The incoherent component of the fluorescence from a single two-level atom is investigated after rejecting the coherent component. Contrary to intuition, its photon statistics experimentally shows strong photon bunching. This result suggests that the atom does in fact simultaneously scatter two photons.
Information about the internal properties of a system can only be obtained through interactions of the system with an external meter. However, such interactions generally result in entanglement between the system and the meter, making it difficult to trace the measurement result back to a specific value of the physical property in the system. It is therefore possible that the outcomes of quantum measurements depend in a nontrivial manner on the dynamics of the measurement interaction, possibly providing a physical explanation for the role of measurement contexts in quantum mechanics. Here we show that the effects of the measurement interaction on the meter can be described entirely in terms of the quantum coherent system dynamics associated with the back-action on the system.
Deep learning and predictive coding architectures commonly assume that inference in neural networks is hierarchical. However, largely neglected in deep learning and predictive coding architectures is the neurobiological evidence that all hierarchical cortical areas, higher or lower, project to and receive signals directly from subcortical areas. Given these neuroanatomical facts, today’s dominance of cortico-centric, hierarchical architectures in deep learning and predictive coding networks is highly questionable; such architectures are likely to be missing essential computational principles the brain uses. In this Perspective, we present the shallow brain hypothesis: hierarchical cortical… More.
Architectures in neural networks commonly assume that inference is hierarchical. In this Perspective, Suzuki et al. present the shallow brain hypothesis, a neural processing mechanism based on neuroanatomical and electrophysiological evidence that intertwines hierarchical cortical processing with a massively parallel process to which subcortical areas substantially contribute.
The goal of the order, according to the White House, is to improve “AI safety and security.” It also includes a requirement that developers share safety test results for new AI models with the US government if the tests show that the technology could pose a risk to national security. This is a surprising move that invokes the Defense Production Act, typically used during times of national emergency.
The executive order advances the voluntary requirements for AI policy that the White House set back in August, though it lacks specifics on how the rules will be enforced. Executive orders are also vulnerable to being overturned at any time by a future president, and they lack the legitimacy of congressional legislation on AI, which looks unlikely in the short term.
“The Congress is deeply polarized and even dysfunctional to the extent that it is very unlikely to produce any meaningful AI legislation in the near future,” says Anu Bradford, a law professor at Columbia University who specializes in digital regulation.
IBM Research recently disclosed details about its NorthPole neural accelerator. This isn’t the first time IBM has discussed the part; IBM researcher Dr. Dharmendra Modha gave a presentation last month at Hot Chips that delved into some of its technical underpinnings.
Let’s take a high-level look at what IBM announced.
IBM NorthPole is an advanced AI chip from IBM Research that integrates processing units and memory on a single chip, significantly improving energy efficiency and processing speed for artificial intelligence tasks. It is designed for low-precision operations, making it suitable for a wide range of AI applications while eliminating the need for bulky cooling systems.
Google’s new technique works by sending low-intensity ultrasonic probing signals via the speakers.
Researchers at Google have devised a technology that allows active noise-canceling (ANC) wearables to feature health-sensing applications.
The team utilized a technique called audio plethysmography (APG) in ANC wearables to monitor a user’s physiological data, such as heart rate and heart rate variability, without the need for additional sensors or sacrificing battery life.
“This is significant because it creates the opportunity for greater renewable energy storage.”
Through the use of solar collectors, concentrated solar thermal technology (CST) harnesses solar energy to produce heat or electricity. The process is simple although difficult to execute successfully: large mirrors or lenses focus sunlight onto a narrow region known as the receiver.
These mirrors are what are known as solar collectors and they come in a variety of formats each with a distinct design and focusing technique, such as dish systems, solar power towers, and parabolic troughs.
The researchers built a dynamic data acquisition platform to capture human arm motion during assembly tasks.
A team of researchers from the Beijing Institute of Technology has developed a new method to control robots that can assemble satellites in space. The technique is inspired by the human arm, which can adjust its damping to perform different tasks with precision and stability. The researchers published their findings in Cyborg and Bionic Systems.
Space operations with robots and challenges
Continue reading “Human arm dynamics can help robots assemble satellites” »
ChatGPT, the AI-powered chatbot from OpenAI, far outpaces all other AI chatbot apps on mobile devices in terms of downloads and is a market leader by revenue, as well. However, it’s surprisingly not the top AI app by revenue — several photo AI apps and even other AI chatbots are actually making more money than ChatGPT, despite the latter having become a household name for an AI chat experience.
Since its launch on mobile devices in May of this year, ChatGPT’s downloads and revenue have continued to grow. In its first month, when the app was available on iOS only, it topped 3.9 million downloads, which grew to 15.1 million by June, according to an analysis of the AI app market by Apptopia. Then, following a slight dip in July, ChatGPT grew again to top 23 million downloads as of September 2023.
In addition, ChatGPT’s usage on mobile devices has similarly grown from just over 1.34 million monthly active users in May to now 38.88 million as of September.
The pioneering AI researcher and activist shares her personal journey in a new book, and explains her concerns about today’s AI systems.
Joy Buolamwini, the renowned AI researcher and activist, appears on the Zoom screen from home in Boston, wearing her signature thick-rimmed glasses.
As an MIT grad, she seems genuinely interested in seeing old covers of MIT Technology Review that hang in our London office. An edition of the magazine from 1961 asks: “Will your son get into college?”
