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Megan Fox shared sultry photos on Instagram while announcing an ownership stake in Subs.com, the subscription platform co-founded by OnlyFans' Tim Stokely.

A systematic comparison of platinum, palladium, and ruthenium blacks embedded in carbon nanotube composite electrodes reveals analyte-specific catalysis: palladium black delivers the highest hydrogen peroxide sensitivity and faster, stable glucose biosensing, while platinum black leads for nitrite detection.

A federated 4D Gaussian mapping framework lets rescue robots build living maps of collapsing ruins while transmitting only 13.45 MB per round, compressing the model to about 10 percent of its size and converging in 42 federated rounds.

A new conditioned diffusion-based graph attention network from the University of Naples Parthenope delivers probabilistic spatio-temporal forecasts with calibrated uncertainty, ranking among the top models on energy, traffic, and air-quality benchmarks.

[This is a sponsored article written in collaboration with Selangor Information Technology & Digital Economy Corporation (Sidec).] You probably don’t give much thought to drones surveying a plantation. Sure, you might notice it flying across the fields, but not the constant stream of information its sensors process to keep it stable and on course. It’s […]

Bill Gates plans to widen his push on AI safety, Axios reported, citing unnamed sources. He is personally leaning on business leaders and considering a major deployment of his resources, according to the report. “I can reach CEOs on this better than you can.” Bill Gates, to one person he consulted on AI safety, according […] This story continues at The Next Web

More than 400 publications worldwide now take part in Google’s News AI pilot, the company said on Thursday. The programme pays publishers to license content for experimental AI features in Google News. Its newest partners include Axios, CNN, the Financial Times and Forbes. “Through this licensing program, we pay participating news publications for the delivery […] This story continues at The Next Web

Robot teams that can rapidly map unfamiliar buildings, disaster zones, or extraterrestrial terrain have long been a holy grail of robotics, and a new study claims a surprising biological muse for the job: the crayfish. Researchers from Air University in

Can in-house chips pop the AI bubble? Microsoft's Maia 300 makes the case, but Nvidia shrugged off the news with a 1.29% decline.

Google is “starting to get onto that RSI treadmill”, cofounder Sergey Brin said in a roundtable on Gemini 4 Argon, Business Insider reported. Google shared the video on Wednesday. Brin pointed to the Flash models Google released before Gemini 4 as evidence. “And now our researchers and the model work hand in hand to make […] This story continues at The Next Web

Sungkyunkwan University researchers have developed a nanoscale interlayer coating that sharply reduces interfacial contact resistance in protonic ceramic electrochemical cells, boosting both efficiency and durability for hydrogen power generation and production.

High-power electronic devices generate heat at rates that push conventional cooling strategies to their limits, and composite phase-change materials have emerged as one of the most promising answers to this challenge. These materials absorb thermal energy by melting at a

Elon Musk says his time running DOGE showed the US government cannot fix its deficit from the inside. Only AI and robots can, he told biographer Walter Isaacson. Musk made the comments on Isaacson’s new podcast, The Builders, Axios reported in an exclusive on Friday. The show premieres on Tuesday. “The only way we’re going to solve […] This story continues at The Next Web

Robots and AI models together could take on about 80% of the work Americans do, Anthropic says. But robots are cheaper than people for just 0.3% of tasks today. The findings come from Anthropic’s new robotics study, which Business Insider picked up this week. It extends the company’s earlier research on how AI chatbots affect jobs. Different jobs […] This story continues at The Next Web

Qubits, the quantum equivalent of digital bits, are fragile and prone to errors. That makes building reliable quantum computers extremely difficult. One fix has been to use traditional magic state distillation, which filters out flaws, but it is extremely resource-intensive.

Researchers in China have developed an internally validated machine learning model that predicts long-term post-stroke disability from routine admission blood tests.

Researchers in Thailand have developed an explainable deep learning system that diagnoses five causes of vaginal discharge from smartphone photos taken through a standard light microscope, achieving near-perfect specimen-level accuracy.

Researchers trained a deep reinforcement learning agent to plan collision-free paths for a fuel-saving free-floating space manipulator, even with noisy sensor data.

