In this week's Abundance Insider: Night-time energy-producing solar panels, Lynx’s new standalone MR headset, and new moves in Artificial Intelligence-driven drug discovery.
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Why it’s important: Augmented reality (AR) is about to add a digital intelligence layer to our every surrounding, transforming retail, manufacturing, education, tourism, real estate, and almost every major industry that holds up our economy today. Just last year, the global augmented reality and virtual reality market hit a value of $814.7 billion, and it is only expected to continue surging at a 63% CAGR until 2025. In one of the greatest technological revolutions of this century, smartphones dematerialized cameras, stereos, video game consoles, TVs, GPS systems, calculators, paper, and even matchmaking as we knew it. AR glasses will soon perpetuate this, ultimately dematerializing the smartphone itself. We will no longer gaze into tiny, two-dimensional screens but rather see through a fully immersive, 3D interface.
Why it’s important: Thermoradiative cells are becoming more popular as a means of producing and capturing waste energy. Last year, Stanford University developed a similar system, using the heat imbalance between the Earth and the nighttime sky to generate electricity. This technology could become a key part of our energy infrastructure, as the researchers noted in their published paper: "Deep space offers an intriguing low-temperature thermal sink that has the potential to help provide electrical power at night and day through the clever use of photonics, optics, and materials science.”
Why it’s important: Artificial Intelligence is slowly but surely permeating the medical field. While machine learning has already seen usage in delivering diagnoses and analyzing patient data, AI’s experimental application in the field of drug discovery promises a multi-billion-dollar market. Presently, it can take nearly a decade (if not more) for a novel drug to graduate from experimental candidate to commercialized patient prescription. AI-based drug discovery systems are slated to cut this time substantially. Case in point, Exscientia's systems took only about one year to design DSP-1181, whereas previously, a drug at this stage of development would have required nearly 4 and a half years. As pharmaceutical companies continue to witness this surge in speed and efficacy at the hands of machine learning, AI-driven drug discovery may rapidly become the new norm.
Why it’s important: The future of food will involve a zero-food waste, closed-loop value chain. Eliminating the intermediary between farmer and retailer makes the process of food supply and demand far more efficient. Moreover, strengthening the link between rural farmers and urban dwellers is essential to preserving ecological farming practices and perhaps even making them more innovative. Industrialized mass agriculture contributes significantly to growing crisis, primarily global warming, antibiotic resistance, and pesticide poisoning. Scaling small farms through cashless technology platforms that help them directly track data-rich demand patterns will further inject transparency into the process, democratizing production and distribution.
This email is a briefing of the week's most compelling, abundance-enabling tech developments, curated by Marissa Brassfield in preparation for Abundance 360. Read more about A360 below.
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