Author(s): Jerry C. Wang, Damian Sanchez, Santhosh Arul, Belda Gülsuyu, Adnan Gopinadhan, Tanzila Mukhtar, Joseph Kim, John P. Andrews, Marcus Alonso Cee Williams, Yewon Jung, Mana L. Hashimoto, Chang N. Kim, Shubhang Bhalla, Nathan A. Ewing-Crystal, John M. Bernabei, Vijay Letchuman, Alexander F. Haddad, Kafi Hemphill, Shantel M. Weinsheimer, Helen Kim
Author(s): Ricardo Barrientos, Billie Meadowcroft, Besaiz J. Sánchez-Sánchez, Brian M. Stramer, Ewa K. Paluch, Guillaume Charras, Shiladitya Banerjee, Anđela Šarić, Yanlan Mao
Author(s): Qiushuang Wu, Lara M. Seydlitz, Vladislav Iakimov, Dennis J. Hsu, Parham Habibzadeh, H. Heinrich Hoffmann, Philip B. Paty, Charles M. Rice, Sohail F. Tavazoie
Author(s): Alex C.Y. Chen, Keely Y. Ji, Cansu Yerinde, Nelson H. Knudsen, Kevin Bi, Shumeng Hao, Vasyl Zhabotynsky, Daniela Martinez, Thomas J. Carmona-LaSalle, Kazuhiro Taguchi, Katherine H. Xu, Elizabeth M. Seider, Marc A. Schwartz, Maria Zschummel, Linda T. Nieman, Kathleen B. Yates, Francesca S. Gazzaniga, Brian C. Miller, Thorsten R. Mempel, Robert T. Manguso
Author(s): Megan Wang, Kanta Yoneyama, Rimantė Žedaveinytė, Junichiro Ishikawa, Stephen Tang, Hoang C. Le, Tanner Wiegand, Josephine L. Ramirez, Naoto Nagahata, Yanzhe Ma, Dennis J. Zhang, Erick Helmeczi, Mirela Berisa, Marko Jovanovic, Masahiro Hiraizumi, Keitaro Yamashita, Hiroshi Nishimasu, Samuel H. Sternberg
Palantir moves AI computing from distant clouds directly into combat zones
Containerized data centers process battlefield intelligence without permanent cloud connectivity
Nvidia B300 accelerators power deployable AI systems for frontline operations
Palantir Technologies and its infrastructure partner Armada have begun deploying mobile data centers built inside standard shipping containers for combat zones.
Each unit carries its own computing hardware, storage arrays, networking gear, and cooling systems needed to run advanced artificial intelligence models.
The servers run on Nvidia's B300 AI accelerators, while Palantir's modular AIP platform links the models directly into operational workflows and other company tools.
Processing power without a constant cloud link
Chad Wahlquist, a Forward Deployed Architect at Palantir Technologies, appeared inside one containerised data center during the July 2026 announcement introducing the mobile computing platform.
Unlike conventional cloud-based systems, these containerized units can process information without maintaining any constant connection to public cloud infrastructure.
They can also be fully isolated from external networks whenever operational security requirements demand a stricter level of separation at all times.
The outcome is a self-contained computing node able to analyze intelligence and sensor data right at the point where it is collected.
Distributed computing also offers stronger resilience than depending entirely on one single, centralized data center to run every operation across a wide area.
Losing contact with the cloud, or even losing one mobile node entirely, would not necessarily shut down the whole system.
Other units could keep processing information locally, since the entire network does not depend on one central point of failure.
Bringing AI closer to the battlefield
For military users, the concept brings advanced artificial intelligence much closer to sensors, field commanders, and units already deployed on the ground.
This reduces dependence on communications links that remain vulnerable to jamming, interception, or outright physical destruction during active combat operations.
Instead of sending every piece of battlefield data back to a distant cloud, analysis can occur inside a deployable container placed close to the action.
