Everything in the universe may be preordained, according to physics.
By Dan Falk
Continue reading “Has Quantum Physics Determined Your Future?” »
Quintessence.
Dive into the cosmic mystery of dark energy with the groundbreaking findings from DESI! Explore how the largest-ever 3D map of the universe challenges our understanding of dark energy and hints at a dynamic cosmos. Discover what this means for the fate of the universe and how it could reshape our view of the cosmos. Join us as we unravel the secrets of the dark universe in this exciting episode!
Continue reading “Largest 3D map the Universe’s Dark Energy May Be Evolving” »
Artificial neural networks (ANNs) show a remarkable pattern when trained on natural data irrespective of exact initialization, dataset, or training objective; models trained on the same data domain converge to similar learned patterns. For example, for different image models, the initial layer weights tend to converge to Gabor filters and color-contrast detectors. Many such features suggest global representation that goes beyond biological and artificial systems, and these features are observed in the visual cortex. These findings are practical and well-established in the field of machines that can interpret literature but lack theoretical explanations.
Localized versions of canonical 2D Fourier basis functions are the most observed universal features in image models, e.g. Gabor filters or wavelets. When vision models are trained on tasks like efficient coding, classification, temporal coherence, and next-step prediction goals, these Fourier features pop up in the model’s initial layers. Apart from this, Non-localized Fourier features have been observed in networks trained to solve tasks where cyclic wraparound is allowed, for example, modular arithmetic, more general group compositions, or invariance to the group of cyclic translations.
Researchers from KTH, Redwood Center for Theoretical Neuroscience, and UC Santa Barbara introduced a mathematical explanation for the rise of Fourier features in learning systems like neural networks. This rise is due to the downstream invariance of the learner that becomes insensitive to certain transformations, e.g., planar translation or rotation. The team has derived theoretical guarantees regarding Fourier features in invariant learners that can be used in different machine-learning models. This derivation is based on the concept that invariance is a fundamental bias that can be injected implicitly and sometimes explicitly into learning systems due to the symmetries in natural data.
Once a buzzword, neuromorphic engineering is gaining traction in the semiconductor industry.
Neuromorphic engineering is finally getting closer to market reality, propelled by the AI/ML-driven need for low-power, high-performance solutions.
Continue reading “Running More Efficient AI/ML Code With Neuromorphic Engines” »
Superfast magnetic memory devices are possible after scientists engineer way to use lasers to magnetize non-magnetic materials.
Prof Roberto Maiolino, an astrophysicist at the University of Cambridge, and a member of team behind the observations, said: “One problem that we have in cosmology is explaining how these black holes manage to grow so big. In the past we have always talked about gobbling matter very quickly or being born big. Another possibility is that they grow very fast by merging.”
Until now it was not clear whether the merging of galaxies – which is known to have happened – would also result in the black holes at the centres morphing into a single cosmic sinkhole. Recent models have suggested that one of them would be kicked out into space to become a “wandering black hole”
The latest observations use the Webb telescope’s ability to get to the far reaches of the cosmos and so have provided the first glimpse of galactic mergers in the distant past.
The paradigm shift of artificial superintelligence (ASI) is imminent, promising unprecedented possibilities and profound perils for society.
Ten predictions for 2035 to reshape society, from AI and AGI to breakthroughs in brain-computer interfaces, living movies, and climate tech.
The letter, which is being sent to tech companies around the world this week, marks an escalation of the music group’s attempts to stop the melodies, lyrics and images from copyrighted songs and artists being used by tech companies to produce new versions or to train systems to create their own music.
The letter says that Sony Music and its artists “recognise the significant potential and advancement of artificial intelligence” but adds that “unauthorised use… in the training, development or commercialisation of AI systems deprives [Sony] of control over and appropriate compensation”
It says: “This letter serves to put you on notice directly, and reiterate, that [Sony’s labels] expressly prohibit any use of [their] content.”
O.o!!! The universe sure interesting because it so complex like a Euclidean hall of mirrors. Much of the universe is still misunderstood because much of what is known is still being understood like the holographic universe which seems to explain most everything but still doesn’t explain what is outside the universe.
Most models for the overall shape and geometry of the Universe—including some exotic ones—are compatible with the latest cosmic observations.
