Five Lessons Experiential Marketers Can Learn From Taylor Swift and Travis Kelce

Category Business

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This article explores five lessons the NFL and other experiential marketers can consider to enhance their brands and reputation based on the romance between Taylor Swift and Travis Kelce. These lessons include embracing audience expansion, capitalizing on motivations for fandom and understanding the benefits of celebrity crossover.

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Iceberg A-23A's Decades Long Journey

Category Science

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Iceberg A-23A has been receiving notable attention in November 2023 as it drifts northwards across the Weddell Sea - closer to warmer iceberg-destroying waters. 37 years after its break away from the Filchner Ice Shelf, the iceberg measured 4,300 square kilometers (1,700 square miles) according to the U.S. National Ice Center, making it the largest of any iceberg currently adrift in the world's oceans.

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Unraveling a Chemical Pathway to Ribonucleotides: Could Autocatalysis Have Played a Role in the Origin of Life?

Category Science

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Chemists are trying to recreate the chain of reactions required to form RNA at the dawn of life. Autocatalytic reactions, which produce chemicals that encourage the same reaction to happen again, could have played a part. A twist in the pathway to ribonucleotides could further increase the amount of useful molecules formed.

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Google DeepMind's Levels of AGI Framework

Category Artificial Intelligence

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Google DeepMind is attempting to make the discussion of Artificial General Intelligence (AGI) more precise and tangible by proposing a framework that outlines different levels of AGI, with the latest chatbots representing AGI level 1. Their framework focuses on capabilities, thresholds of performance, generality, embodiment, ecological validity, and charting progress rather than reaching a single endpoint. With this framework, AGI level 1 chatbots are able to understand natural language and output responses in an informed way.

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A Deep Reinforcement Learning Approach to Automate Smart Power Restoration in Microgrids

Category Machine Learning

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UC Santa Cruz Assistant Professor Yu Zhang and his lab have developed an AI-based approach for the smart control of microgrids for power restoration when outages occur. The model they have developed is based on deep reinforcement learning, which rewards the algorithm for successfully responding to the changing environment when restoring power. This model outperforms traditional power restoration techniques, and is more efficient and cost-effective.

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UN COP28 Climate Talks: the Carbon Footprint of AI

Category Artificial Intelligence

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The UN COP28 Climate Talks is a major event in understanding the effects of oil and gas companies, as well as the effects of big tech companies on climate change. We now know that everytime we use generative AI models, such as search and email, it has the same impact on the environment as charging our smartphones. This research has allowed us to make creative solutions to maximize the reward of using AI while minimizing harm. To get the full story, read here.

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Mode-Locked Laser on a Chip Revolutionises Ultrafast Science

Category Science

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Mode-locked lasers are developed using thin-film lithium niobate (TFLN) that enable very efficient shaping and precise control of laser pulses with a power output of 0.5W. The research team demonstrated the ability to precisely tune repetition frequencies of the pulses over a very wide range of 200MHz, significantly advancing the field of ultrafast science.

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Genetically Modified Christmas Trees: A Dream Come True

Category Science

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The NC State Christmas Tree Genetics Program has been working on the development of a genetically engineered Christmas tree for the last four decades. These trees boast increased growth rate, higher symmetry, and longer needle retention, and they are expected to be available to consumers by 2036.

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Uncovering the Enduring Effects of Chronic Cocaine Exposure on the Dopaminergic Circuit

Category Biotechnology

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The group of Jürgen Knoblich at IMBA developed an organoid model of the dopaminergic system that replicates its structure, connectivity, and functionality. The study revealed the enduring effects of chronic cocaine exposure on the dopaminergic circuit, even after withdrawal. It also enabled an understanding of how dopaminergic neurons are lost in Parkinson's Disease, and how we can prevent or repair the dopaminergic system.

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AI and Robot Chemist Combination Expands Materials Science

Category Artificial Intelligence

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A robot chemist has just teamed up with an AI brain to predict the properties of thousands of potential materials through a system called the A-Lab. The AI, trained heavily on the Materials Project library, found two million chemical structures and 380,000 new materials. It took the robot only 17 days to synthesize 41 of these target chemicals, a process which normally would take months and years.

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Forensic Anthropology: Identifying Human Skeletal Remains

Category Technology

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Forensic anthropology is a sub-specialty of anthropology that focuses on using the analysis of human skeletal remains to identify deceased people. It is an important tool used to help law enforcement investigate cases and find justice for victims of foul play. Nearly 15,000 open cases of unidentified people exist in the United States as of December 2023, and many practicing forensic anthropologists work to alleviate this crisis.