When a swarm of birds scatters to confuse a predator, or a basketball team rotates to defend a fast break, something remarkable happens: individual agents stop acting independently and start behaving as a team. A new mini review published in

In one of the largest studies of its kind, Israeli surgeons completed 39 robotic repairs of rare lateral abdominal wall hernias with no conversions to open surgery, one-day hospital stays for most patients, and no recurrences over roughly 14 months of follow-up.

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Argonne researchers built Phy-ChemNODE, a physics-constrained autoencoder-NeuralODE framework that emulates stiff methane combustion kinetics with 6x to 860x speedups while conserving elemental mass.

Artificial intelligence is quietly transforming two of the most intimate fields of medicine: neuroscience and psychology. A new editorial published in Frontiers in Computational Neuroscience by Lei Lu of King's College London, Zhiqiang Huo of Queen Mary University of London,

The choice of CEACAM5, historically known as carcinoembryonic antigen (CEA) and assigned the cluster designation CD66e, as the model analyte in this study is scientifically deliberate. CEACAM5 is a glycosylated cell-surface glycoprotein belonging to the carcinoembryonic antigen-related cell adhesion molecule

Researchers combined artificial potential field trajectory planning with a discrete integral terminal sliding mode controller to let a Mecanum-wheeled omnidirectional robot dodge static and moving obstacles while tracking its path with high accuracy.

Researchers in Japan have developed a communication-free shepherding algorithm that lets multiple steering agents guide passive flocks using only local observations, achieving near-perfect success rates in simulations.

A new perspective in Frontiers in Neurorobotics proposes that humanoid robots could unlock embodiment-dependent neural signals, such as touch and uncertainty, to train AI systems beyond what vision, language, and passive observation have achieved.

Researchers at the Singapore University of Technology and Design have shown that infrared-assisted automated fiber placement can manufacture carbon fiber-polycarbonate laminates with improved mechanical properties, identifying an optimal process window for defect-free thermoplastic composite structures.

A new c-MVEP paradigm modulates stimuli with pseudo-random zooming motion instead of flicker, reaching 85.67% accuracy in an online BCI and outperforming steady-state motion VEPs while offering a viable non-flickering alternative to c-VEP and SSVEP.

Yonsei University researchers show that low-permeability polystyrene nanoparticles can simultaneously enhance CO2 permeability and selectivity in PEBAX membranes, with the dominant transport mechanism shifting between freestanding and thin-film composite configurations.

A new literature-derived database harmonises aroma data from 103 studies to identify 31 candidate varietal markers, offering a reusable framework for AI-driven wine authentication.

Every heartbeat sends a pulse of blood surging toward the brain, and every shift in body position quietly reshapes how that vital organ is fed. A team of researchers in China has now built an artificial intelligence system that listens

Robot arms have a hidden mathematical problem that most people never think about: for a seven-joint robotic manipulator, there is not one correct answer to where the joints should be, but infinitely many. A research team at Lviv Polytechnic National

Astronomers using the James Webb Space Telescope have discovered that a distant alien planet's atmosphere is surprisingly lopsided. Located 1,300 light-years away, the scorching gas giant WASP-17b experiences powerful winds that redistribute heat, causing one side of its atmosphere to bulge outward. A groundbreaking new mapping technique revealed these hidden distortions, confirming predictions about how extreme temperatures and winds shape alien worlds.

NASA’s James Webb Space Telescope has revealed that a turbulent world 20 light-years away has a surprisingly orderly weather system, with three recurring atmospheric states driven by temperature changes and shifting clouds. The breakthrough gives scientists a powerful new tool for uncovering weather patterns on distant worlds and understanding the conditions that shape their atmospheres.

NASA’s Nancy Grace Roman Space Telescope has exceeded expectations after engineers made incredibly tiny adjustments to sharpen its view of the universe. By moving a mirror just one-sixteenth the width of a human hair, the team helped bring its powerful instruments into near-perfect alignment. Roman’s Wide Field Instrument now produces image quality nearly 30% better than predicted, promising exceptionally sharp cosmic surveys.

Scientists have discovered a surprising two-way relationship between sleep and growth hormone, revealing how the brain carefully balances physical recovery with wakefulness. The findings could help explain why poor sleep harms metabolism and brain health, potentially opening the door to new treatments for sleep and neurological disorders.

