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Feb 23, 2024

AI in the Developing World: How ‘Tiny Machine Learning’ can have a Big Impact

Posted by in categories: mobile phones, robotics/AI

The landscape of artificial intelligence (AI) applications has traditionally been dominated by the use of resource-intensive servers centralized in industrialized nations. However, recent years have witnessed the emergence of small, energy-efficient devices for AI applications, a concept known as tiny machine learning (TinyML).

We’re most familiar with consumer-facing applications such as Siri, Alexa, and Google Assistant, but the limited cost and small size of such devices allow them to be deployed in the field. For example, the technology has been used to detect mosquito wingbeats and so help prevent the spread of malaria. It’s also been part of the development of low-power animal collars to support conservation efforts.

Small size, big impact Distinguished by their small size and low cost, TinyML devices operate within constraints reminiscent of the dawn of the personal-computer era—memory is measured in kilobytes and hardware can be had for as little as US$1. This is possible because TinyML doesn’t require a laptop computer or even a mobile phone. Instead, it can instead run on simple microcontrollers that power standard electronic components worldwide. In fact, given that there are already 250 billion microcontrollers deployed globally, devices that support TinyML are already available at scale.

Feb 23, 2024

Google reveals next-generation AI model

Posted by in categories: innovation, robotics/AI

Gemini 1.5 Pro includes a breakthrough in long-context understanding, handling up to 1 million tokens. It can also decipher the content of videos and describe what is happening in a scene.

In the world of large language models (LLMs) like ChatGPT, so-called “tokens” are the fundamental units of text that these models process, akin to words, punctuation, or parts of words in human language.

Feb 23, 2024

Physical effects of learning

Posted by in category: robotics/AI

Interacting many-body physical systems ranging from neural networks in the brain to folding proteins to self-modifying electrical circuits can learn to perform diverse tasks. This learning, both in nature and in engineered systems, can occur through evolutionary selection or through dynamical rules that drive active learning from experience. Here, we show that learning in linear physical networks with weak input signals leaves architectural imprints on the Hessian of a physical system. Compared to a generic organization of the system components, (a) the effective physical dimension of the response to inputs decreases, (b) the response of physical degrees of freedom to random perturbations (or system “susceptibility’‘) increases, and © the low-eigenvalue eigenvectors of the Hessian align with the task.

Feb 23, 2024

Neuralink’s first human patient able to use mouse through thinking says Elon Musk | WION Originals

Posted by in categories: biotech/medical, computing, Elon Musk, neuroscience

Neuralink’s first human patient able to use mouse…:


Elon Musk is the visionary behind Neuralink. He announced that the first human recipient of the company’s brain chip implant has fully recovered. The individual has demonstrated the ability to use a computer mouse solely through thoughts. Watch this video for all details.

Continue reading “Neuralink’s first human patient able to use mouse through thinking says Elon Musk | WION Originals” »

Feb 23, 2024

How to watch the first US moon landing in 50 years

Posted by in categories: robotics/AI, space travel

Recorded earlier

A robotic spacecraft is expected to touch down on the moon’s surface Thursday night, in what will mark the United States’s first uncrewed commercial moon landing.

Feb 23, 2024

Moon landing live updates: Odysseus completes first U.S. lunar landing since 1972

Posted by in category: space

This is additional taxonomy that helps us with analytics.

Feb 23, 2024

Artilux Shatters Physics Boundaries with Room-Temperature SWIR Sensor Breakthrough

Posted by in categories: innovation, physics

Toward widespread SPAD sensors for night vision and other uses.


Discover how Artilux’s new GeSi SPAD, operating at room temperature, revolutionizes CMOS-based SWIR sensing and imaging technology. Explore the applications, implications, and the new standard set in photonics.

Feb 23, 2024

Paper page — Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Posted by in category: futurism

Join the discussion on this paper page.

Feb 23, 2024

Surface Acoustic Wave Cavity Optomechanics with Atomically Thin $h$-BN and mathrmWSe_2$ Single-Photon Emitters

Posted by in categories: materials, quantum physics

In pursuing quantum networking technologies, single-photon emitters in acoustic cavities are a promising pathway that enables the conversion and transfer of quantum information across multiple platforms. The recent discovery of single-photon emitters within two-dimensional (2D) materials, such as WSe and hexagonal boron nitride (h-BN), opens new avenues in exploring such quantum optomechanical phenomena in lower dimensional systems. In this work, we demonstrate the integration of 2D-based single-photon emitters with surface acoustic wave optomechanical cavities and illustrate their potential for radio-frequency electronic control of quantum light emission.

Using simple exfoliation techniques, WSe and h-BN layers are transferred onto surface acoustic wave cavities patterned on lithium niobate—a highly piezoelectric host material. Using electro-optical measurements, we confirm high-quality resonators and cavity-phonon modes that couple to the 2D quantum emitters. Remarkably, the interaction between the 2D emitters and acoustic waves is exceptionally strong owing to the ultrathin nature of the 2D materials and their proximity to the surface waves, verified through quantum spectroscopy measurements. In addition to the radio-frequency acoustic modulation of the emitters in these materials, new physics emerges from the emitter-phonon coupling that leads to new mechanisms for high-speed manipulation of quantum emitters, opening avenues for the generation of entangled-photon pairs.

These advancements set the stage for the exploration of cavity optomechanics with 2D materials. In future experiments, higher frequency resonators will enable studies of the interplay and dynamics between single photons and phonons deep in the quantum regime, a key technology for quantum networking.

Feb 23, 2024

New insight into gene uncovers its link to incurable birth defect

Posted by in categories: genetics, neuroscience

Researchers have unraveled how mutations in a gene can lead to an incurable neurodevelopmental disorder that causes abnormal brain development in newborns and infants.

The WEHI study is the first to prove that a protein called Trabid helps control , and that mutations to this protein can lead to —a condition where a baby’s brain is smaller than expected.

It’s hoped the milestone findings will provide a deeper understanding into the protein’s impact on and lead to treatments that can slow or stop the development of microcephaly and potentially other neurological disorders.

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