Black Swan Data is a fast-growing technology and data science business, with offices in the UK, South Africa, Hungary. We build high quality SaaS solutions which automate data science using advanced machine learning and deep learning techniques. We use some of the coolest technology on the planet so you will never get bored of doing the same thing. You'll be part of a dynamic and growing global team As we continue to grow across the world, you'll find every day brings with it fresh challenges and opportunities to try new things. You'll be part of a diverse, smart, agile but laid-back team passionate about technology, who are also open-minded and always open to new ideas.

Tensor decompositions have proven to be effective in analyzing the structure of multidimensional data. However, most of these methods require a key parameter: the number of desired components. In the case of the CANDECOMP/PARAFAC decomposition (CPD), this value is known as the canonical rank and greatly affects the quality of the results. Existing methods use heuristics or Bayesian methods to estimate this value by repeatedly calculating the CPD, making them extremely computationally expensive. In this work, we propose FRAPPE and Self-FRAPPE: a cheaply supervised and a self-supervised method to estimate the canonical rank of a tensor without ever having to compute the CPD. We call FRAPPE cheaply supervised because it uses a fully synthetic training set without requiring real-world examples. We evaluate these methods on synthetic tensors, real tensors of known rank, and the weight tensor of a convolutional neural network. We show that FRAPPE and Self-FRAPPE offer large improvements in both effectiveness and speed, with a respective $15\%$ and $10\%$ improvement in MAPE and an $4000\times$ and $13\times$ improvement in evaluation speed over the best-performing baseline.

This week Aidoc announced that they have raised $110 million in their Series D expansion round. This round of funding was co-led by TCV and Alpha Intelligence Capital with participation from CDIB Capital. Funding raised in this round will go toward expansion of Aidoc's first of its kind AI Care Platform. The platform offers health systems a singular platform solution designed to help doctors manage the entire patient lifecycle--from diagnostic aid, to consultation, to suggested treatment paths, to patient follow-up tools. In clinical studies, this platform has proven to reduce turnaround time, shorten patient length of stay and improve patient outcomes.

Figure 1: In real-world applications, we think there exists a human-machine loop where humans and machines are mutually augmenting each other. We call it Artificial Augmented Intelligence. How do we build and evaluate an AI system for real-world applications? In most AI research, the evaluation of AI methods involves a training-validation-testing process. The experiments usually stop when the models have good testing performance on the reported datasets because real-world data distribution is assumed to be modeled by the validation and testing data.

Air pollution is still a problem almost everywhere, so researchers investigate using AI to fight air pollution. Although other environmental topics such as global warming, loss of biodiversity, soil degradation and unsustainable use of freshwater resources have become more prominent in recent years, air pollution has remained an issue which deserves our attention and action. According to the World Health Organisation, between 3 and 8 million people die prematurely every year, because the air they breathe frequently contains harmful substances which may affect the respiratory system, lead to inflammatory diseases or impact the human immune system. Despite several regulations that aim to reduce emissions of air pollutants and put limits on the levels of ambient air pollutant concentrations, measurements across Europe still regularly exhibit concentration levels beyond the threshold values that are deemed safe for human health and food production. Other world regions face even larger problems; sometimes the pollution in the megacities of Southern and Eastern Asia, Africa and South America is so severe that it is almost impossible for people to go about their work or navigate through the streets.

MoEngage, the insights-led customer engagement platform, released its new report, What's Working for Email in 2022: Benchmarks and Insights from Around the World. The comprehensive report analyzes the performance of more than 5 billion marketing emails sent on MoEngage's customer engagement platform to measure the impact of AI, automation, and personalization. MoEngage's analysis shows a significant jump in email engagement metrics when messages are supported by dynamic personalization, email automation, and journey-based customization. "Broadcast, or'blast' emails, are a thing of the past. Customers are now actively searching for and responding to emails tailored to their specific customer journey, segmented for their behavior and personalized to their preferences," said Raviteja Dodda, CEO and co-founder of MoEngage.

Medallia, Inc., the global leader in customer and employee experience, announced that Travelodge, the UK's largest independent hotel brand, has implemented Medallia's experience management platform to power its new Voice of the Customer programme. Medallia's technology has been rolled out across 590 Travelodge hotels across the UK, Ireland and Spain, providing the hotel brand with a consolidated and real-time view into the customer experience. Travelodge (UK) has deployed the full suite of Medallia's experience management platform – implementing a combination of data analytics, artificial intelligence, and active listening. The platform also offers real-time integration with Travelodge's social channels and review sites, such as Tripadvisor and Google Reviews, as well as its hotel management tools, allowing it to cross-check customer feedback with quality processes such as room checks. Medallia's platform provides Travelodge with a comprehensive view into the customer voice across all channels in real-time, allowing its hotel managers and leadership team to proactively identify early warning signals.

The second edition of the Middle East Digital Health Forum will kick off on June 16, with officials and industry experts in Dubai converging to spotlight new transformations in the healthcare sector and the role that technology will play in creating a sustainable future for the industry. Presented by Khaleej Times, under the endorsement of the Ministry of Health & Prevention, the event sees Hewlett Packard Enterprise as the Gold Sponsor and KeyReply as the Networking Sponsor. The in-person event will discuss the impact of digitisation on everyday healthcare and strategies to overcome challenges for sustainable digital healthcare transformation. Experts have noted that the global healthcare ecosystem is undergoing unprecedented changes with the 4th industrial revolution bringing in technologies such as Artificial Intelligence, the Internet of Things, and big data. They explained that the healthcare industry has already been slow in the uptake of the technology revolution, and that this has brought about several challenges.

That job is being made harder by false, often homophobic theories that are spreading on all major social media platforms, according to research carried out for MIT Technology Review by the Center for Countering Digital Hate. These false claims are making it harder to convince the public that monkeypox can affect everyone, and they could dissuade people from reporting potential infections. Some of this misinformation overlaps with familiar pandemic conspiracy theories, attacking Bill Gates and "global elites'' or suggesting that the virus was developed in a lab. But much of it is directly homophobic and attempts to pin blame for the outbreak on LGBTQ communities. Some Twitter posts claim countries where anti-LGBTQ rhetoric is illegal are the areas where monkeypox cases are highest, or call the virus "god's revenge."

The robotics business has skilled numerous modifications not too long ago. What is going to drive the business modifications for the subsequent few years? Listed here are our 5 predictions for robotics in the remainder of the 12 months… earlier than we go to Automatica 2022. Nicely… the brand new decade of 2020 is lastly underway. Now that the delay attributable to Covid-19 is over, we will see that the robotics and automation business has skilled main modifications through the pandemic.