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kaggle_2022-05-28_21-18-40.xlsx

#artificialintelligence

The graph represents a network of 4,665 Twitter users whose tweets in the requested range contained "kaggle", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 May 2022 at 04:24 UTC. The requested start date was Sunday, 29 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 13-day, 2-hour, 40-minute period from Sunday, 15 May 2022 at 16:23 UTC to Saturday, 28 May 2022 at 19:03 UTC.


AIで遊べるデモサイト「AI World2」 - Qiita

#artificialintelligence

はじめに 以前公開したAIのデモサイト「AI World」に、4つのデモを追加しました。 今回もスマホでも遊べるので、良かったら触ってみて下さい。 ↓スマホでの表示 ■デモサイト AI World ■環境 Python, AWS...


The role of artificial intelligence in today's digital advertising

#artificialintelligence

According to The Insight Partners' analysis, the worldwide artificial intelligence in the marketing sector is estimated to reach $ 107535.57


AI-based traffic management system in Delhi soon: Officials – The Economic Times

#artificialintelligence

The new system that works on machine learning and artificial intelligence will also play a vital role in facilitating a quick passage to emergency …



Visual Storytelling with Ai Collaborators

#artificialintelligence

I have been both a filmmaker and jewelry designer for over two decades. My NFT collection -Infinite Insomnia- involves collaborating with Ai entities to create never-before-seen experimental films as fine art. This is done by devoting meticulous hours working with the Ai to generate scenes and sounds, which are then woven together in a traditional fashion to tell the desired story. The post production in my workflow is identical to that of my IRL film works (editing, sound design, color timing). The front end is also very similar with the story development, writing, and planning phases.


David O. Houwen on LinkedIn: #conversational #AI #neuralnetworks

#artificialintelligence

DeepMind: Why is AI so good at language? It's something in language itself ZDNet How is it that a program such as OpenAI's GPT-3 neural network can answer multiple choice questions, or write a poem in a particular style, despite never being programmed for those specific tasks? It may be because the human language has statistical properties that lead a neural network to expect the unexpected, according to new research by DeepMind, the AI unit of Google. Natural language, when viewed from the point of view of statistics, has qualities that are "non-uniform," such as words that can stand for multiple things, known as "polysemy," like the word "bank," meaning a place where you put money or a rising mound of earth. And words that sound the same can stand for different things, known as homonyms, like "here" and "hear." Those qualities of language are the focus of a paper posted on arXiv this month, "Data Distributional Properties Drive Emergent Few-Shot Learning in Transformers," by DeepMind scientists.


Recent Technological Advances in Drug Discovery - CBIRT

#artificialintelligence

The goal of drug discovery and development is to bring new medicines to patients suffering from critical illnesses. Earlier, drug discovery was a tedious process. Bringing a drug to market still takes 10 to 15 years. As a result, there is a lot of interest in finding new approaches to developing drugs using novel technological approaches. Machine learning tools and techniques are proving their importance at every stage of drug discovery and reducing the risk, and lowering the cost and expenditure used in clinical trials. It proves crucial in QSAR analysis, de novo drug design, hit discoveries, target validation, prognostic biomarkers, digital pathology, etc. The discovery of a drug has a lengthy procedure to go through before reaching the market.


8 Gardening and Plant-Based Video Games for Spring

WIRED

A fantastic game to play for a little escape from reality after a rough day, The Sims 4 has splendid gardening mechanics in the base game. If you've ever fantasized about owning a nice house with the perfect backyard for gardening, try The Sims 4. In her roundup of the best game additions available for purchase, product writer and reviewer Louryn Strampe recommends Seasons ($40). She writes, "If you're only getting one expansion, this is the one you want." In addition to dynamic weather, the Season pack unlocks a gardener career path, which lets you role-play as a botanist or floral designer. Devoted players searching for even more plant experiences may appreciate crafting homestead fantasies with the Cottage Living Expansion Pack ($40) or designing the ideal outdoor space for making out with the Romantic Garden Stuff ($10).


AI: The pattern is not in the data, it's in the machine

ZDNet

A neural network transforms input, the circles on the left, to output, on the right. How that happens is a transformation of weights, center, which we often confuse for patterns in the data itself. It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in fact, has been a staple phrase of things such as data mining and knowledge discovery for years now, and it has been assumed that machine learning, and its deep learning variant especially, are just continuing the tradition of finding such patterns. AI programs do, indeed, result in patterns, but, just as The fault, dear Brutus, lies not in our stars but in ourselves, the fact of those patterns is not something in the data, it is what the AI program makes of the data.