Alex Karp, the billionaire co-founder and chief executive of Palantir, has praised Ukraine's wartime innovation cycle as instructive for allies.
He has argued that the war is exposing a widening gap between military theory and the reality of modern combat.
Karp credited Ukrainian engineers and soldiers with adapting battlefield technology at a pace unmatched by most peacetime institutions worldwide.
He suggested that this rapid development cycle is teaching the United States and Europe lessons unavailable in traditional laboratories or think tanks.
Whether these containerized AI systems truly perform as promised under sustained combat stress remains an open question.
As of the time of writing, there is no public independent verification of the technology's actual battlefield performance by Palantir, Armada, or any military partner.
Autistic children showed earlier and less age-related refinement in the brain signals involved in processing faces. A child looks at a face, and within milliseconds the brain begins sorting its features, expression, and identity. Researchers have now traced that process across the entire scalp in one of the most comprehensive studies of face perception in [...]
A new Google Earth tool allowed the creation of A.I. deepfake maps. The tech giant quickly pulled it back after a backlash and concerns about disinformation risks.
Approximately 40% of insect species worldwide are thought to be in decline and under threat of extinction. Among the key causes are habitat loss, pollution and climate change. Another threat is artificial light from sources like streetlights and security lamps. In new research published in the journal Biological Conservation, scientists say a simple change in artificial lighting could help reduce this particular threat.
Falls among older adults often begin with changes too subtle to be noticed during an ordinary walk. A person may still appear steady while moving through a familiar environment, yet struggle when asked to divide attention between walking and another task. A new study by researchers Dong, Hu, Guo and colleagues examines whether machine-learning techniques can identify this hidden vulnerability in community-dwelling older adults by analyzing how gait changes during dual-task walking. Published in BMC Geriatrics in 2026, the research focuses on a potentially powerful combination of digital movement measurement and artificial intelligence: spatiotemporal gait parameters recorded while people walk and perform a second mental or motor activity.
Walking is not a single, automatic action. It requires continuous coordination between the brain, muscles, sensory systems and balance mechanisms. When a person walks while counting backward, answering questions or carrying an object, the nervous system must distribute attention between locomotion and the competing task. This is known as dual-task walking. Older adults who have limited cognitive or physical reserve may respond by slowing down, shortening their steps, widening their base of support or becoming more irregular in their timing. These adaptations can provide clues about fall susceptibility that may remain invisible during conventional clinical walking tests.
The study’s central idea is that gait should be evaluated under realistic cognitive pressure rather than only in ideal, distraction-free conditions. Spatiotemporal gait parameters describe measurable features of movement across time and space, including walking speed, stride length, step time, cadence, stance duration and the variability between consecutive steps. In a dual-task setting, researchers can also examine the degree to which these variables change compared with normal walking. This difference, often called dual-task cost, can reveal how much a person’s mobility is affected when attention is divided. A larger cost may indicate reduced ability to manage competing demands while remaining stable.
Machine learning offers a way to analyze these patterns simultaneously. Traditional clinical assessment may focus on one or two measurements, such as walking speed or the number of previous falls. A machine-learning model can process many variables at once and search for combinations associated with elevated risk. Depending on the model design, the system may learn from labeled examples, in which participants’ gait data are linked to fall-related outcomes, and then estimate risk for new individuals. Algorithms can detect nonlinear relationships that are difficult to capture with conventional statistical methods, although their usefulness depends heavily on the quality, size and representativeness of the data used for training.
The community setting is especially important. Many studies of balance and falls are conducted in hospitals or specialist laboratories, where participants may be healthier, more closely supervised or less representative of the broader older population. Community-dwelling adults live independently and encounter the complex conditions that make falls more likely: distractions, uneven surfaces, hurried movement, household obstacles and the need to perform several tasks at once. By focusing on this group, the research addresses a practical question for preventive medicine: can accessible gait testing identify people who appear independent but may require additional support before a serious fall occurs?
