Constrained by physics and politics, chipmakers are building upwards
Get the latest international news and world events from around the world.
Discovery helps explain why solid-state batteries often fail
Exactly how those dendrites form is still up for debate. While the interface between the battery’s electrolyte and electrodes has been the focus of most research, another culprit is the boundary where two grains of electrolyte in a solid material meet. Researchers know these boundaries can seed dendrites within electrolytes, although the effects have been difficult to study.
Now researchers at MIT and the Technical University of Munich have uncovered why such boundaries can lead to dendrites: Hidden electrical imbalances across the boundaries affect how the electrolyte conducts electrical charges, which influences how the ions and electrons move through the material during battery operation. In a paper published today in Nature Nanotechnology, the researchers characterized the electrical and chemical behavior of the boundaries and showed that adjusting how the electrolyte is processed enhances the movement of ions while reducing electron leakage. This adjustment can increase critical current density by more than 300 percent, which could enable solid-state batteries that charge faster and last longer.
Set theory | Two maths problem
Here I discuss definition of set, subset, proper subset, de Morgan’s law, Associative law, Cartesian product with theory and solve two maths problem.
set theory with problem.
problems with set theory.
set theory problems and solutions.
set theory sample problems.
what is the problem with set theory.
set theory problems and solutions pdf.
group theory problems and solutions pdf.
set theory venn diagram problems and solutions pdf.
basic set theory problems and solutions pdf.
elementary set theory problems and solutions pdf.
set theory venn diagram problems and solutions.
basic set theory problems and solutions.
set theory problems.
set theory combinations.
solving set theory problems.
set theory probability problems.
set theory practice problems.
what is set theory with examples.
set theory programming.
set theory problem definition.
problem set definition.
set theory practice problems pdf.
set theory example problems.
set theory equality problems.
set theory e.
difficult set theory problems.
set theory jech pdf.
set theory jech.
set theory logic problems.
set theory math problems.
how to do set theory.
set theory problems on venn diagram.
set theory olympiad problems.
set theory open problems.
set theory problems pdf.
set theory solved problems pdf.
what is r in set theory.
set theory probability.
#set_theory #gateexam #csirnet #unacademy #real_analysis.
set theory and the continuum problem.
set theory with venn diagrams.
set theory word problem.
set theory word problems pdf.
problem sets examples.
set theory problem.
#set_theory_1_introduction_representation_and_types_of_sets.
#what_are_sets?_set_theory_dont_memorise.
#set_theory_all_in_one_video.
#jee_wallah #defence_wallah #bijus #khanacademy
Beyond Agentic AI: The Emergence Of Cognitive AI Ecosystems
In the next decade, AI will likely undergo more significant changes than only becoming more independent; it will also grow more cognitive. AI systems will act as interconnected ecosystems that are capable of contextual awareness, cooperative reasoning, ongoing learning, and adaptive decision-making in almost every facet of society, rather than isolated applications.
Large language models of today are remarkable due to their ability to produce and anticipate information. Persistent memory, multimodal perception, long-term planning, causal reasoning, and self-directed learning within strictly regulated bounds will probably be characteristics of the AI of 2036. Similar to biological neural networks, millions of specialized AI agents will work together to create dynamic intelligence fabrics that continuously optimize national defense, manufacturing, transportation, financial markets, healthcare delivery, and energy grids.
The line between workforce and software will become increasingly hazy. Hundreds of thousands of AI agents working continuously alongside human employees may be employed by organizations as digital workforces. A customized constellation of AI advisers, researchers, legal assistants, financial analysts, engineers, and cybersecurity specialists working around the clock could be present for every knowledge worker. This shift signifies the emergence of an entirely new digital labor force in addition to automation.
Scientists Used Post-Mortem Brain Tissue to Control a Robot
Further reading.
Thumbnail image credit: Paper cited in video.
Unsupervised sensory-motor associative learning by human brain explant in-a-dish enables movement imitation by robot.
https://www.researchsquare.com/articl…
The lab.
Not alive. but not dea: disembodied human brains used for drug testing.
https://www.science.org/content/artic…
#science #brain #technology #news #explained
Imagination is not escapism, it brings us closer to reality
Einstein called imagination “more important than knowledge,” yet we increasingly treat it as a childhood pastime we outgrow. Philosopher of mind Amy Kind argues that it’s something far more practical: the skill we draw on to make our hardest decisions, read the people around us, and work out who we want to become. Like any skill, it weakens without use — and we’re using it less. Reading for pleasure has nearly halved in two decades, fewer parents play with their children each day, and we increasingly hand our creative work to machines. If we don’t make time to exercise it, we’ll lose the capacity to conceive of things being other than they are, and risk being trapped in the present, unable to imagine a different future, let alone build one.
In recent years, amidst the hustle and bustle of contemporary life, people are devoting considerably less time to imaginative activities. Significantly fewer people are reading for pleasure today compared to 20 years ago, and in just the last decade, significantly fewer parents are making time to play with their children on a daily basis than used to be the case.
This neglect of imagination has been accelerated by the increasing reliance on generative AI tools in both personal contexts and professional contexts. In one recent survey, more than 50% of adults reported interacting with AI tool at least several times a week for personal purposes, often for learning, entertainment, or supporting their children’s education. In another study on business uses of AI, more than half of firms surveyed reported using AI in the creation of new products and services and, more generally, in their at innovation projects. With each passing day, we seem to be increasingly more willing—and perhaps even eager—to outsource our creative and imaginative efforts to machines.
