Educational Technology

Popular AI-powered food apps may make calorie counting easier, but they may also leave out a surprisingly large part of the meal. Four apps underestimated calories and fat by about one-third when tested against carefully prepared meals. High-fat ketogenic dishes appeared to cause the most trouble, while carbohydrates were measured more consistently.

The Backrooms began as a single eerie image of empty yellow rooms, but internet users transformed it into a vast fictional world that feels disturbingly real. Through videos, games, maps, survival guides and social media stories, audiences do more than watch the horror unfold. They help build and explore it. Researchers suggest this popularity reflects a new kind of digital tourism, where people emotionally enter imaginary places filled with mystery, nostalgia and unease.

A quantum problem once described as impossible for classical computers has now been solved using relatively modest hardware. Researchers used tensor networks to compress the overwhelming wave function created by hundreds of entangled qubits, allowing some calculations to run on a laptop. Their results matched both theoretical predictions and simulations performed with a quantum computer. The method could open new paths for exploring quantum dynamics and materials.

Researchers developed a Wordle-solving strategy that succeeds 99% of the time by focusing on information gain rather than likely answers. The method uses Shannon entropy to identify guesses that reveal the most about the hidden word. Each guess is designed to slash uncertainty and narrow the possibilities faster. The result significantly outperformed more traditional Wordle tactics.

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. Yet the approach can backfire when AI relies too heavily on familiar patterns, potentially missing evidence of something truly new.

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum materials known as quasicrystals, opening the door to powerful new quantum devices and ultra-efficient electronics. The work could help scientists design advanced topological qubits and materials for future quantum computers.

Scientists in Germany have pulled off a staggering computing feat by fully simulating a 50-qubit quantum computer for the first time ever using Europe’s new exascale supercomputer, JUPITER. The breakthrough shatters the previous 48-qubit record and highlights just how powerful next-generation supercomputers have become.

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing “mollifier layers” that smooth noisy data, they’ve made these calculations more stable and far less computationally demanding. This could transform fields like genetics, where understanding how DNA behaves is key to disease research.

Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems. By letting a quantum computer identify hidden patterns in data, the AI becomes more accurate and stable over time. The method outperformed standard models while using far less memory. This could have big implications for fields like climate science, energy, and medicine.

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.

A new light-based breakthrough could help quantum computers finally scale up. Stanford researchers created miniature optical cavities that efficiently collect light from individual atoms, allowing many qubits to be read at once. The team has already demonstrated working arrays with dozens and even hundreds of cavities. The approach could eventually support massive quantum networks with millions of qubits.

Dinosaur footprints have always been mysterious, but a new AI app is cracking their secrets. DinoTracker analyzes photos of fossil tracks and predicts which dinosaur made them, with accuracy rivaling human experts. Along the way, it uncovered footprints that look strikingly bird-like—dating back more than 200 million years. That discovery could push the origin of birds much deeper into prehistory.

AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with short-term memory, helps AI adapt to new tasks, switch goals, and handle complex challenges more easily. This approach boosts learning efficiency while using far less training data. It could pave the way for more flexible, human-like AI systems.

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also makes them surprisingly vulnerable. New research from Penn State warns that today’s quantum machines are not just futuristic tools, but potential gold mines for hackers. The study reveals that weaknesses can exist not only in software, but deep within the physical hardware itself, where valuable algorithms and sensitive data may be exposed.

Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed at Columbia Engineering learned realistic lip movements by watching its own reflection and studying human videos online. This allowed it to speak and sing with synchronized facial motion, without being explicitly programmed. Researchers believe this breakthrough could help robots finally cross the uncanny valley.

A new microchip-sized device could dramatically accelerate the future of quantum computing. It controls laser frequencies with extreme precision while using far less power than today’s bulky systems. Crucially, it’s made with standard chip manufacturing, meaning it can be mass-produced instead of custom-built. This opens the door to quantum machines far larger and more powerful than anything possible today.

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, leading to biased results for certain groups. The bias stems from how the models are trained and the data they see, not just from missing samples. Researchers also demonstrated a way to significantly reduce these disparities.

BISC is an ultra-thin neural implant that creates a high-bandwidth wireless link between the brain and computers. Its tiny single-chip design packs tens of thousands of electrodes and supports advanced AI models for decoding movement, perception, and intent. Initial clinical work shows it can be inserted through a small opening in the skull and remain stable while capturing detailed neural activity. The technology could reshape treatments for epilepsy, paralysis, and blindness.

Researchers unveiled a new technique that validates quantum computer results—especially those from GBS devices—in minutes instead of millennia. Their findings expose unexpected errors in a landmark experiment, offering a crucial step toward truly reliable quantum machines.

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that the prefrontal cortex assembles these blocks like Legos to create new behaviors. This flexibility explains why humans learn quickly while AI models often forget old skills. The insights may help build better AI and new clinical treatments for impaired cognitive adaptability.

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence.

More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discovered a measurable rise in cardiometabolic risk scores and a metabolic “fingerprint” in frequent screen users. Experts say better sleep and balanced daily routines can help offset these effects and safeguard lifelong health.