A potential advantage of this approach is its ability to move fall-risk assessment toward objective, repeatable measurement. Gait sensors, pressure-sensitive walkways, wearable devices or camera-based systems can convert movement into numerical data. Those data may be more sensitive than a brief visual observation, particularly when they capture step-to-step variability and changes induced by a secondary task. In the future, similar measurements could potentially be collected in clinics, rehabilitation centers or even at home. However, a prediction tool would need to be tested across different ages, health conditions, walking environments and technology platforms before it could be trusted for widespread use.
The research also highlights the technical challenges behind apparently simple predictions. Falls are influenced by numerous factors, including muscle strength, vision, medication use, reaction time, fear of falling, neurological disease and environmental hazards. Gait features alone cannot explain every incident. A machine-learning model may also perform impressively on the data used to develop it but less reliably on people from another population, a problem known as limited generalizability or overfitting. For clinical adoption, researchers must therefore evaluate calibration, sensitivity and specificity, test the model on independent datasets and make its decisions understandable to health professionals and patients.
Although the citation identifies the study’s objective and methodology, it does not provide detailed numerical findings such as sample size, predictive accuracy or the specific algorithm used. Those results will determine how close this technology is to practical deployment. Even so, the study reflects a broader shift in geriatric care: fall prevention is increasingly being treated as a problem of measurable, dynamic performance rather than a simple checklist of past incidents. By combining dual-task gait analysis with machine learning, the researchers are investigating whether the body’s response to distraction can serve as an early warning signal—one that could eventually help clinicians intervene before a dangerous fall changes an older person’s independence.
Subject of Research: Fall-risk prediction in community-dwelling older adults using machine learning and dual-task spatiotemporal gait parameters.
Article Title: Machine learning-based fall risk prediction in community-dwelling older adults using dual-task spatiotemporal gait parameters.
Article References: Dong, G., Hu, H., Guo, Y. et al. “Machine learning-based fall risk prediction in community-dwelling older adults using dual-task spatiotemporal gait parameters.” BMC Geriatrics (2026). https://doi.org/10.1186/s12877-026-07998-3
Quem busca por um monitor com a resolução 2560x1440, também conhecida como QuadHD, quer maior fidelidade gráfica em relação ao Full HD. Essa quantidade de pixels na tela tem sido a configuração intermediária para os PC gamers, proporcionando ótima qualidade gráfica, especialmente em uma tela de 27 polegadas, pela densidade de pixels, como também altas taxas de FPS, algo que não é tão simples em 4K.
Enquanto o 1080p costuma sobrecarregar a CPU, em QHD a placa de vídeo passa a ser o componente mais exigido, embora ainda exista um certo equilíbrio com o processador.
Para ajudar você a estressar o seu hardware e verificar a estabilidade do sistema, selecionamos os 5 melhores jogos para testar o seu PC gamer em QHD.
1. Cyberpunk 2077
Mesmo anos após o seu lançamento original, Cyberpunk 2077 ainda é um dos principais benchmarks para qualquer nível de PC. Na resolução QHD, a densidade visual de Night City ganha mais nitidez comparada com 1080p, mas cobra o seu preço.
O jogo é amplamente reconhecido por levar as tecnologias de Ray Tracing e Path Tracing ao limite, exigindo que a placa de vídeo processe reflexos em superfícies molhadas, iluminação global e sombras de alto nível em tempo real, empurrando o uso da GPU frequentemente para os 100%.
No entanto, engana-se quem pensa que o título da CD Projekt Red castiga apenas o chip gráfico. Devido à sua natureza de mundo aberto massivo, com inteligência artificial complexa para pedestres, tráfego intenso de veículos e transições dinâmicas de cenários, Cyberpunk 2077 também exige um processamento massivo por parte da CPU.
Testar sua máquina em 1440p permite avaliar perfeitamente o equilíbrio do desempenho do conjunto, garantindo que o processador consiga empurrar a GPU de forma fluida sem causar engasgos ou gargalos em áreas de aglomeração urbana.
