VOCHI raises additional $2.4 million for its computer vision-powered video editing app

Vochi

VOCHI, a Belarus-based startup behind a clever computer vision-based video editing app used by online creators, has raised an additional $2.4 million in a “late-seed” round that follows the company’s initial $1.5 million round led by Ukraine-based Genesis Investments last year. The new funds follow a period of significant growth for the mobile tool, which is now used by more than 500,000 people per month and has achieved a $4 million-plus annual run rate in a year’s time.

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A Human Rights responsibility primer for businesses developing AI: Part 2

Human rights

In this article, I will guide you through the basic human rights responsibilities of businesses developing and using AI — we already know why you need to make human rights a serious concern for your business, but what are you actually required to do? I will first explain the legal position of businesses under international human rights law and then focus on what businesses are responsible for. TLDR: You need to respect human rights.

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Questionable practices at some AI Autonomous Car makers spurring Whistleblowers 

Whistle blower

There is the old saying that you ought to not look in the kitchen when you go to some restaurants or eateries for a bite to eat. When you see how the food is being prepared, it might just make you sick to your stomach. You can apply this rule to just about any entity that makes any kind of product. Imagine if a toaster was being manufactured in a faulty manner and was likely to catch fire when put into use. We would undoubtedly welcome having an insider that worked in the company making the toaster come forward beforehand.   

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8 dimensionality Reduction Techniques every Data Scientists should know

Dimensionality Reduction is the process of transforming a higher-dimensional dataset to a comparable lower-dimensional space. A real-world dataset often has a lot of redundant features. Dimensionality reduction techniques can be used to get rid of such redundant features or convert the n-dimensional datasets to 2 or 3 dimensions for visualization.

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Bias in AI isn’t an enterprise priority, but it should be, survey warns

AI bias survey

A global survey published today finds nearly a third (31%) of respondents consider the social impact of bias in models to be AI’s biggest challenge. This is followed by concerns about the impact AI is likely to have on data privacy (21%). More troubling, only 10% of respondents said their organization has addressed bias in AI, with another 30% planning to do so sometime in the next 12 months.

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Designing for AI, Designing for Humans

Designing AI -AI for humans

Computers are completing a lot of tasks quickly and efficiently but when it comes to being creative, they can collapse. Designers, on the other hand, can create artistic pieces but can only move their hands fast while using design tools. This gives rise to the question; can we leverage the unique strengths of designers and AI through collaboration?

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Deep reinforcement learning helps us master complexity

Deep reinforcement learning—where machines learn by testing the consequences of their actions—is one of the most promising and impactful areas of artificial intelligence. It combines deep neural networks with reinforcement learning, which together can be trained to achieve goals over many steps. It’s a crucial part of self-driving vehicles and industrial robots, which have to navigate complex environments safely and on time.

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Sentiment & Engagement Analysis from your Slack data

A sneak peek into your Slack space’s emotions. Ever wondered how engaging was the content you delivered? Was it clear or confusing? Or if people misunderstood your message at that company-wide meeting? Remote environments give very little chance for teachers and leaders to gain feedback and optimize their content towards better performance.

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Tailor Brands raises $50M, aims to be one-stop shop for small businesses to launch

Tailor Brands

Tailor Brands, a startup that automates parts of the branding and marketing process for small businesses, announced Thursday it has raised $50 million in Series C funding. GoDaddy led the round as a strategic partner and was joined by OurCrowd and existing investors Pitango Growth, Mangrove Capital Partners, Armat Group, Disruptive VC and Whip Media founder Richard Rosenblatt. Tailor Brands has now raised a total of $70 million since its inception in 2015.

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The unavoidable difficulties of Machine Learning Systems: Data and Model Drifts

Machine learning systems are complicated. And sometimes, it’s not the fault of the engineers who build them. It’s the nature of machine learning systems. Here is what I mean… Let’s say that you did a great job at finding good data, you prepared it reasonably well, and your model made great predictions. Everything is pretty cool at the moment!

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Mental Health Chatbot Startup Woebot Raises $90 mln to address mental health concerns

Woebot - Mental Health Chatbot

Mental health startup Woebot Health announced on July 21st the raise of $90 million in a Series B funding round to boost its mental health chatbot to help deal with increasing mental health concerns around the world. With the new funding, the startup has raised a total of $114 million since its foundation in 2017.

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Are Google’s new Diffusion Models better than GANs?

Google AI has introduced two connected approaches to enhance the image synthesis quality for diffusion models: Super-Resolution via Repeated Refinements (SR3) and a model for class-conditioned synthesis, called Cascaded Diffusion Models (CDM).

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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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Impact of AI on Insurance Sector’s Digital Transformation

Work meeting

The insurance sector, much like pretty much every other industry in the world, has been racing to integrate a variety of novel technologies. Among them, there is one in particular that offers great promise: Artificial intelligence. This can be ascribed to its ability to help improve marketing and sales strategies, effect better risk management, and enhance the efficiency of a given insurance provider’s overall operations.

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V is for Data

V is for data

Data science, machine learning, and all forms of artificial intelligence have data at their core. We often focus the bulk of our attention on formulas or code when it comes to these disciplines and that makes sense for researchers in those areas of knowledge. But most professionals and hobbyists alike are practitioners of data science and machine learning instead of researchers.

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