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AI can now play Minecraft just as well as you - here's why that matters


Experts at OpenAI have trained a neural network to play Minecraft to an equally high standard as human players. The neural network was trained on 70,000 hours of miscellaneous in-game footage, supplemented with a small database of videos in which contractors performed specific in-game tasks, with the keyboard and mouse inputs also recorded. After fine-tuning, OpenAI found the model was able to perform all manner of complex skills, from swimming to hunting for animals and consuming their meat. It also grasped the "pillar jump", a move whereby the player places a block of material below themselves mid-jump in order to gain elevation. Perhaps most impressive, the AI was able to craft diamond tools (requiring a long string of actions to be executed in sequence), which OpenAI described as an "unprecedented" achievement for a computer agent.

Instacart Introduces Griffin: An Extensible And Self-Serving Machine Learning Platform


Instacart provides grocery delivery and pickup services in the US and Canada. Customers can use the service to order goods from participating stores, and a personal shopper will conduct the shopping for them. As one can imagine, the Instacart experience relies heavily on machine learning. Nearly every product and business innovation at the company is based on machine learning (ML), including helping users locate the ideal things in a catalog of more than 1 billion products and enabling 5,000 brand partners to connect their products to potential customers. In 2016, the company began creating its machine learning framework called Lore.

Keep your fingers on the PULsE: artificial intelligence to guide atrial fibrillation screening


This editorial refers to'Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England', by N.R. Hill et al., To see things in the seed, that is genius. Undiagnosed atrial fibrillation (AF) is an important cause of stroke.1 AF screening may enable prompt detection of AF and initiation of oral anticoagulation (OAC) to prevent stroke.2 The 2007 SAFE trial reported a roughly 50% increase in AF diagnosis with screening individuals aged 65 years using electrocardiography (ECG) with or without pulse palpation,3 resulting in a Class I recommendation from the European Society of Cardiology4 and the Cardiac Society of Australia and New Zealand5 for AF screening using ECG among individuals aged 65 years. However, more recent studies suggest that mass screening may not be effective.6,7

OpenAI Introduces a Neural Network That Can Play 'Minecraft'


OpenAI has developed a neural network that can play Minecraft like humans. The Artificial Intelligence (AI) model was trained over 70,000 hours of miscellaneous in-game footage, along with a small database of videos in which specific in-game tasks were performed. Keyboard and mouse inputs are also recorded. OpenAI fine-tuned the AI, and now, it is skillful as a human-it can swim, hunt for animals, and eat. The AI can also do the pillar jump, where a player places a block of material below themselves in mid-air to gain more elevation.

Sinequa adds a neural search function to boost its enterprise platform


Sinequa said its neural search function can answer natural language questions, thanks to four deep learning models it developed with Microsoft Azure and Nvidia teams. Enterprise search company Sinequa is adding a neural search option to its platform with the aim of giving improved accuracy and relevance to customers. Sinequa said the new AI function is the first commercially available system to use four deep learning language models. Combined with the platform's natural language processing and semantic search abilities, Sinequa said this will lead to improved question-answering and search relevance. The Sinequa Search Cloud platform is designed to help employees find relevant information and insights from all enterprise sources in any language in the context of their work.

Unity lays off 4 percent of its workforce to realign its resources


Unity has laid off hundreds of employees in its offices across the globe, according to Kotaku. The video game software development company known for its popular game engine has reportedly let around 300 to 400 staffers go so far. Layoffs are still ongoing, sources said, so those numbers may be higher by the time the company is done. Unity has confirmed to Engadget that it's "realigning some of [its] resources," which has led to the dismissal of approximately 4 percent of its entire workforce. That's consistent with the report that it has let around 300 people go, since its LinkedIn page lists 8,048 employees.

Wells Fargo CIO: AI and machine learning will move financial services industry forward


We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. It's simple: In financial services, customer data offers the most relevant services and advice. But, oftentimes, people use different financial institutions based on their needs – their mortgage with one; their credit card with another; their investments, savings and checking accounts with yet another. And in the financial industry more so than others, institutions are notoriously siloed. Largely because the industry is so competitive and highly regulated, there hasn't been much incentive for institutions to share data, collaborate or cooperate in an ecosystem. Customer data is deterministic (that is, relying on first-person sources), so with customers "living across multiple parties," financial institutions aren't able to form a precise picture of their needs, said Chintan Mehta, CIO and head of digital technology and innovation at Wells Fargo.

Deepfake Epidemic Is Looming--And Adobe Is Preparing For The Worst


Imagine a deepfake video of House Speaker Nancy Pelosi, in which her speech is intentionally slurred and the words she uses are changed to deliver a message that's offensive to large numbers of voters. Now imagine that the technology used to create the video is so sophisticated that it appears completely real, rendering the manipulation undetectable, unlike clumsy deepfakes of Pelosi that circulated--and were quickly debunked--in 2020 and 2021. What would be the impact of such a video on closely contested House races in a midterm election? That's the dilemma Adobe, maker of the world's most popular tools for photo and video editing, faces as it undergoes a top-to-bottom review and redesign of its product mix using artificial intelligence and deep learning techniques. That includes upgrades to the company's signature Photoshop software and Premiere Pro video-editing tool.