2. Crimson Desert
Crimson Desert é exigente, mas bem otimizado. O game estabeleceu um novo patamar para os visuais de mundos abertos na atualidade, principalmente quando falamos de natureza. Rodar este título na resolução QHD revela a riqueza de detalhes do continente de Pywel, destacando uma física avançada de deformação do terreno, tecidos realistas e uma vegetação extremamente densa que reage dinamicamente ao vento e às ações dos personagens, como The Witcher 3 já fazia há uma década.
A imensidão dos cenários cria um ambiente de estresse constante sobre a largura de banda da memória RAM e a velocidade de leitura do SSD NVMe, eliminando qualquer margem para travamentos. Além disso, as transições fluidas entre a exploração de planícies e as cutscenes exigem que a placa de vídeo processe efeitos climáticos pesados em tempo real.
3. Forza Horizon 6
Forza Horizon 6 eleva a barra visual ao integrar o Ray Tracing diretamente durante a jogabilidade em mundo aberto, e não apenas no modo de visualização de garagem. Em 1440p, a combinação de alta velocidade com reflexos gerados por traçado de raios nas carrocerias dos carros e poças d'água cria uma experiência que impressiona. O hardware é desafiado a processar cenários vastos e detalhados que passam pela tela a mais de 300 km/h, exigindo renderização veloz sem margem para atrasos.
Esse dinamismo faz o jogo de corrida da Playground Games um excelente termômetro para verificar a estabilidade de quadros por segundo e o tempo de resposta (frametime) do seu sistema. Como as corridas envolvem múltiplos competidores e efeitos de iluminação em constante mudança sob diferentes condições climáticas, o jogo coloca à prova a eficiência da arquitetura da sua placa de vídeo em lidar com Ray Tracing em alta resolução sem depender exclusivamente de técnicas de upscaling. Uma performance fluida aqui indica um sistema perfeitamente calibrado para jogos de alta taxa de atualização em 1440p.
4. Pragmata
O grande destaque técnico de Pragmata está no uso intensivo de Path Tracing, principalmente em reflexos nas inúmeras superfícies reflexivas dos ambientes da estação espacial do game. Em QHD, isso resulta em ambientes ainda mais detalhados, mas com um preço altíssimo.
A aplicação do Path Tracing torna Pragmata um verdadeiro triturador de placas de vídeo em 1440p, sendo o teste pesadíssimo para os núcleos de aceleração de Ray Tracing da sua GPU, seja uma GeForce ou Radeon. O nível de estresse gráfico gerado por essa tecnologia obriga o uso de reconstrução de raios e exige bastante da memória de vídeo.
5. Spider-Man 2
A chegada de Spider-Man 2 aos PCs trouxe uma Nova York virtual com um nível de complexidade e fidelidade geométrica sem precedentes. Rodando em 1440p, os reflexos por Ray Tracing nas janelas de vidro dos arranha-céus e a iluminação global que interage com o balanço do "Miranha" transformam o visual do jogo em um espetáculo à parte. O título exige muito poder de processamento bruto da placa de vídeo para calcular a oclusão de ambiente e as sombras detalhadas de uma metrópole densamente povoada, algo que também pesa bastante na CPU.
Além do poder gráfico, a locomoção em alta velocidade pelos cenários através das teias ou das asas de teia impõe um desafio considerável ao armazenamento da máquina. O jogo usa ao máximo as tecnologias de streaming de assets direto do SSD, exigindo que o processador trabalhe em perfeita harmonia para descompactar dados em tempo real e evitar quedas brutas de performance.
Manter a estabilidade em Spider-Man 2 em 1440p com Ray Tracing ativado comprova que o seu PC possui um ótimo equilíbrio entre largura de banda, armazenamento e processamento gráfico.
