that animal is,” Neff said. Forsyth Humane Society said Petco Love Lost also integrates signals from platforms like Nextdoor and Meta channels, expanding visibility beyond traditional shelter systems. TO REPORT A LOST PET: https://forsythhumane.org/lost-found/
May 8, 2026 · via abc45.com
Abstract Background Infectious keratitis (IK) is a major cause of corneal blindness world-wide, and prompt identification of IK and its etiologic subtype is essential for appropriate management. We developed deep learning (DL) models to detect IK and differentiate common subtypes from slit-lamp photographs. Methods In this retrospective study, slit-lamp photographs were collected from patients presenting to the emergency department of Farabi Eye Hospital (2014–2021) with bacterial keratitis (BK), fungal keratitis (FK), Acanthamoeba keratitis (AK), or herpes simplex keratitis (HSK), along with healthy controls and corneal scars. A total of 13,953 images were included. Three DL classifiers were trained: Model 1 (IK vs. normal), Model 2 (healthy vs. corneal scar vs. IK [pooled subtypes]), and Model 3 (BK vs. FK vs. AK vs. HSK). Results Model 1 achieved 99.9% accuracy for IK vs. normal (ROC-AUC 0.999). In five-fold cross-validation, Model 2 achieved mean accuracy 0.975 (95% CI 0.955–0.996), macro-F1 0.970 (95% CI 0.945–0.995), and macro-average AU-ROC 0.998 (95% CI 0.995–1.000). For subtype classification (Model 3), overall accuracy was 81.6% with balanced recall 83.3%; class accuracies were 88% (BK), 71% (FK), 72% (AK), and 93% (HSK) with ROC-AUCs 0.90–0.98. External validation of Model 3 (Ankara City Hospital; 665 images from 96 patients) showed accuracy 92.5%, macro-F1 93%, macro-average AUROC 0.996, and sensitivities of 95.2% (AK), 92.0% (BK), 85.5% (FK), and 99.5% (HSK). Conclusions DL models applied to slit-lamp photographs showed high performance for IK detection and clinically relevant differentiation of IK from corneal scars and among major IK subtypes, with external validation supporting generalisability. This is a preview of subscription content, access via your institution Access options Subscribe to this journal Receive 18 print issues and online access $259.00 per year only $14.39 per issue Buy this article - Purchase on SpringerLink - Instant access to the full article PDF. USD 39.95
May 8, 2026 · via nature.com
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May 8, 2026 · via instagram.com
Trying to guess who someone is from their childhood photo is weirdly addictive. We’ve already done it with our world leaders quiz and actors quiz, and it’s wild how much some of them still look exactly the same. That got me thinking: can you recognize singers just from pictures of them as kids? Let’s see how good your guessing skills really are!
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May 8, 2026 · via buzzfeed.com
The European Association of Biometrics (EAB) is hosting an EAB lunch talk.
In this talk, Dr. Jennifer Williams explores the intersection of Trusted Research principles and the growing threat of audio deepfakes, examining how synthetic media challenges institutional integrity and societal trust. Drawing on world-leading research in audio forensics and AI-generated speech detection, it addresses the responsibilities institutions bear in both advancing and safeguarding against these technologies.
The discussion highlights practical frameworks for researchers navigating dual-use concerns while contributing to robust defences against digital deception.
Europol has operated secret data analysis platforms containing large amounts of personal information, such as identity documents, without the security…
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May 8, 2026 · via biometricupdate.com
Louisiana bill would bring biometric age checks to bars Louisiana state Sen. Beth Mizell has introduced legislation, SB 499, that would create a new biometric age verification system for people entering premises licensed to serve alcohol, replacing sole reliance on physical or digital IDs with a credential tied to a live facial match. The proposal, titled the “Madison Brooks Law,” would add a new subsection to Louisiana’s Alcoholic Beverage Control Law and would take effect Aug. 1 if enacted. Louisiana’s bill is the clearest example of a proposed bar-entry biometric age-assurance system requiring a QR-linked credential and live facial match before entry. The bill is a response to the January 15, 2023, death of 19-year-old Madison Brooks, who died after being served alcohol underage using another person’s identification. The bill says, “physical and digital identification remain vulnerable to transfer and forgery.” SB 499 would define a “certified biometrically bound age assurance credential” as a digital or physical credential issued by the commissioner of the Office of Alcohol and Tobacco Control. The credential would have to establish or verify a person’s age or age eligibility in compliance with National Institute of Standards and Technology Digital Identity Guidelines, be cryptographically bound to one or more biometric identifiers so it cannot be transferred or shared, and meet applicable age assurance, identity-proofing and security standards. Under the bill, a credential presented in a digital wallet or printed form would have to be accepted by any alcohol permittee as lawful proof of age when its QR code is scanned and a live facial match confirms the holder. The proposal says the system would bind a verified 21-and-over indicator to a one-way facial biometric template inside a tamper-proof QR code. It further states that the facial biometric could not be reverse engineered into an image or
May 8, 2026 · via biometricupdate.com
If there's two things that everybody loves, it's yearbooks and celebrities. Well, this quiz combines both! I'll tell you to identify a celebrity, and then you find them on the grid and tap their image. The catch is that ALL of these photos are childhood pictures, so you'll have to put your facial recognition skills to the test!
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May 8, 2026 · via buzzfeed.com
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May 8th, 2026
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Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most.
May 8, 2026 · via hackernoon.com