AI is still far from achieving human-level intelligence — but some researchers are suggesting that the technology may understand the world.
Light can behave in strange ways when it interacts with materials. For example, in a photonic material that consists of periodic arrangements of nanoscale optical cavities, light can slow to a crawl or even stop altogether. Theorists have explained this phenomenon for some of these photonic “metacrystals” using the simplifying assumption that the light in each cavity interacts only with the light in its nearest neighbor cavities. But recent observations of photonic metacrystals with larger unit cells suggest that longer-range interactions should also be considered. Now Thanh Xuan Hoang at the Agency for Science, Technology and Research in Singapore and collaborators have theoretically confirmed the importance of long-range interactions for slowing or stopping light in a one-dimensional photonic metacrystal [1]. The team says that the finding could be used to help researchers design nanoparticle arrays for analog image processing and optical computing.
For their study, Hoang and his collaborators modeled the light–matter interactions within a row of identical dielectric nanoparticles whose diameters were similar to the wavelength of the light. Such a system is relatively tractable with precise solutions, making it a useful tool for investigating the long-range effects hinted at by recent experiments.
When the researchers extended their one-dimensional system to hundreds of nanoparticles, they found that they could collectively excite the particles by oscillating a nearby electric dipole. The resulting system displayed a resonant state that slowed a specific wavelength of light. This outcome occurred only when long-range interactions between particles were permitted. Hoang likens the dipolar emitter to the conductor of an orchestra and the particles to musicians. The nanoparticles harmonize under the conductor’s direction to create a cohesive piece, he says.
A team of engineers at the University of Massachusetts Amherst has recently shown that nearly any material can be turned into a device that continuously harvests electricity from humidity in the air.
Researchers describe the “generic Air-gen effect”—nearly any material can be engineered with nanopores to harvest, cost effective, scalable, interruption-free electricity.
In a recent study published in JAMA Neurology a group of researchers determined the utility of a novel and commercially available immunoassay for plasma phosphorylated tau 217 (p-tau217) to detect Alzheimer’s Disease (AD) pathology and evaluate reference ranges for abnormal amyloid β (Aβ) and longitudinal change across three selected cohorts.
Blood biomarkers have become key in AD diagnosis, offering a more scalable option than cerebrospinal fluid (CSF) or positron emission tomography (PET) scans. They are particularly beneficial in settings with limited access to advanced testing, paving the way for early and precise diagnosis and better patient management. p-tau, especially p-tau at threonine 217 (p-tau217), stands out as a leading blood biomarker. It excels in differentiating AD from other conditions and detecting AD in mild cognitive impairment cases, often outperforming other tau biomarkers.
As the medical community moves towards anti-Aβ therapies for dementia, validated blood biomarkers like p-tau217 are crucial for guiding treatment. Further research is necessary to validate plasma p-tau217 across diverse memory clinic populations, addressing comorbidities to enhance its clinical utility for AD.
VexTrio, the shadowy entity controlling a massive network of 70,000+ domains, is finally in the spotlight. This “traffic broker” fuels countless scams & malware campaigns, including ClearFake, SocGholish, & more. Read:
The threat actors behind ClearFake, SocGholish, and dozens of other actors have established partnerships with another entity known as VexTrio as part of a massive “criminal affiliate program,” new findings from Infoblox reveal.
The latest development demonstrates the “breadth of their activities and depth of their connections within the cybercrime industry,” the company said, describing VexTrio as the “single largest malicious traffic broker described in security literature.”
Continue reading “VexTrio: The Uber of Cybercrime — Brokering Malware for 60+ Affiliates” »
The universe is governed by four known fundamental forces: gravity, electromagnetism, the weak force, and the strong force. The strong force is responsible for dynamics on an extremely small scale, within and between the individual nucleons of atomic nuclei and between the constituents – quarks and gluons – that make up those nucleons. The strong force is described by a theory called Quantum Chromodynamics (QCD). One of the key details of this theory, known as “asymptotic freedom”, is responsible for both the subatomic scale of the strong force and the significant theoretical difficulties that the strong force has presented to physicists over the past 50 years.
Given the complexity of the strong force, experimental physicists have often led the research frontier and made discoveries that theorists are still trying to describe. This pattern is distinct from many other areas of physics, where experimentalists mostly search for and confirm, or exclude, theoretical predictions. One of the QCD areas where experimentalists have led progress is in the description of the collective behavior of systems with many bodies interacting via the strong force. An example of such a system is the quark-gluon plasma (QGP). A few microseconds after the Big Bang, the universe is supposed to have existed in such a state. The way the universe evolved in these brief moments and the structure that subsequently developed over billions of years is studied, in part, through experimental research on collective QCD effects. This briefing describes a recent exciting development in that research. To better understand the results, we begin with a series of analogies.
Imagine you are on a large university campus. You observe student movements in the middle of a busy exam period and find that the number of students entering the library in the morning is related to the number of students leaving in the evening. Perhaps this indicates some conserved quantity, like the number of students at the school. Each student in the library wants enough room to lay out their supplies and textbooks and get comfortable while studying. The library is nearly full and the students are evenly distributed across all the floors and halls of the library to ensure they have ample space. Recognizing and quantifying correlations like these can be useful for studying collective systems. By counting students “here” you can predict how many students are “there”, or by counting students “now” you can predict how many students you will get “later”. In this example, you may have insight into basic temporal and spatial correlations.
Apple’s Vision Pro launch resembles its Apple Watch debut in more ways than one, but to me the most telling similarity is in the marketing approach. Apple has striven to distance the Vision Pro from the existing crop of virtual reality (and even mixed reality) devices — many of which are objective failures — by exclusively focusing on the term “spatial computing”; however, the marketing seems focused on identifying a few key use cases it thinks will best drive consumer interest.
The company took the same approach with the Apple Watch, which like its face computer cousin, was more or less a solution in search of a problem when it originally debuted. Apple initially focused on a lot of features the Apple Watch has now actually done away with entirely, including its Digital Touch stuff that was meant to be a new paradigm for quickly communicating with friends and loved ones across distances. In general, it was presented as a relatively robust and full-featured platform nearly on par with the iPhone in terms of future potential.
The intervening years and generations of Apple Watch have seen it grow considerably in terms of pure technical capability and specifications, yet the marketing and focus around the product from Apple’s side has been more economical, spending outsized effort at the areas that seemed to resonate best with users — including health and wellness, and more recently, safety.
Aniai, a startup that has built a burger-grilling robot, Alpha Grill, said today it has raised $12 million, bringing its total raise to $15 million. The money will go toward launching its first manufacturing facility, Factory One, in South Korea. The firm will also be deploying a cloud-based AI software platform for the robot called Alpha Cloud.
Robot adoption in the restaurant business is becoming popular as it can help restaurants address their high pain points like labor shortages, and rising wage issues. Robotics enables restaurants to save 30% to 70% of labor costs, and restaurants could replace more than 80% of restaurant positions with robots, according to a research report.
“Burger chains hire six to eight kitchen staff per shift to grill burgers,” Aniai CEO Gunpil Hwang said. “Alpha Grill enables restaurants to engage only one staff member to grill burgers.”
The world needs to dig up far more minerals to meet climate goals. But mining poses environmental dangers that are bitterly dividing communities.
In addition to restoring public trust, robotaxi companies need to prove that their business models can compete with Uber and taxis.