Essa lista poderia ser ainda maior com jogos como Horizon Forbidden West, Resident Evil Requiem, Alan Wake 2, Red Dead Redemption 2, entre outros, mas são estes os melhores jogos para testar o PC gamer em QHD que o Canaltech escolheu:
During my years as a TechRadar Homes Editor, I tested an awful lot of vacuums. But the one that's been my constant companion throughout has been the Dyson V15 Detect. It's not a review sample — my partner bought it, and it's the vacuum we've been using at home for the past 21-plus months. It's been used to clean hard tile floors, carpets, lots of stairs, and a whole heap of dog hair.
The V15 is not the newest Dyson vacuum. It came out in 2021 and there are now two newer flagship models: the Gen5detect (launched 2022) and the V16 Piston Animal (2025). However, despite not being the latest-and-greatest, it's still the model that sits atop our best Dyson vacuum guide.
So after nearly two years of regular cleaning with the V15, would I still recommend it? How does it match up against the rest of the best cordless vacuums on the market — and specifically, the newest models from Dyson's great competitor, Shark? Here's my long-term review.
Smooth mover
Let's start with what I love about our Dyson dust-sucker. The suction is excellent, and the Auto mode (where the suction will increase or decrease depending on how much dirt is detected on the floor) is a very welcome addition. I use this mode almost exclusively, and it can be relied upon to do a thorough job of clearing whatever debris has gathered on the floor. I haven't noticed a drop in cleaning performance over our two years of use.
The V15 is also extremely easy to maneuver. Our home has lots of stairs, and plenty of nooks and crannies where dust and hair like to collect and lurk, and the V15 Detect does a great job of getting into all of them. I love how easily and smoothly the head pivots, and the fact it can lie completely flat to the ground for cleaning under beds.
Many of the newest Shark vacuums have a hinge on the vacuum wand, which enables it to bend forwards for cleaning under furniture. It works well, but adds bulk to the wand, and the whole thing is slightly unwieldy in its folded state. For my home, the Dyson setup works perfectly well, but if you're lacking in maneuvering room, perhaps Shark's 'MultiFlex' / 'Flexology' solution would be a better fit.
The hidden crevice tool is a lifesaver in my tall home (Image credit: TechRadar / Sharmishta Sarkar)
I'm also a huge fan of the Dyson V15's secret crevice tool. It's hidden in the wand, so I'm never without it. Our house is tall and thin, with four floors, and this built-in tool means that if I spot a dusty corner at the top of the house, I don't have to traipse all the way down to the utility room to fetch a detail tool to deal with it. As far as I'm aware, this feature is exclusive to Dyson at the moment.
Having tested a number of vacuums from Dyson and various other brands, I'm always struck by how consistently high quality and well-built the Dyson vacs feel. There's a strong attention to detail in the design, and they feel sturdy and reliable. That's still true of the V15 after nearly two years of use.
Lasers and data
Now on to a couple of features that have divided opinion within my household. The V15 comes with a couple of different floorheads: the Digital motorbar head, which has bristles and is designed for use on any floor type, and the Fluffy optic head, which is entirely soft and built for use on hard flooring. The latter is equipped with a green light to illuminate dust.
I love using the light on the soft floorhead to chase down dust bunnies (Image credit: Future)
I'm very on board with the Fluffy floorhead. I love that it feels gentle on our tiled kitchen floor (and doesn't clatter over it as most vacuum cleaner heads will), and I appreciate the way the light draws attention to dust and hair lurking in dingy corners. I find it very satisfying to then whisk that dust away, and always feel I'm getting a far more thorough clean than I would without this feature.
However, my partner is not so enamored with the Fluffy floorhead. He feels the Digital motorbar floorhead works perfectly well on hard floors, and it's not worth the hassle of swapping the heads over.
Both the V15 and the Gen5detect (pictured) have real-time dust reports (Image credit: Future)
Then there are the real-time dust reports on the screen. I find these endlessly fascinating, and I enjoy seeing the dust hotspots causing the bar graphs to spike. However, when I asked my partner for his thoughts, it became clear that not only was he not paying them any attention, but he didn't really know what they were. Is is possible the general public is just not as invested in the intricacies of vacuum cleaning as I am? Maybe.
