Companies betting on data must value people as much as AI

AI scalability

The Pareto principle, also known as the 80-20 rule, asserts that 80% of consequences come from 20% of causes, rendering the remainder way less impactful. Those working with data may have heard a different rendition of the 80-20 rule: A data scientist spends 80% of their time at work cleaning up messy data as opposed to doing actual analysis or generating insights. Imagine a 30-minute drive expanded to two-and-a-half hours by traffic jams, and you’ll get the picture.

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[Paper Summary] Facebook AI releases ‘VoxPopuli’, a large-scale open multilingual Speech Corpus for AI translations in NLP Systems

With the wide-scale use of speech recognition and translation technologies, these AI systems can be implemented in many different languages. But at this point, they are only available for a handful of widely spoken languages like English or Mandarin – there’s still plenty to do before it will work with all 6,500+ other human tongues.

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Big tech tries to derail EU AI policy with ‘warnings’ from US think tank

Vampire tech

EU policymakers recently proposed a sweeping set of regulations called the Artificial Intelligence Act (AIA). If made law, the AIA would offer European citizens the strictest, most comprehensive protections against predatory AI systems on the planet. And big tech is terrified.

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Untitled Ventures joins the scramble for Russian & Eastern European startups with a $118M warchest

Untitled Ventures

Sorry Mr. Putin, but there’s a race on for Russian and Eastern European founders. And right now, those awful capitalists in the corrupt West are starting to out-gun the opposition! But seriously… only the other day a $100 million fund aimed at Russian speaking entrepreneurs appeared, and others are proliferating.

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[Paper Summary] Facebook AI Introduces few-shot NAS (Neural Architecture Search)

Neural Architecture Search (NAS) has recently become an interesting area of deep learning research, offering promising results. One such approach, Vanilla NAS, uses search techniques to explore the search space and evaluate new architectures by training them from scratch. However, this may require thousands of GPU hours, leading to a very high computing cost for many research applications.

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[Paper Summary] Researchers at Facebook AI, UC Berkeley, and Carnegie Mellon University Announced Rapid Motor Adaptation (RMA), An Artificial Intelligence (AI) Technique

To achieve success in the real world, walking robots must adapt to whatever surfaces they encounter, objects they carry, and conditions they are in, even if they’ve not been exposed to those conditions before. Moreover, to avoid falling and suffering damage, these adjustments must happen in fractions of a second.

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[Paper Summary] Facebook AI Releases ‘BlenderBot 2.0’: An Open Source Chatbot that searches the internet to engage in Intelligent Conversations

BlenderBot-2.0

The GPT-3 and BlenderBot 1.0 models are extremely forgetful, but that’s not the worst of it! They’re also known to “hallucinate” knowledge when asked a question they can’t answer.

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[Paper Summary] Researchers from Facebook AI Research and UIUC Propose ‘MaskFormer’, A Mask Classification Model

In recent years, semantic segmentation has become an important tool for computer vision. One type of the technique is called per-pixel classification and the goal is to partition images into regions with different categories using deep learning techniques such as Fully Convolutional Networks (FCNs). Mask classification is another alternative way that separates the image partitioning and classifying aspects of segmentation. Instead a single pixel, mask-based methods predict binary masks with each associated to those assigned to one specific class.

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Facebook and Matterport collaborate on realistic virtual training environments for AI

Kitchen robots

To train a robot to navigate a house, you either need to give it a lot of real time in a lot of real houses, or a lot of virtual time in a lot of virtual houses. The latter is definitely the better option, and Facebook and Matterport are working together to make thousands of virtual, interactive digital twins of real spaces available for researchers and their voracious young AIs.

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Noname Security closes $60M Series B to eliminate API flaws

noname

Enterprise API security startup Noname Security has raised a $60 million Series B funding round, just six months after closing $25 million at Series A. The round was led by Insight Partners with Next47, Forgepoint, and The Syndicate Group (TSG) also participating, and brings Noname’s total funding to $85 million since emerging from stealth in December 2020.

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[Paper Sumary] Facebook AI Releases ‘HuBERT’: A New Approach For Learning Self-Supervised Speech Representations

Many AI research projects have been striving to improve their ability to detect and interpret speech merely by listening and engaging with others, much like babies learn their first language. This needs not just assessing what someone says but also a variety of other clues from how those words are delivered, such as speaker identification, emotion, hesitation, and interruptions.

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How Social Media Platforms are using AI to Serve Customers

Social Media and AI

The popularity of artificial intelligence has grown so much that currently, it has become a chief component of social media platforms. Top social media platforms like Facebook, Snapchat, and Twitter are reaping the benefits of artificial intelligence. Introducing voice bots, identifying visuals, enhanced security, social media platforms are using AI, entirely under the discretion of the company that owns the platform. Even social media marketers have started using AI, machine learning, and automation technologies to boost their audience reach. Let us look at some ways how top social media platforms are using AI for their benefits and to serve the customers.

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Facebook’s latest AI can now reverse engineer deep fakes for source information

Mark Zuckerberg - deep fakes

Facebook has reached another milestone with its Artificial Intelligence technology. According to recent reports from the company, the social media conglomerate has made a breakthrough with its latest AI technology that, along with detecting deep fakes can now, also reverse engineer them to extract the source information.

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Artificial intelligence and the McData-fueled future of capitalism

Ronald McDonald

Ba da ba ba bah, McDonald’s is capturing and storing biometric data on its customers without their knowledge or consent. Per a report from The Register, McDonald’s may be facing a class action lawsuit after an Illinois customer sued the mega-corporation for allegedly violating the state’s Biometric Information Privacy Act (BIPA)

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In latest big tech antitrust push, Germany’s FCO eyes Google News Showcase fine print

Newspaper stack

The Bundeskartellamt, Germany’s very active competition authority, isn’t letting the grass grow under new powers it gained this year to tackle big tech: The Federal Cartel Office (FCO) has just announced a third proceeding against Google.

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Google hires former SiriusXM CPO/ CTO to lead its Maps team

Google hires Christopher Phillips

Almost exactly a year ago, Google announced a couple of leadership changes that saw Prabhakar Raghavan, who joined the company back in 2012, take over the lead of Search, Assistant and Maps. Now, sources familiar with the hiring tell us, the company has hired Christopher Phillips, who was previously the chief product and technology officer at SiriusXM, to lead its geo team.

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Here’s why the US continues to beat China in the AI race

USA vs China

The global AI race was supposed to be a sprint. Back in 2017 when driverless cars and domestic robots were thought to be just around the corner, the promise of deep learning made it seem like we were mere months away from living in an AI-powered utopia. As it turns out, the global AI race is more of a marathon. And the US has a huge lead that’ll be difficult to overcome for any country, but especially China.

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[Paper] Facebook AI releases Dynaboard: A New Evaluation platform for NLP Models

Last year, Facebook AI released Dynabench, a platform that radically rethinks benchmarking in AI, starting with natural language processing (NLP) models. Going forward, they have now announced a new evaluation-as-a-service platform for comprehensive, standardized evaluations of NLP models called Dynaboard. Dynaboard can perform apples-to-apples comparisons dynamically without common issues from bugs in evaluation code, inconsistencies in filtering test data, backward compatibility, accessibility, and several other reproducibility issues.

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Facebook and Microsoft launch PyTorch Enterprise Support Program

Pytorch

Facebook today announced the launch of the PyTorch Enterprise Support Program, which enables service providers to develop and offer tailored enterprise-grade support to their customers. Facebook says the new offering, built in collaboration with Microsoft, was created in direct response to feedback from PyTorch enterprise users developing models in production for mission-critical apps.

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