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The Mirror Test: Mice Show Self-Recognition Ability and Evolved Cognitive Processes

Category Science

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Mice have recently achieved self-recognition ability and joined an exclusive group of animals that includes great apes, bottlenose dolphins, and European magpies. Researchers marked the foreheads of black-furred mice with white and black ink marks, and upon observing their reflections in the mirror, the mice attempted to remove the ink stain from their foreheads. Through gene expression mapping, the researchers pinpointed a specific group of neurons in the ventral hippocampus that became active when the mice seemingly "recognized" themselves in the mirror. Additionally, the researchers discovered that a portion of these neurons responded not just when the mice looked in the mirror, but also when they watched other mice of the same strain, pointing to a more sophisticated understanding of self-recognition and cognitive functions.

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Achieving High Efficiency and Interpretability in Deep Machine Learning with Tensor Networks

Category Computer Science

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Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical challenge. Shi-Ju Ran of Capital Normal University and Gang Su of the University of the Chinese Academy of Sciences have reviewed an innovative approach based on tensor networks, drawing inspiration from quantum mechanics, which offers a promising solution to the long-standing challenge of reconciling interpretability and efficiency in deep machine learning. This quantum-inspired machine learning scheme introduces fresh perspectives by integrating physical concepts such as entanglement entropy and quantum correlations into machine learning investigations, thereby significantly enhancing interpretability. To enhance efficiency, the approach must be combined with quantum computational methods and techniques.

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How Antartic Glaciers Can Switch Rapidly and Lose Significantly More Ice in a Short Period of Time

Category Science

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Scientists have found that even seemingly stable glaciers in the Antarctic can "switch very rapidly" and lose large quantities of ice due to warmer oceans. Significant changes in the Cadman Glacier, located in the Beascochea Bay area of the West Antarctic Peninsula, have been observed. The ice shelf was no longer able to hold back the glacier causing it to move rapidly and increasing the amount of ice discharged into the sea. Unusually high ocean water temperatures in early 2018/19 around the west Antarctic peninsula are believed to have triggered the rapid dynamic change on the glacier.

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Sam Bankman-Fried's Crypto Recession: The downfall of FTX and Alameda Research

Category Business

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Sam Bankman-Fried founded FTX and Alameda Research, two companies that had significant overlap with each other. Ultimately, their operations led to massive losses for investors and customers. Bankman-Fried was convicted of seven counts of fraud and money laundering, and FTX launched its own custodian service, Fulcrum. This shows the need for strict regulations and oversight in the crypto industry.

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UC Reexamines Carbon Offset Plans to Combat Climate Change

Category Technology

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The University of California recently launched a research project to buy carbon offsets but came up empty-handed, prompting the entire university system to rethink their sustainability plans. The researchers recently released a website, devoted to helping other universities and organizations consider what role, if any, offsets should play in their sustainability plan. The University of California is still pledging to reduce emissions but strives to discourage the purchase of third-party offsets.

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The Longevity Bottleneck: How the Reign of Dinosaurs Could Explain Why We Age Faster Than Other Animals

Category Science

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A recent study from the University of Birmingham suggests an evolutionary theory for faster aging in mammals than other species such as reptiles, dubbed the 'longevity bottleneck.' This theory implies that there was an intense pressure for rapid reproduction in early mammals which resulted in the loss or inactivation of genes related to longevity. The research opens up doors to further explore how understanding our evolutionary history could lead to better targeting of age-related diseases.

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The Drama Behind OpenAI's Wild Week

Category Artificial Intelligence

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OpenAI's board of directors fired the company cofounder, CEO, and fellow board member, Sam Altman last Friday. After negotiations, the company announced the various parties had reached a tentative agreement to rehire Altman as CEO Tuesday night, while Quora CEO Adam D'Angelo managed to stay on the board throughout the events. OpenAI was originally founded in 2015 as a nonprofit with the mission of building artificial general intelligence broadly beneficial to humankind.

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The Risks of OpenAI’s ChatGPT: What You Need to Know

Category Machine Learning

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Google researchers this week announced that a few commands could trick OpenAI's chatbot ChatGPT into disclosing private user data. OpenAI has taken action to protect privacy, but confidential data might still be retained for more than 30 days. Users training with language models should ensure that their confidential data is adequately protected.

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