Bulking up
Moving on to the down-sides of the V15. The most significant complaint I have with it is that V15 Detect is that it's pretty heavy. Further to that, the weight is concentrated in the main motor section, which itself is rather elongated in shape. That makes it rather unwieldy, and especially when used in handheld mode.
The V15 (background) and newer Dyson vacuums have a rather heavy, elongated motor section, which can make them a little awkward to use (Image credit: Future)
All of Dyson's newer vacuums (I'd say from this model onwards — so the V15, the Gen5detect and the V16 Piston Animal) suffer from this weight distribution issue.
Looking to Shark's range, the fancier models, such as the PowerDetect Cordless, are actually heavier overall. However, the motor/handle section is more squat in shape, and there's more weight through the wand and into the floorhead. That means more even weight distribution, which can make for a more comfortable vacuuming experience.
A triggering issue
Another big complaint I have with the V15 is that it's trigger-operated, with no option to lock it for continual running. I find that irritating when I'm using the vacuum for long periods, or trying to get into awkward corners while keeping the trigger compressed.
I prefer the setup on Dyson's newer models, where there's a one-press power button. However, that's still not perfect — it requires you to have a hand free to turn the machine on and off, because the power button is not reachable from your holding hand.
Most modern Shark models use button operation, and just like the Dyson designs, you can't reach the button from your holding hand. My ideal design is one where the vacuum is trigger-operated but with a lock for continual running. No Dyson vacuum has this setup, and neither do any of Shark's newest stick vacs, although that brand's range is so sprawling you might find a trigger-plus-lock design somewhere.
The V15 (foreground) switches on and off with a trigger on the handle — which can be frustrating when using it for longer cleaning sessions (Image credit: Future)
One comment that I hear sometimes about Dyson stick vacuums is that they don't always last as long as customers expect. Our V15 is still going strong after just under two years (which is actually at the lower end of how long cordless vacuums are meant to last, although most people would probably hope for longer).
Prior to that, my partner had a Dyson Cyclone V10, which lasted over five years. At that point the battery conked out, and replacing it only fixed the issue for a few months. I think that's a decent lifespan for a vacuum, but your mileage may vary.
Is it worth it?
After two years using my Dyson V15, I'd still recommend it. Its cleaning powers are excellent with no signs of fading, its special features genuinely useful, and I love how maneuverable it is.
I personally also prefer it to Shark's newest models. I cover my main thoughts on this in my Shark vs Dyson article, but as a short overview, it's special features feel superior — Dyson's laser lights are far more effective than Shark's headlamps, and its Auto mode feels more precise. The Dyson also pivots more smoothly and the overall design feels sleeker and more high-end.
However, it's not a clear-cut decision. The Shark PowerDetect Cordless offers the best outright cleaning performance of any vacuum I've used, including all the Dyson models. Shark's models also arguably deliver better value for money — although its higher-spec models still sit in the premium price tier.
The bottom line? After using the V15 for a couple of years, and testing multiple other vacs from different brands including Shark, I'm still something of a Dyson fan-girl. When our at-home vac finally bites the dust, we'll probably end up buying another Dyson, although I will still be checking out what Shark has to offer...
Tras 30 años sin excavarse, Villa Sora revela un techo con grifos, garzas doradas y un ictiocentauro alado como protagonistas. La mansión seguía en reformas cuando el Vesubio entró en erupción-
A study found that unsweetened sparkling water lowers oral pH less than soda sweetened with sugar. A sip of sparkling water briefly makes the mouth more acidic, but not nearly as much as sugar-sweetened soda, according to a comparison of several common beverages. The findings suggest that choosing an unsweetened carbonated drink instead of soda [...]
Arts Council England is facing a backlash for splurging millions of taxpayers' pounds on projects like queer cabaret, gender-diverse kids' shows and identity workshops while traditional museums are closing their doors.
Login
