Lifeboat Foundation

Circa 2016 face_with_colon_three

A subset C of infinite-dimensional binary cube is called a perfect binary code with distance 3 if all balls of radius 1 (in the Hamming metric) with centers in C are pairwise disjoint and their union cover this binary cube. Similarly, we can define a perfect binary code in zero layer, consisting of all vectors of infinite-dimensional binary cube having finite supports. In this article we prove that the cardinality of all cosets of perfect binary codes in zero layer is the cardinality of the continuum. Moreover, the cardinality of all cosets of perfect binary codes in the whole binary cube is equal to the cardinality of the hypercontinuum.

The team’s sensor design is a form of electronic skin, or “e-skin” — a flexible, semiconducting film that conforms to the skin like electronic Scotch tape. The heart of the sensor is an ultrathin, high-quality film of gallium nitride, a material that is known for its piezoelectric properties, meaning that it can both produce an electrical signal in response to mechanical strain and mechanically vibrate in response to an electrical impulse.

The researchers found they could harness gallium nitride’s two-way piezoelectric properties and use the material simultaneously for both sensing and wireless communication.

In their new study, the team produced pure, single-crystalline samples of gallium nitride, which they paired with a conducting layer of gold to boost any incoming or outgoing electrical signal. They showed that the device was sensitive enough to vibrate in response to a person’s heartbeat, as well as the salt in their sweat, and that the material’s vibrations generated an electrical signal that could be read by a nearby receiver. In this way, the device was able to wirelessly transmit sensing information, without the need for a chip or battery.

Numbers are an integral part of programming. Hence, programming languages support various datatypes to represent different kinds of numbers and provide various methods to work with them. Each of these datatypes comes with certain limitations on the range of numbers they can represent; while some can represent a small range of numbers, others support a very large range of numbers. Depending on our use case, we can choose from one of them. But none of them have a way to represent infinity.

We often encounter and have to deal with infinity in many real-world scenarios, and so we need a way to represent them in programming languages. In this tutorial, we’ll learn how to represent and work with infinity in Python.

Society for Science.

As per Smithsonian Magazine, his new invention could one day transform the electric vehicle (EV) industry. It is a synchronous reluctance motor with improved performance over previous models.

Please see my article published today in Skytop Strategies. Thanks and have a great weekend!

Essential emerging technology: companies are woefully unprepared by chuck brooks.

Link to article:

Continue reading “Skytop Strategies” »

The test, conducted in July 2022, featured a Hypersonic Air-breathing Weapon Concept, with minor improvements informed by its earlier successful test in September 2021. Its performance in the most recent test – it dropped from an aircraft and accelerated beyond Mach 5 – met the predictions of the company’s data models.

Half a mile-deep lab is shielded with 100 tons of steel.

A gold mine located over half a mile (one km) underground in Victoria, Australia, has been converted into the Stawell Underground Physics Laboratory to study dark matter, a press release from Australia’s Nuclear Science and Technology Organization (ANSTO) said.

Scientists believe that dark matter, the invisible substance largely unknown to mankind, makes up 85 percent of our universe’s mass. To know more about it, scientists have been building dark matter detectors, and one of the “most sensitive” detectors delivered some significant results last month.

Continue reading “New underground lab to shed light on dark matter” »

Realize that today’s AI is not able to “think” in any fashion on par with human thinking. When you interact with Alexa or Siri, the conversational capacities might seem akin to human capacities, but the reality is that it is computational and lacks human cognition. The latest era of AI has made extensive use of Machine Learning (ML) and Deep Learning (DL), which leverage computational pattern matching. This has led to AI systems that have the appearance of human-like proclivities. Meanwhile, there isn’t any AI today that has a semblance of common sense and nor has any of the cognitive wonderment of robust human thinking.

ML/DL is a form of computational pattern matching.

AI Asymmetry is getting larger and worsening, particularly via the advent of fully autonomous systems, and for which society needs to be aware of and considering devising remedies such as arming more with AI to essentially fight fire with fire.

Continue reading “AI Ethics Wary About Worsening Of AI Asymmetry Amid Humans Getting The Short End Of The Stick” »

Quantum Information Science / Quantum Computing (QIS / QC) continues to make substantial progress into 2023 with commercial applications coming where difficult practical problems can be solved significantly faster using QC (quantum advantage) and QC solving seemingly impossible problems and test cases (not practical problems) that for classical computers such as supercomputers would take thousands of years or beyond classical computing capabilities (quantum supremacy). Often the two terms are interchanged. Claims of quantum advantage or quantum supremacy, at times, are able to be challenged through new algorithms on classical computers.

The potential is for hybrid systems with quantum computers and classical computers such as supercomputers (and perhaps analog computing in the future) could operate in the thousands and potentially millions of times faster in lending more understanding into intractable challenges and problems. Imagine the possibilities and the implications for the benefit of Earth’s ecosystems and humankind significantly impacting in dozens of areas of computational science such as big data analytics, weather forecasting, aerospace and novel transportation engineering, novel new energy paradigms such as renewable energy, healthcare and drug discovery, omics (genomics, transcriptomics, proteomics, metabolomic), economics, AI, large-scale simulations, financial services, new materials, optimization challenges, … endless.

The stakes are so high in competitive and strategic advantage that top corporations and governments are investing in and working with QIS / QC. (See my Forbes article: Government Deep Tech 2022 Top Funding Focus Explainable AI, Photonics, Quantum—they (BDC Deep Tech Fund) invested in QC company Xanadu). For the US, in 2018, there is the USD $1.2 billion National Quantum Initiative Act and related U.S. Department of Energy providing USD $625 million over five years for five quantum information research hubs led by national laboratories: Argonne, Brookhaven, Fermi, Lawrence Berkeley and Oak Ridge. In August 2022, the US CHIPS and Science Act providing hundreds of millions in funding as well. Coverage includes: accelerating the discovery of quantum applications; growing a diverse and domestic quantum workforce; development of critical infrastructure and standardization of cutting-edge R&D.