Penn State researchers have developed a one-step rapid syphilis test using gold-silver-gold nanoparticles that detects infection earlier by producing test lines up to 46% stronger than conventional gold-based tests.

HUMXN wants to pay for maintenance and repair services for homes in Minneapolis, Chicago, and Miami to gather data to train AI models and robots.

A fake Claude AI download scam uses Google ads and Bing redirects to trick Mac users into pasting a hidden malicious command in their Terminal.

Researchers have shown that a legged robot equipped with a microscopic imager and Raman spectrometer can autonomously survey multiple rock targets in simulated Martian and lunar environments, outperforming traditional single-target exploration in speed while revealing key trade-offs in scientific data quality.

A new meta-analysis of 14 randomized controlled trials finds that wearable lower-limb robotic exoskeleton training modestly improves walking independence, balance, and motor function after stroke, though effects on speed and daily living remain uncertain.

A new graph neural network framework shows that continuous emotional embeddings from disaster images can predict how far and how fast crisis photos spread on social media, offering an interpretable upstream signal for embodied decision support.

A multicenter pediatric cohort study shows that a machine learning model for predicting IVIG resistance in Kawasaki disease loses accuracy over time, and that calendar year adjusted updating can restore its performance.

A knifefish-inspired robot called Naiad combines an undulating ribbon fin with an actively bendable body to achieve agile turning, vertical ascent and navigation of narrow underwater passages.

Researchers embedded Hilbert space-filling curve priors into reinforcement learning, boosting multi-robot ecological survey coverage from 0.589 to 0.895 with DQN and from 0.683 to 0.927 with PPO at sixteen robots, while field trials on two Boston Dynamics Spot robots cut mission time by 31.9 percent and redundancy by 51.6 percent.

Preeti Singh / Bloomberg: A profile of Blackstone President Jon Gray, who is making AI his biggest bet, has built a $200B data center empire, and is building a cloud venture with Google  —  From data centers and chip financing to AI advice on potential deals, the technology is everywhere at the alternative-investment giant

High-speed atomic force microscopy reveals that antibody accessibility of PD-L1 on cancer-derived vesicles differs from protein abundance.

The choice of magnesium as a dopant in hydrated tungsten oxide is notable when considered against the broader landscape of cation substitution in pseudocapacitive metal oxides. Magnesium ions carry a divalent charge similar to the host tungsten-oxygen framework requirements for

Scientists in China have synthesized the first hollow rare-earth-containing high-entropy carbide nanoparticles by one-pot molten-salt electroreduction, achieving a noble-metal-free hydrogen evolution catalyst with an overpotential of 167 mV at 10 mA·cm⁻² in alkaline electrolyte.

Teaching a robot to use two arms at once is one of the hardest problems in robotics. Unlike a single arm, bimanual manipulation demands precise temporal coordination between two manipulators, awareness of complex object interactions, and the ability to generalize

Researchers grew Haldane chains of spin-1 triangulene molecules on a superconducting surface and found that only odd-length chains, with an S = 1 ground state, form Yu-Shiba-Rusinov states, while even-length chains remain decoupled.

Researchers at DFKI and the University of Bremen present new pytransform3d features for transformation graphs, uncertainty propagation, and 3D visualization, demonstrating them on robot hand mapping, state estimation, and quadruped field data.

Dental enamel is the hardest substance in the human body, yet it faces a relentless daily assault. Every sugary snack, every acidic drink, and every colony of cavity-causing bacteria strips away the minerals that give teeth their strength. Once enamel

A systematic review of thirteen studies shows that brain signals called error-related potentials can be decoded to help robots detect their own mistakes and adapt to human collaborators in real time.

A hybrid CNN–BiLSTM network with additive attention classifies brain MRI into four Alzheimer's disease stages with 95.94% slice-level accuracy, while a leakage audit shows the figure is an upper bound.

A recent study may reshape our understanding of brain evolution and open new avenues for studying neurological diseases.

An interdisciplinary research team has developed ARAM, a threshold model explaining when occupants endorse, reject, refrain from or repurpose adaptations performed by robotic building elements such as moving partitions.

