Group items tagged

"With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay

The IBM Quantum team envisions a future where quantum computers interact frictionlessly with high performance computing resources, taking over for the specific problems where quantum can offer a computational advantage. Pushing the envelope of classical computing is crucial to this goal, especially as we develop new quantum algorithms and try to understand which problems are worth tackling with a quantum computer.

"The first order declares that its goal is "to ensure that Americans are subject to only those binding rules imposed through duly enacted statutes or through regulations lawfully promulgated under them, and that Americans have fair notice of their obligations."  The second complements the first, promising that Americans will not "be subjected to a civil administrative enforcement action or adjudication absent prior public notice of both the enforcing agency's jurisdiction over particular conduct and the legal standards applicable to that conduct.""

Optimization is a key tool in machine learning, where the goal is to achieve the best possible objective function value in a minimum amount of time. Obtaining any form of global guarantees can usually be done with convex objective functions, or with special cases such as risk minimization with one-hidden over-parameterized layer neural networks (see the June post). In this post, I will consider low-dimensional problems (imagine 10 or 20), with no constraint on running time (thus get ready for some running-times that are exponential in dimension!).

But when cognitive science turned its back on behaviourism more than 50 years ago and began dealing with signals and internal maps, goals and expectations, beliefs and desires, biologists were torn. All right, they conceded, people and some animals have minds; their brains are physical minds - not mysterious dualistic minds - processing information and guiding purposeful behaviour; animals without brains, such as sea squirts, don't have minds, nor do plants or fungi or microbes. They resisted introducing intentional idioms into their theoretical work, except as useful metaphors when teaching or explaining to lay audiences. Genes weren't really selfish, antibodies weren't really seeking, cells weren't really figuring out where they were. These little biological mechanisms weren't really agents with agendas, even though thinking of them as if they were often led to insights.

]. "The narrow strip of soil around the plant's root teems with millions of microorganisms, making it one of the most complex ecosystems on earth. To determine whether the composition of this "root microbiome" triggers changes within the plant, postdoctoral fellow Dr. Elisa Korenblum and other members of a team headed by Prof. Asaph Aharoni of Weizmann's Plant and Environmental Sciences Department, created a hydroponic set-up in which they split the roots of tomato seedlings in two. In a series of experiments, the researchers placed one side of the split roots in vials, progressively diluting the soil suspensions several times. Each dilution altered the soil's microbial composition and reduced the diversity within the microbial community, so that the different suspensions ended up containing root microbiomes with high, medium and low diversity levels. The other side of the roots was submerged in a vial with a clean, soil-free solution. If the soil microbes communicate with the plant, one would expect to detect signs of their messages on both sides of the root system. That was exactly what the scientists found…. 'Our ultimate goal is to decipher the chemical language - one could call it 'Plantish' - used by plants and the soil to interact with one another,' Korenblum

a paper recently published in Nature Sustainability, Grassini and Cassman propose a four-pronged prioritization framework for funders to use as they distribute research dollars to agricultural scientists pursuing the goal of sustainable intensification. That term refers to increasing yields of major food crops on existing farmland to avoid converting rainforests and wetlands for crop production, and doing so without negative effects on biodiversity, water and soil.

Goal: The purpose of this article is to introduce a new strategy to identify areas with high human density and mobility, which are at risk for spreading COVID-19. Crowded regions with actively moving people (called at-risk regions) are susceptible to spreading the disease, especially if they contain asymptomatic infected people together with healthy people. Methods: Our scheme identifies at-risk regions using existing cellular network functionalities-handover and cell (re)selection-used to maintain seamless coverage for mobile end-user equipment (UE). The frequency of handover and cell (re)selection events is highly reflective of the density of mobile people in the area because virtually everyone carries UEs. Results: These measurements, which are accumulated over very many UEs, allow us to identify the at-risk regions without compromising the privacy and anonymity of individuals. Conclusions: The inferred at-risk regions can then be subjected to further monitoring and risk mitigation.