Interestingly, however, despite Komatsu’s early lead, Vermeer and Interlune seem to have caught up and could be ahead. For example, the new prototype is bigger and full-scale, showing great promise through testing.
The Vermeer-Interlune excavator has a larger excavation capacity, more funding and government support. To this end, Interlune is targeting a lunar mission by 2030.
“The high-rate excavation needed to harvest helium-3 from the moon in large quantities has never been attempted before, let alone with high efficiency,” said Gary Lai, Interlune co-founder and CTO.
Classical biomedical data science models are trained on a single modality and aimed at one specific task. However, the exponential increase in the size and capabilities of the foundation models inside and outside medicine shows a shift toward task-agnostic models using large-scale, often internet-based, data. Recent research into smaller foundation models trained on specific literature, such as programming textbooks, demonstrated that they can display capabilities similar to or superior to large generalist models, suggesting a potential middle ground between small task-specific and large foundation models. This study attempts to introduce a domain-specific multimodal model, Congress of Neurological Surgeons (CNS)-Contrastive Language-Image Pretraining (CLIP), developed for neurosurgical applications, leveraging data exclusively from Neurosurgery Publications.
METHODS:
We constructed a multimodal data set of articles from Neurosurgery Publications through PDF data collection and figure-caption extraction using an artificial intelligence pipeline for quality control. Our final data set included 24 021 figure-caption pairs. We then developed a fine-tuning protocol for the OpenAI CLIP model. The model was evaluated on tasks including neurosurgical information retrieval, computed tomography imaging classification, and zero-shot ImageNet classification.
“Space weather can impact systems that use IT for critical functions and everyday processes,” James Spann, a senior scientist at the Office of Space Weather Observations at the U.S. National Oceanic and Atmospheric Administration’s (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) department, told Space.com in an email. “These space weather impacts can have the same symptoms as a cyberattack, where systems will be brought down, or lockup, or transmit erroneous information.”
NESDIS oversaw a tabletop space weather exercise conducted in May 2024, the first such drill testing the U.S. preparedness for a major solar storm. Results of the exercise, which brought together 35 US government agencies, were published in a report in April.
In one of the simulations during the exercise, NOAA and the U.S. Air Force reported a severe solar flare and radio burst, but another federal department or agency “reported contradictory information, suggesting that the radio and communications disruptions were possibly the result of a cyberattack,” according to the report. Above all, it showed the need for effective communication following such events.
AI surveillance, AI surveillance systems, AI surveillance technology, AI camera systems, artificial intelligence privacy, AI tracking systems, AI in public surveillance, smart city surveillance, facial recognition technology, real time surveillance ai, AI crime prediction, predictive policing, emotion detecting ai, AI facial recognition, privacy in AI era, AI and data collection, AI spying tech, surveillance capitalism, government surveillance 2025, AI monitoring tools, AI tracking devices, AI and facial data, facial emotion detection, emotion recognition ai, mass surveillance 2025, AI in smart cities, china AI surveillance, skynet china, AI scanning technology, AI crowd monitoring, AI face scanning, AI emotion scanning, AI powered cameras, smart surveillance system, AI and censorship, privacy and ai, digital surveillance, AI surveillance dangers, AI surveillance ethics, machine learning surveillance, AI powered face id, surveillance tech 2025, AI vs privacy, AI in law enforcement, AI surveillance news, smart city facial recognition, AI and security, AI privacy breach, AI threat to privacy, AI prediction tech, AI identity tracking, AI eyes everywhere, future of surveillance, AI and human rights, smart cities AI control, AI facial databases, AI surveillance control, AI emotion mapping, AI video analytics, AI data surveillance, AI scanning behavior, AI and behavior prediction, invisible surveillance, AI total control, AI police systems, AI surveillance usa, AI surveillance real time, AI security monitoring, AI surveillance 2030, AI tracking systems 2025, AI identity recognition, AI bias in surveillance, AI surveillance market growth, AI spying software, AI privacy threat, AI recognition software, AI profiling tech, AI behavior analysis, AI brain decoding, AI surveillance drones, AI privacy invasion, AI video recognition, facial recognition in cities, AI control future, AI mass monitoring, AI ethics surveillance, AI and global surveillance, AI social monitoring, surveillance without humans, AI data watch, AI neural surveillance, AI surveillance facts, AI surveillance predictions, AI smart cameras, AI surveillance networks, AI law