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New Zealand: artificial intelligence comes to the rescue of Māui's dolphins - Actu IA

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There are more than 30 species of dolphins in the world, the Māui dolphin, which lives off the west coast of the North Island, New Zealand, faces a threat of extinction. To save this rarest of the world's dolphins, a nonprofit organization has been formed called MAUI63 (Marine Animal Unmanned Identification, with 63 representing the estimated number of Māui dolphins when this initiative began in 2018). The team's scientists and conservationists use an AI-powered drone to locate, track, identify, and ultimately protect these and Hector's dolphins. The Māui dolphin population has declined further since the project began, as a 2021 survey counted only 54. Hector's and Māui dolphins are small coastal dolphins found only in New Zealand.


Global AI firm, Sidetrade, Chooses Calgary for North America Expansion

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Global AI-powered Order-to-Cash platform, Sidetrade, announced an acceleration to its North America offensive strategy with plans to invest $24 million and add 110 full-time jobs in Calgary over the next three years. Just one year since the launch of its North America operations, Sidetrade has exceeded expectations with 58% of its new bookings now from the North America market. The SaaS provider has been recognized by Gartner as one of just three Leaders in the 2022 Magic Quadrant for Invoice to Cash applications. Sidetrade is now accelerating its expansion into North America by investing $24 million in the next three years and hiring in the region. Brad Parry, President and CEO of Calgary Economic Development, said: "Sidetrade's expansion in Calgary as its North American headquarters speaks to the city's leading business environment and the exciting momentum in our tech and innovation ecosystem. Alberta and Calgary are centres for AI excellence with highly skilled talent, and as a global leader in AI, Sidetrade joins a growing roster of multinational companies that call Calgary home, where bright minds with big ideas are solving global challenges."


LivePerson Appoints New CMO to Accelerate Growth and Drive Operational Rigor

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LivePerson, a global leader in customer engagement solutions, announced the appointment of Chief Marketing Officer Ruth Zive, who will be introduced to customers as the host of the company's next Executive Community event in San Francisco on October 20. These signature events bring customer care, marketing, and sales VIPs from the world's top brands together to exchange ideas with peers who work with LivePerson to transform customer engagement through Conversational AI. "I've been following LivePerson closely from the sidelines -- impressed by its market presence, roster of top tier enterprise customers, and winning platform -- and can think of no better time to meet customers than during this flagship event," said Zive. "I'm energized to join this team, composed of the industry's best talent, to help catalyze LivePerson's next stage of growth." Zive will oversee LivePerson's global marketing organization, including digital and demand generation, field marketing and sales development, vertical and product marketing, branding, and internal and external communications. Her priority is to grow scalable, measurable, and predictable world-class demand generation while driving operational rigor. In joining LivePerson, Zive becomes a three-time enterprise software CMO.


SiteZeus Partners with Spatial.ai to Offer Groundbreaking Customer Segmentation Solution

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SaaS companies SiteZeus and Spatial.ai have teamed up to offer growing brands a cutting-edge customer segmentation platform: SiteZeus Market, powered by PersonaLive. Equipped with unprecedented insights, marketers across all industries can now craft highly tailored campaigns and deploy them efficiently. The end result: an increased return on every marketing dollar spent. This new technology empowers companies to truly understand their customers by transcending the limitations of traditional demographic data and surveys. A brand can now identify, analyze, and target its top customer groups based on their real-time social media activity, online behaviors, and in-store visitation patterns.


Learning on the edge

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Training a machine–learning model on an intelligent edge device allows it to adapt to new data and make better predictions.


White House Unveils Artificial Intelligence 'Bill of Rights'

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The Biden administration unveiled a set of far-reaching goals aimed at averting harms caused by the rise of artificial intelligence (AI) systems.


Interesting AI Papers Submitted at ICLR 2023

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The International Conference on Learning Representatives(ICLR) is one of the largest AI conferences held annually--with 2023 as its eleventh edition. In a recent announcement, ICLR 2023 confirmed their date of submissions along with marking January 20, 2023 as the final date of decision. Diffusion models have caused recent developments in text-to-image synthesis trained on billions of image text pairs. This work proposes the elimination of the need to adopt large-scale datasets for de-noising the 3D synthesis and replacing it by employing a pre-trained 2D text-to-image diffusion model to perform text-to-3D synthesis. The paper further examined'Dream Fusion' as a method for converting text to a 3D model that uplifts text to image models, optimising neRFs and eliminating the need for datasets with 3D objects and labels.


Should We Really Care About Explainability In AI?

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In the recent past, it is no secret that AI, especially cutting-edge deep learning algorithms, have been plagued by the explainability crisis. In May 2021, two researchers from computer scientist Su-In Lee's Lab of Explainable AI for Biological and Medical Sciences in Seattle published a paper in Nature titled, 'AI for radiographic COVID-19 detection selects shortcuts over signal', discussing the far-reaching effects of this issue. With the increased usage of AI in critical industries like healthcare and finance, explainability has become even more critical. In the heyday of the COVID-19 crisis, researchers started developing AI systems to detect COVID-19 accurately. But the technique that the systems used remained behind the curtain.


Deep learning improves the accuracy of multispectral image analysis for digital pathology

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The development of digital pathology has resulted in radically better patient care and medical research. The cellular microenvironment is complex, but the introduction of tools like Imaging Mass CytometryTM (IMCTM, Fluidigm) and high-plex fluorescence staining panels has boosted researchers' capacity to probe it (e.g. The development of techniques for spotting significant variations in the datasets has become more difficult as a result of increases in the volume and complexity of the data that these technologies produce. Dr. Heather Stevenson is the Director of Transplantation Pathology at the University of Texas Medical Branch and an Associate Professor there. Her main area of study is hepatic immunology, specifically how dysregulation of the immune system contributes to the fibrosis development.


Transformer-Based Models Aid Prediction of Transient Production of Oil Wells

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The authors apply a novel deep-learning algorithm called a transformer to build surrogate models for simulations of well performance. Transformer architecture initially was developed for natural-language processing problems. However, in recent years, researchers have adapted transformers for time-series forecasting.