Picture a futuristic swarm of robots deployed on a time-sensitive task, like cleaning up an oil spill or assembling a machine. At first, adding robots is advantageous, since many hands make light work. But a tipping point comes when too many crowd the space, getting in each other’s way and slowing the whole task down.Picture a futuristic swarm of robots deployed on a time-sensitive task, like cleaning up an oil spill or assembling a machine. At first, adding robots is advantageous, since many hands make light work. But a tipping point comes when too many crowd the space, getting in each other’s way and slowing the whole task down.[#item_full_content]
Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or older adults aren’t likely to trust them. That’s one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or older adults aren’t likely to trust them. That’s one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).Consumer & Gadgets[#item_full_content]
To be safely and reliably deployed in outer space, underwater and in other extreme environments, robots need to be able to withstand harsh conditions without breaking. In addition, they should be able to promptly and rapidly adapt to dynamic changes in their surroundings.To be safely and reliably deployed in outer space, underwater and in other extreme environments, robots need to be able to withstand harsh conditions without breaking. In addition, they should be able to promptly and rapidly adapt to dynamic changes in their surroundings.[#item_full_content]
A Pentagon AI program called Project Maven is at the center of the US strikes against Iran and potentially one of the most consequential transformations of modern warfare.A Pentagon AI program called Project Maven is at the center of the US strikes against Iran and potentially one of the most consequential transformations of modern warfare.Machine learning & AI[#item_full_content]
AI companions can comfort lonely users but may deepen distress over time
AI companions are always available, never judge, never tire and never demand anything in return. If someone is struggling with loneliness, this frictionlessness can seem profoundly appealing. However, new research shows that in the long term, seeking emotional support from an AI companion can pull users away from important human relationships.AI companions are always available, never judge, never tire and never demand anything in return. If someone is struggling with loneliness, this frictionlessness can seem profoundly appealing. However, new research shows that in the long term, seeking emotional support from an AI companion can pull users away from important human relationships.Consumer & Gadgets[#item_full_content]
Helping resolve quantum computers’ memory problemon April 4, 2026 at 10:00 am
A major problem with quantum computers is memory, as the information they contain can be quickly lost. Quantum computers are not yet fully reliable—they are far too unstable. However, all around the world, people are trying to improve them—some of whom are based in Norway.A major problem with quantum computers is memory, as the information they contain can be quickly lost. Quantum computers are not yet fully reliable—they are far too unstable. However, all around the world, people are trying to improve them—some of whom are based in Norway.[#item_full_content]
One of the most influential scientific and philosophical viewpoints is “More is Different,” introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. The emergent properties cannot be derived from the fundamental laws that govern their elementary particles. The generalization of this approach suggests a hierarchical structure of science, where explainable properties of small-scale systems cannot necessarily predict the emerging phenomena on larger scales of similar systems. Its interdisciplinary perspective covers chemistry, molecular biology, cell biology, and social sciences besides physics.One of the most influential scientific and philosophical viewpoints is “More is Different,” introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. The emergent properties cannot be derived from the fundamental laws that govern their elementary particles. The generalization of this approach suggests a hierarchical structure of science, where explainable properties of small-scale systems cannot necessarily predict the emerging phenomena on larger scales of similar systems. Its interdisciplinary perspective covers chemistry, molecular biology, cell biology, and social sciences besides physics.Computer Sciences[#item_full_content]
One of the most influential scientific and philosophical viewpoints is “More is Different,” introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. The emergent properties cannot be derived from the fundamental laws that govern their elementary particles. The generalization of this approach suggests a hierarchical structure of science, where explainable properties of small-scale systems cannot necessarily predict the emerging phenomena on larger scales of similar systems. Its interdisciplinary perspective covers chemistry, molecular biology, cell biology, and social sciences besides physics.One of the most influential scientific and philosophical viewpoints is “More is Different,” introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. The emergent properties cannot be derived from the fundamental laws that govern their elementary particles. The generalization of this approach suggests a hierarchical structure of science, where explainable properties of small-scale systems cannot necessarily predict the emerging phenomena on larger scales of similar systems. Its interdisciplinary perspective covers chemistry, molecular biology, cell biology, and social sciences besides physics.[#item_full_content]
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems can generate complex time-series signals, marking a significant step forward in both neuroscience and bio-inspired computing.A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems can generate complex time-series signals, marking a significant step forward in both neuroscience and bio-inspired computing.Hi Tech & Innovation[#item_full_content]
In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn faster and more stably than conventional approaches.In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn faster and more stably than conventional approaches.Hardware[#item_full_content]