The Rubik's Cube has long served as a demanding benchmark for autonomous systems precisely because it compresses so many difficulties into a single, compact object. A solved state requires the machine to perceive forty-three quintillion possible configurations, identify the current

A comprehensive new review maps the full pathway of biomass-derived nanocellulose from agricultural waste extraction through green processing to advanced food packaging, bioactive delivery, and intelligent freshness sensing applications.

A systematic review of 81 studies finds that artificial intelligence is reducing infectious, toxic, and occupational health risks across the entire waste management lifecycle, and argues that institutions must catch up.

A new editorial in Frontiers in Control Engineering surveys how game theory, graph neural networks, and heterogeneous robot teams are reshaping cooperative control in adversarial environments.

A rigorously controlled study finds that adding smoothness regularization and chunk-aware auxiliary supervision to a compact vision-language-action model actually worsens robot manipulation performance, while a training-free inference-time ensembling technique more than doubles success rates.

A national survey of internal medicine residency program directors reveals that formal education on artificial intelligence remains inconsistent across US training programs even as residents informally adopt generative AI tools.

A biomimetic nanoplatform cloaked in microglial cell membranes delivers carbon monoxide, manganese ions, and Gasdermin E across the blood-brain barrier to trigger pyroptosis and remodel the glioblastoma immune microenvironment.

A new iScience study establishes a calibration-to-validation workflow that converts a standard AFM cantilever into a quantitative nanogram-scale mass sensor, verified by finite-element simulation.

A new review showcases how low-cost robotic canes, AI-based diabetic foot screening, and simple EEG analysis tested in real-world clinical settings could make rehabilitation technology affordable and accessible.

A case-level audit of a public thyroid imaging archive finds contradictory labels, leak-prone data splits, and strong evidence that deep learning models exploit acquisition artifacts rather than lesion features alone.

A Chinese research team has uncovered how nano-voids form in irradiated fusion reactor metals and proposed a grain-boundary engineering strategy that actively removes damaging helium instead of merely trapping it.

Artificial intelligence is quietly rewriting one of the oldest problems in data science: predicting what happens next. A new editorial published in Frontiers in Big Data on 10 September 2026, led by Leonard Barolli of the Fukuoka Institute of Technology

The choice of Celosia argentea as a reducing and capping medium reflects a broader trend in green nanomaterials research, in which plants rich in polyphenols, flavonoids, and other secondary metabolites serve dual functions: they reduce metal ions to their zero-valent

A dual-action nanocomposite pairing the quorum-quenching enzyme Est816 with silver nanoparticles reshaped caries-associated biofilms from 30 children, cutting cariogenic genera and disrupting biofilm structure in vitro.

Former psychedelic trial participants describe the gap between seeking treatment and encountering research protocols, and call for structured peer support after trials end.

A Kazakh-Belarusian research team has shown that hundredths of a percent of nanoscale carbon and silica additives can reorganize the internal structure of sand-polymer composites built from recycled polypropylene and LDPE, improving melt flow behavior, adhesion to quartz filler, and thermal stability during processing.

A new preclinical study reports that atovaquone, an approved antiparasitic drug, was reformulated into lactoferrin-based nanomicelles that crossed into the spinal cord of ALS model mice, where the treatment reduced complement activation, suppressed neuroinflammation and preserved neuromuscular function.

A robotic system that imitates human perception of raised fabric structures and fuzzy decision-making achieves a 93.3 percent grasp success rate on crumpled, tangled clothes.

A new dual-modality deep learning framework called DHF-DTI combines sequence and graph data with cross-attention fusion and supervised contrastive learning to predict drug-target interactions more accurately across cross-domain and cold-start scenarios.