enforcement tech, AI surveillance software 2025, AI global tracking, AI surveillance net, AI and biometric tracking, AI emotion AI detection, AI surveillance and control, real AI surveillance systems, AI surveillance internet, AI identity control, AI ethical concerns, AI powered surveillance 2025, future surveillance systems, AI surveillance in cities, AI surveillance threat, AI surveillance everywhere, AI powered recognition, AI spy systems, AI control cities, AI privacy vs safety, AI powered monitoring, AI machine surveillance, AI surveillance grid, AI digital prisons, AI digital tracking, AI surveillance videos, AI and civilian monitoring, smart surveillance future, AI and civil liberties, AI city wide tracking, AI human scanner, AI tracking with cameras, AI recognition through movement, AI awareness systems, AI cameras everywhere, AI predictive surveillance, AI spy future, AI surveillance documentary, AI urban tracking, AI public tracking, AI silent surveillance, AI surveillance myths, AI surveillance dark side, AI watching you, AI never sleeps, AI surveillance truth, AI surveillance 2025 explained, AI surveillance 2025, future of surveillance technology, smart city surveillance, emotion detecting ai, predictive AI systems, real time facial recognition, AI and privacy concerns, machine learning surveillance, AI in public safety, neural surveillance systems, AI eye tracking, surveillance without consent, AI human behavior tracking, artificial intelligence privacy threat, AI surveillance vs human rights, automated facial ID, AI security systems 2025, AI crime prediction, smart cameras ai, predictive policing technology, urban surveillance systems, AI surveillance ethics, biometric surveillance systems, AI monitoring humans, advanced AI recognition, AI watchlist systems, AI face tagging, AI emotion scanning, deep learning surveillance, AI digital footprint, surveillance capitalism, AI powered spying, next gen surveillance, AI total control, AI social monitoring, AI facial mapping, AI mind reading tech, surveillance future cities, hidden surveillance networks, AI personal data harvesting, AI truth detection, AI voice recognition monitoring, digital surveillance reality, AI spy software, AI surveillance grid, AI CCTV analysis, smart surveillance networks, AI identity tracking, AI security prediction, mass data collection ai, AI video analytics, AI security evolution, artificial intelligence surveillance tools, AI behavioral detection, AI controlled city, AI surveillance news, AI surveillance system explained, AI visual tracking, smart surveillance 2030, AI invasion of privacy, facial detection ai, AI sees you always, AI surveillance rising, future of AI spying, next level surveillance, AI technology surveillance systems, ethical issues in AI surveillance, AI surveillance future risks.
Artificial intelligence could be affecting the scientific rigor of new research, according to a study from the University of Surrey.
The research team has called for a range of measures to reduce the flood of “low-quality” and “science fiction” papers, including stronger peer review processes and the use of statistical reviewers for complex datasets.
In a study published in PLOS Biology, researchers reviewed papers proposing an association between a predictor and a health condition using an American government dataset called the National Health and Nutrition Examination Survey (NHANES), published between 2014 and 2024.
A new technique that uses soundwaves to separate materials for recycling could help prevent potentially harmful chemicals leaching into the environment.
Researchers at the University of Leicester have achieved a major milestone in fuel cell recycling, advancing techniques to efficiently separate valuable catalyst materials and fluorinated polymer membranes (PFAS) from catalyst-coated membranes (CCMs). The articles are published in RSC Sustainability and Ultrasonic Sonochemistry.
This development addresses critical environmental challenges posed by PFAS—often referred to as “forever chemicals”—which are known to contaminate drinking water and have serious health implications. The Royal Society of Chemistry has urged government intervention to reduce PFAS levels in UK water supplies.
Recent Extinction Rebellion protests saw key sites across London shut down in an attempt to force the government to declare an ‘eco-emergency.’
Our dissatisfaction with breakdown on a global, individual and societal level pushes many of us into activism. Increased numbers of people report suffering from ‘eco-anxiety’, and a recent study showed only 29% of American millennials currently believe that the country is heading in the right direction.
But can decay be completely reversed by human effort?
In this podcast, Tom Cozens speaks with Dr Mark Hocknull, who points out that decay finds its cause in deeper laws governing the physical universe. According to the principle of entropy, breakdown and decay are inescapable aspects of the natural world. The second law of thermodynamics states that decay and disorder are inescapable, and will always increase over time, despite human effort to reverse the process.
In the face of a world inescapably programmed towards breakdown, should we fight back or give up?
