sunshine
Marissa Mayer Is Dissolving Her Sunshine Startup Lab
After seven rocky years, the company's assets will be sold to Dazzle, a new AI firm that Mayer founded. Sunshine cofounder and CEO Marissa Mayer speaks at TechCrunch Disrupt in San Francisco in 2023. Sunshine, the consumer AI startup founded by former Yahoo CEO Marissa Mayer in 2018, has seen brighter days. The small startup is shutting down, and its assets are being sold to a new entity incorporated by Mayer called Dazzle, according to an email viewed by WIRED. Mayer sent the email to Sunshine shareholders on September 17, informing them that Dazzle has officially incorporated and is ready to acquire Sunshine's holdings.
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Marissa Mayer: I Am Not a Feminist. I Am Not Neurodivergent. I Am a Software Girl
Marissa Mayer didn't say AI is Death, destroyer of worlds or even AI needs ethical guardrails. Instead, she said it's the sun--life-giving, bright, shiny, endlessly giving. Thus, the former Google engineer and CEO of Yahoo, who has worked on artificial intelligence for 25 years, christened her startup Sunshine. It's devoted to AI-empowering family and social life with photo sharing, contact managing, and event planning. As I spoke with Mayer in Sunshine's candy-colored digs in Palo Alto, I was so stunned by her boosterism that I ended up mirroring it.
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation
Wang, Yujie, Huang, Chao, Yang, Liner, Fang, Zhixuan, Huang, Yaping, Liu, Yang, Yang, Erhong
This paper introduces a novel worker selection algorithm, enhancing annotation quality and reducing costs in challenging span-based sequence labeling tasks in Natural Language Processing (NLP). Unlike previous studies targeting simpler tasks, this study contends with the complexities of label interdependencies in sequence labeling tasks. The proposed algorithm utilizes a Combinatorial Multi-Armed Bandit (CMAB) approach for worker selection. The challenge of dealing with imbalanced and small-scale datasets, which hinders offline simulation of worker selection, is tackled using an innovative data augmentation method termed shifting, expanding, and shrinking (SES). The SES method is designed specifically for sequence labeling tasks. Rigorous testing on CoNLL 2003 NER and Chinese OEI datasets showcased the algorithm's efficiency, with an increase in F1 score up to 100.04% of the expert-only baseline, alongside cost savings up to 65.97%. The paper also encompasses a dataset-independent test emulating annotation evaluation through a Bernoulli distribution, which still led to an impressive 97.56% F1 score of the expert baseline and 59.88% cost savings. This research addresses and overcomes numerous obstacles in worker selection for complex NLP tasks.
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Mario makers reflect on 35 years and the evolution of the franchise's most iconic jump
The team introduced "Super Mario Bros." to the world 35 years ago, the first installment in a video game franchise that has come to define the Nintendo brand. As Mickey Mouse is to Disney, Mario is to the Japanese game makers, starring in titles that have highlighted every generation of Nintendo consoles. In honor of the anniversary, The Post interviewed, by email, four of the principle figures in Mario's proud and enduring history: Shigeru Miyamoto, creator of Mario, Zelda and Nintendo representative director; Tezuka, assistant director for the first game and producer for several others; Yoshiaki Koizumi, director of "Super Mario Sunshine" and "Super Mario Galaxy"; and Kenta Motokura, character design for "Sunshine" and director of "Super Mario 3-D World" and "Super Mario Odyssey."
Tapping the IoT Potential in the Post COVID-19 World
Massive data is generated by sensors placed by billions of connected devices around the world. IoT is everywhere, consider the rise of smart watches that allow people to track their fitness, monitor their sleeping patterns, measure their heart rate, to smart sensors that go beyond the human reach in industrial maintenance activities, IoT is everywhere. Think of a future where self-driving cars will collect, process, and store driving data at the edge to make road travel safer and more enjoyable. IoT Techology is deployed by a handful of companies to keep track of their pest populations. For instance, Semios, uses sensors and machine vision technology to check the pest populations in vineyards, orchards and other agricultural settings.
Every Mario game, ranked
The first GameCube Mario was also Mario's grand return to 3D adventuring, after Super Mario 64 blew the doors open for the genre. As a result, Super Mario Sunshine is packed with ideas. Instead of Mario's traditional powerups like flowers and stars, which gave him additional new powers, Sunshine's water jetpack did something revolutionary. It enhanced Mario's core abilities of jumping. It dared to redefine what regular Mario felt like.
More-flexible machine learning
Machine learning, which is the basis for most commercial artificial-intelligence systems, is intrinsically probabilistic. An object-recognition algorithm asked to classify a particular image, for instance, might conclude that it has a 60 percent chance of depicting a dog, but a 30 percent chance of depicting a cat. At the Annual Conference on Neural Information Processing Systems in December, MIT researchers will present a new way of doing machine learning that enables semantically related concepts to reinforce each other. So, for instance, an object-recognition algorithm would learn to weigh the co-occurrence of the classifications "dog" and "Chihuahua" more heavily than it would the co-occurrence of "dog" and "cat." In experiments, the researchers found that a machine-learning algorithm that used their training strategy did a better job of predicting the tags that human users applied to images on the Flickr website than it did when it used a conventional training strategy.
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