Auburn scientists have designed new materials that manipulate free electrons to unlock groundbreaking applications. These “Surface Immobilized Electrides” could power future quantum computers or transform chemical manufacturing. Stable, tunable, and scalable, they represent a leap beyond traditional electrides. The work bridges theory and potential real-world use.

A team at the University at Buffalo has made it possible to simulate complex quantum systems without needing a supercomputer. By expanding the truncated Wigner approximation, they’ve created an accessible, efficient way to model real-world quantum behavior. Their method translates dense equations into a ready-to-use format that runs on ordinary computers. It could transform how physicists explore quantum phenomena.

Diraq has shown that its silicon-based quantum chips can maintain world-class accuracy even when mass-produced in semiconductor foundries. Achieving over 99% fidelity in two-qubit operations, the breakthrough clears a major hurdle toward utility-scale quantum computing. Silicon’s compatibility with existing chipmaking processes means building powerful quantum processors could become both cost-effective and scalable.

Researchers are showing how phone sensors can track patterns tied to a wide range of mental health symptoms. Instead of relying only on self-reports, clinicians may soon be able to gather continuous, real-world data about patients. The study also found correlations with the broad "p-factor," a shared dimension across mental health issues.

Caltech scientists have built a record-breaking array of 6,100 neutral-atom qubits, a critical step toward powerful error-corrected quantum computers. The qubits maintained long-lasting superposition and exceptional accuracy, even while being moved within the array. This balance of scale and stability points toward the next milestone: linking qubits through entanglement to unlock true quantum computation.

Meditation apps are revolutionizing mental health, providing easy access to mindfulness practices and new opportunities for scientific research. With the help of wearables and AI, these tools can now deliver personalized training tailored to individual needs.

Researchers at UNSW have found a way to make atomic nuclei communicate through electrons, allowing them to achieve entanglement at scales used in today’s computer chips. This breakthrough brings scalable, silicon-based quantum computing much closer to reality.

Scientists may have uncovered the missing piece of quantum computing by reviving a particle once dismissed as useless. This particle, called the neglecton, could give fragile quantum systems the full power they need by working alongside Ising anyons. What was once considered mathematical waste may now hold the key to building universal quantum computers, turning discarded theory into a pathway toward the future of technology.

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 milliwatts of power. Instead of digital steps, it uses analog microwave physics for real-time computations like radar tracking, signal decoding, and anomaly detection. This unique neural network design bypasses traditional processing bottlenecks, achieving high accuracy without the extra circuitry or energy demands of digital systems.

AI-generated videos are becoming dangerously convincing and UC Riverside researchers have teamed up with Google to fight back. Their new system, UNITE, can detect deepfakes even when faces aren't visible, going beyond traditional methods by scanning backgrounds, motion, and subtle cues. As fake content becomes easier to generate and harder to detect, this universal tool might become essential for newsrooms and social media platforms trying to safeguard the truth.

A multinational team has cracked a long-standing barrier to reliable quantum computing by inventing an algorithm that lets ordinary computers faithfully mimic a fault-tolerant quantum circuit built on the notoriously tricky GKP bosonic code, promising a crucial test-bed for future quantum hardware.

A research team has achieved the holy grail of quantum computing: an exponential speedup that’s unconditional. By using clever error correction and IBM’s powerful 127-qubit processors, they tackled a variation of Simon’s problem, showing quantum machines are now breaking free from classical limitations, for real.

Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states" a key component for fault-tolerant quantum computers. By pioneering a low-level, or "level-zero," distillation method, they dramatically reduced the number of qubits and computational resources needed, overcoming one of the biggest obstacles: quantum noise. This innovation could accelerate the arrival of powerful quantum machines capable of revolutionizing industries from finance to biotech.

Chalmers engineers built a pulse-driven qubit amplifier that’s ten times more efficient, stays cool, and safeguards quantum states—key for bigger, better quantum machines.

AI is revolutionizing the job landscape, prompting nations worldwide to prepare their workforces for dramatic changes. A University of Georgia study evaluated 50 countries’ national AI strategies and found significant differences in how governments prioritize education and workforce training. While many jobs could disappear in the coming decades, new careers requiring advanced AI skills are emerging. Countries like Germany and Spain are leading with early education and cultural support for AI, but few emphasize developing essential human soft skills like creativity and communication—qualities AI can't replace.

Scientists at UBC have devised a chip-based device that acts as a "universal translator" for quantum computers, converting delicate microwave signals to optical ones and back with minimal loss and noise. This innovation preserves crucial quantum entanglement and works both ways, making it a potential backbone for a future quantum internet. By exploiting engineered flaws in silicon and using superconducting components, the device achieves near-perfect signal translation with extremely low power use and it all fits on a chip. If realized, this could transform secure communication, navigation, and even drug discovery.

In a bold challenge to silicon s long-held dominance in electronics, Penn State researchers have built the world s first working CMOS computer entirely from atom-thin 2D materials. Using molybdenum disulfide and tungsten diselenide, they fabricated over 2,000 transistors capable of executing logic operations on a computer free of traditional silicon. While still in early stages, this breakthrough hints at an exciting future of slimmer, faster, and dramatically more energy-efficient electronics powered by materials just one atom thick.