Micro- and nanoplastics have now been detected in some of the most intimate environments the human body contains: the placenta, amniotic fluid, umbilical cord blood, and even fetal tissues. A new peer-reviewed review, published open access in the journal Microplastics

Rafe Rosner-Uddin / Financial Times: A profile of Alexandr Wang, who sources say is “an operator”, had “all” of Zuckerberg's support during Meta's AI revamp, and is being touted as his successor  —  The 29-year-old in charge of the company's Superintelligence Labs is being touted as a potential successor to Mark Zuckerberg

... ... The choice of chitosan as the delivery vehicle for this experimental vaccine reflects a growing body of research into biopolymer-based nanocarriers for mucosal immunization. Chitosan, derived from chitin found in crustacean shells, is positively charged at physiological pH,

Researchers have built a large-scale iontronic skin with more than 10,000 sensing units and a neural-hierarchical processing architecture that lets humanoid robots resolve 300-micrometre surface features, transmit tactile data at 100 frames per second and react reflexively to harmful stimuli.

The AFT’s “iron-clad” AI safety standard was signed with the company that funds the union’s own AI academy, then carried to a platform shared with the fascist strategist Steve Bannon.

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Cate Lawrence / Tech.eu: London-based Scarlet, which certifies AI and software for medical devices, raised a $50M Series B led by Headline to support its US and Asia-Pacific expansion  —  Led by Headline, the funding will support the London-based company's expansion into the US and Asia-Pacific as it tackles lengthy …

Every dyed fabric tells a story of slow defeat. Sunlight, moisture, and heat conspire to break the chemical bonds that give textiles their color, and the industry's standard measure of that defeat — lightfastness — has long been determined the

Duncan Riley / SiliconANGLE: Mistlabs, which develops Ambi, an ambient AI app for iPhone, Apple Watch, and Mac that learns about users from conversations, raised a $26M pre-Series A  —  Ambient intelligence startup Mistlabs Ltd. today brought its Ambi artificial intelligence system out of beta test on Apple Inc. devices, backed by $26 million in new funding.

Surgeons in India have reported the first use of intraoperative fascial traction inside a robotic enhanced-view totally extraperitoneal hernia repair, a combination that allowed six patients with very large ventral hernias to leave the operating room with their abdominal midline

Robotic exoskeletons and gait-training machines have become fixtures of modern stroke rehabilitation, promising thousands of precisely dosed, physiologically informed repetitions that human therapists alone cannot deliver. Yet a sweeping reappraisal of the evidence behind these devices suggests clinicians should temper

The 30th ILTS Congress in Singapore showcased robotic donor surgery, machine perfusion biomarkers, AI-driven prediction and xenotransplantation milestones, revealing a liver transplant field at a genuine inflection point.

When a human and a robot share a workbench, the biggest bottleneck is not the machine. It is the human brain, forced to juggle competing demands at once. A new empirical study from Ben-Gurion University of the Negev, published in

Artificial intelligence has long been accused of being a black box, especially in medicine, where a wrong answer can change a life. Now a research team spanning Pakistan, Saudi Arabia and the United Kingdom has built an AI system that

A new YOLO-based framework called GSDD-Net detects subtle gear surface defects in cluttered industrial images with higher accuracy, a smaller model size, and faster inference than existing detectors.

A neural network trained on unlabeled drone imagery of lupine, maize, soybean, and sunflower taught itself to distinguish crop types and management practices, then predicted yields with competitive accuracy and greater robustness than conventional supervised models.

Brain-computer interfaces promise to restore movement and communication to people whose nervous systems no longer can, but the technology has long been caught between two imperfect options. Implanted electrode arrays such as the Utah array deliver exquisite resolution yet require

Robotic grippers—the fingers, suction cups, and adhesive pads through which machines touch the physical world—have quietly become one of the most consequential technologies in modern automation. A comprehensive new review from researchers at Cranfield University's Centre for Robotics and Assembly,

A new review in the Journal of Pharmaceutical Investigation maps how quality by design principles can systematically guide drug nanocrystal development from stabilization chemistry to industrial scale-up.

Researchers have used femtosecond laser pulses to rearrange gold nanoparticles inside yttrium aluminum garnet crystals, creating embedded chiral nanostructures that can distinguish left- from right-circularly polarized light.

A Tsinghua University review details how optical pre-sensor computing embeds computation into light propagation before detection, promising efficient visual perception for physical AI systems.

Researchers at the Italian Institute of Technology have unveiled ISEED, an always-on cognitive architecture that lets a humanoid robot head build personal, experience-driven knowledge of its social world without task-specific training.