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MIT Neuroscientist Proposes Brain Waves are the Hidden Engine Behind Thought and Consciousness

When it comes to understanding the mystery of human consciousness, scientists have long sought the hidden mechanism that transforms mere neural firing into the rich experience of thought.

Now, a leading MIT neuroscientist believes he’s found a clue that suggests the brain’s electrical waves don’t just reflect our thoughts, but actually create them.

At the Society for Neuroscience’s annual meeting on November 15, Dr. Earl K. Miller, a professor at MIT’s Picower Institute for Learning and Memory, will unveil a provocative proposal: that cognition and consciousness emerge from the fast, flexible organization of the brain’s cortex—powered by analog computations performed by traveling brain waves.

In other words, the rhythm of the brain may be more than background noise—it may be the very pulse of thought itself.

“The brain uses these oscillatory waves to organize itself,” Dr. Miller said in a press statement. “Cognition is large-scale neural self-organization. The brain has got to organize itself to perform complex behaviors. Brain waves are the patterns of excitation and inhibition that organize the brain, and this leads to consciousness because consciousness is this organized knitting together of the cortex.”

Dr. Miller’s theory revives the concept of analog computation. Unlike digital computers, which rely on discrete binary bits, analog systems process continuous information—waves interacting to produce a vast range of possible values.

Dr. Miller argues that the brain’s natural oscillations—electrical waves generated by millions of neurons—function as analog computers, sculpting information in a fast, flexible, and energy-efficient way.

Intel’s ‘Advanced Packaging’ Attracts Attention From Apple and Qualcomm, Potentially Opening a New Frontier for the Foundry Business

Intel might have been lagging significantly behind in the chip business, but when it comes to advanced packaging, the firm has competitive options.

Ever since high-performance computing became the norm in the industry, the demand for robust compute solutions has increased at a pace that surpasses the improvements brought about by relying solely on Moore’s Law. But, to meet the industry’s demand, manufacturers like AMD and NVIDIA adopted advanced packaging technologies, which essentially brought in ‘multiple chips’ in a single package, boosting chip densities as well as platform performance. Advanced packaging solutions have become an integral part of the supply chain, and TSMC has dominated this segment for several years now, but this could change.

In new job listings by Qualcomm and Apple, it appears that both companies are seeking talent with expertise in Intel’s EMIB advanced packaging technology. The Cupertino giant is hiring a DRAM packaging engineer, requiring experience in “advanced packaging technologies such as CoWoS, EMIB, SoIC, and PoP”. Similarly, Qualcomm is recruiting a Director of Product Management for its Data Center Business Unit, which requires familiarity with Intel’s EMIB as well, indicating that interest is defintely there.

Cascaded nonlinear down-conversion in poling-free lithium niobate nanophotonic waveguides

Cascaded nonlinear optics has long enabled advances in short-wavelength generation, but equivalent approaches for long wavelengths remain underdeveloped. Here, the authors demonstrate a chip-based lithium niobate platform that delivers tunable mid-infrared light, opening new possibilities for sensing, spectroscopy, and communications.

New photonic chips passively convert laser light into multiple colors on demand

Over the past several decades, researchers have been making rapid progress in harnessing light to enable all sorts of scientific and industrial applications. From creating stupendously accurate clocks to processing the petabytes of information zipping through data centers, the demand for turnkey technologies that can reliably generate and manipulate light has become a global market worth hundreds of billions of dollars.

One challenge that has stymied scientists is the creation of a compact source of light that fits onto a chip, which makes it much easier to integrate with existing hardware. In particular, researchers have long sought to design chips that can convert one color of laser light into a rainbow of additional colors—a necessary ingredient for building certain kinds of quantum computers and making precision measurements of or time.

Now, researchers at JQI have designed and tested new chips that reliably convert one color of light into a trio of hues. Remarkably, the chips all work without any active inputs or painstaking optimization—a major improvement over previous methods. The team described their results in the journal Science on Nov. 6, 2025.

A Radical New Kind of Particle Accelerator Could Transform Science

A particle accelerator that produces intense X-rays could be squeezed into a device that fits on a table, my colleagues and I have found in a new research project.

The way that intense X-rays are currently produced is through a facility called a synchrotron light source. These are used to study materials, drug molecules, and biological tissues. Even the smallest existing synchrotrons, however, are about the size of a football stadium.

Our research, which has been accepted for publication in the journal Physical Review Letters, shows how tiny structures called carbon nanotubes and laser light could generate brilliant X-rays on a microchip. Although the device is still at the concept stage, the development has the potential to transform medicine, materials science, and other disciplines.

3D worlds created from just a few phone photos

Existing 3D scene reconstructions require a cumbersome process of precisely measuring physical spaces with LiDAR or 3D scanners, or correcting thousands of photos along with camera pose information. A research team at KAIST has overcome these limitations and introduced a technology enabling the reconstruction of 3D—from tabletop objects to outdoor scenes—with just two to three ordinary photographs.

The results, posted to the arXiv preprint server, suggest a new paradigm in which spaces captured by can be immediately transformed into virtual environments.

The research team led by Professor Sung-Eui Yoon from the School of Computing developed the new technology called SHARE (Shape-Ray Estimation), which can reconstruct high-quality 3D scenes using only ordinary images, without precise camera pose information.

Cracking the code of complexity in computer science’s P vs. NP problem

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.

“Everyone working in computer science and mathematics knows about the ‘P vs. NP’ problem,” Seth says. “It’s one of the notorious Millennium Prize Problems: so famous and so difficult that solving one will earn you a million dollars.”

To understand the crux of the “P vs. NP” problem, imagine an enormous jigsaw puzzle or a Sudoku puzzle. It would be a “P” problem if it could be solved relatively quickly by a computer, whereas they would be an “NP” problem if they were extremely difficult to solve, but a provided solution could be quickly verified.

This Magnetic Discovery Could Be the Key to Ultrafast, Low-Energy Chips

Scientists have uncovered how tiny magnetic waves can produce electric signals inside materials, potentially transforming computing efficiency.

The discovery could lead to ultrafast, low-power chips that merge magnetic and electric systems seamlessly.

Linking magnetic waves and electric signals.

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