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum technology isn t just experimental it can already outperform classical systems in specific tasks. Notably, this photonic approach could also drastically reduce energy consumption, offering a sustainable path forward as machine learning s power needs soar.

Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, researchers from Waseda University have devised a novel self-report scale and highlighted the concepts of attachment anxiety and avoidance toward AI. Their work is expected to serve as a guideline to further explore human-AI relationships and incorporate ethical considerations in AI design.

A review of experimental research reveals how VR is best used and why it's struggled to become a megahit with consumers.

A team analyzed a range of YouTube videos that focused on learning music by ear and identified four simple ways music learning technology can better aid prospective musicians -- helping people improve recall while listening, limiting playback to small chunks, identifying musical subsequences to memorize, and replaying notes indefinitely.

A new study has found that a smartphone app that tracks household water use and alerts users to leaks or excessive consumption offers a promising tool for helping California water agencies meet state-mandated conservation goals. The study found that use of the app -- called Dropcountr -- reduced average household water use by 6%, with even greater savings among the highest water users.

A new study says students appear to be using generative artificial intelligence (GenAI) responsibly, and as a way to speed up tasks, not just boost their grades.

A team at POSTECH has unveiled a world-first in display technology: Pixel-Based Local Sound OLEDs that allow every pixel on a screen to emit distinct sounds. By embedding ultra-thin piezoelectric exciters directly into the OLED display, they've eliminated the need for external speakers and solved the long-standing problem of audio crosstalk. This means immersive, directional audio can now come straight from the screen.

We need to learn our letters before we can learn to read and our numbers before we can learn how to add and subtract. The same principles are true with AI, a team of scientists has shown through laboratory experiments and computational modeling. In their work, researchers found that when recurrent neural networks (RNNs) are first trained on simple cognitive tasks, they are better equipped to handle more difficult and complex ones later on.

A groundbreaking new study introduces an AI-powered smartphone app that noninvasively screens for anemia using a photo of a user's fingernail. The study shows the app provides hemoglobin estimates comparable to traditional lab tests, with over 1.4 million tests conducted by 200,000+ users. An estimated 83 million Americans and more than 2 billion people globally are at high risk for anemia -- populations that stand to benefit significantly from this accessible screening tool. The app offers a low-cost, scalable solution that enhances access, especially in underserved and remote communities, while enabling real-time health monitoring and earlier intervention.

In Project Chimera, a game lab combines a VR computer game with educational problems in order to convey scientific content in a motivating way.

New research shows that cyberbullying should be classified as an adverse childhood experience due to its strong link to trauma. Even subtle forms -- like exclusion from group chats -- can trigger PTSD-level distress. Nearly 90% of teens experienced some form of cyberbullying, accounting for 32% of the variation in trauma symptoms. Indirect harassment was most common, with more than half reporting hurtful comments, rumors or deliberate exclusion. What mattered most was the overall amount of cyberbullying: the more often a student was targeted, the more trauma symptoms they showed.

A new game-based experiment sheds light on the tradeoffs people are willing to make about data privacy.

A new study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.

A multidisciplinary team of researchers has developed an artificial intelligence (AI) model that can predict acute child malnutrition in Kenya up to six months in advance. The tool offers governments and humanitarian organizations critical lead time to deliver life-saving food, health care, and supplies to at-risk areas. The machine learning model outperforms traditional approaches by integrating clinical data from more than 17,000 Kenyan health facilities with satellite data on crop health and productivity. It achieves 89% accuracy when forecasting one month out and maintains 86% accuracy over six months -- a significant improvement over simpler baseline models that rely only on recent historical child malnutrition prevalence trends.

As kids spend more time on screens, a new national survey conducted by Ipsos on behalf of The Kids Mental Health Foundation, founded by Nationwide Children's Hospital, identifies parents' greatest fears for their children around screen time.

Engineers developed a ping-pong-playing robot that quickly estimates the speed and trajectory of an incoming ball and precisely hits it to a desired location on the table.

As fast fashion continues to fill wardrobes and landfills at a staggering pace, new research suggests that the future of fashion might lie not in fabric, but in pixels.

Researchers have developed a new protocol for characterizing quantum gate errors, paving the way toward more reliable quantum simulations and fault-tolerant quantum computing.

Computer scientists have developed a new AI text-to-video model that learns real-world physics knowledge from time-lapse videos.

Researchers have been putting ChatGPT essays to the test against real students. A new study reveals that the AI generated essays don't yet live up to the efforts of real students. While the AI essays were found to be impressively coherent and grammatically sound, they fell short in one crucial area -- they lacked a personal touch. It is hoped that the findings could help educators spot cheating in schools, colleges and universities worldwide by recognizing machine-generated essays.

Researchers demonstrated extremely strong nonlinear light-matter coupling in a quantum circuit. Stronger coupling enables faster quantum readout and operations, ultimately improving the accuracy of quantum operations.