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Remote Spring openings in California on August 19, 2022 – Web Development Tech Jobs

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第一階段-百花齊放下的 Self-Supervised Learning

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InstDisc 首次提出個體判別的代理任務(pretext task),如果說 MOCO 是站在巨人的肩膀上 的話,InstDisc 就是那巨人的肩膀,InstDisc 就是 MOCO 中反覆提到的文獻[61]。除了 MOCO 以外,還有很多其他的論文和實驗的細節都是直接根據 InstDisc 而來的。 圖 1 展示了 InstDisc…


The Fate of Video Game Preservation Is in Your Hands

WIRED

Dice have functioned the same way for thousands of years: Roll a die and receive a random result. From determining how far you can move in Monopoly to whether you pass a speech check in Disco Elysium, the generation of random numbers to decide a discrete outcome remains central. "Games today are just the latest incarnation of a long tradition chipping away at different genres, forms, and approaches to the development of interactive media," says Doug Brown, director of the Games Academy at Falmouth University. "A tradition whose analogue gaming roots extend back further than most literature." Whether we should preserve Neolithic dice is not up for debate, so why is the importance of video game preservation so difficult to quantify in the mainstream, despite the precedent of similar efforts in other media?


AI in Recruitment: Removing Biases and Increasing Efficiency

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The CV or cover letter needs to be reviewed, and from there, they may have two or three rounds of interviews. If offered a job, conversations around salary and onboarding and training begin. Then it's the employers' job to foster and retain loyalty. All these steps aren't quick, easy, or cheap to go through and a business may need to go through at least 20 candidates before finding the right person. This is where Artificial Intelligence (AI) comes in – a solution that can reduce the hours and energy spent in the initial recruitment process.


Google's DeepMind AI can 'transframe' a single image into a video

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Earlier this week, the team behind Google's advanced DeepMind neural network unveiled a new ability dubbed Transframer, which allows AI to generate 30-second videos from a single image input. It's a nifty little trick at first glance, but the implications are much larger than an interesting .GIF file. Transframer is a general-purpose generative framework that can handle many image and video tasks in a probabilistic setting. New work shows it excels in video prediction and view synthesis, and can generate 30s videos from a single image: https://t.co/wX3nrrYEEa "Transframer is state-of-the-art on a variety of video generation benchmarks, and… can generate coherent 30 second videos from a single image without any explicit geometric information," the DeepMind research team explains.


Digital Fintech: How AI Chatbots Play A Role In FinTech Industry

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Recent years have witnessed tremendous developments in the financial sector. Financial technology or FinTech, has been playing a critical role in providing next-level customer service to users via the usage of AI-powered Chatbots. Intended to assist customers with their requests in the most dynamic way possible, Chatbots today, also act as a guiding channel that can help businesses better understand the needs of their customers. According to a Juniper Study, the usage of chatbots will end up saving banks up to $7.3 billion worldwide by 2023, which represents a time saving of 862 million hours, or almost half a million years of work. To understand the Role of an AI Chatbot in the FinTech sector better, let's take a look at a few important use cases: As Artificial Intelligence, continues to create capabilities for the FinTech industry, it is obvious that customer expectations will follow suit.


Multi-Task Learning and HydraNets with PyTorch - PyImageSearch

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Today, we will learn about Multi-Task Learning and HydraNets. This is a Deep Learning technique I first introduced back in mid-2020 in an email I sent to exactly 653 people. The responses to this email were so high (engineers from everywhere around the planet told me they loved it and wanted to apply it to their company) I had to create an entire HydraNet section in my course catalog. You can learn more by visiting https://www.thinkautonomous.ai/ Not only is this technique new and exciting for the Deep Learning field, but it's also accessible to many Computer Vision Engineers.