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ACM: Digital Library: Communications of the ACM

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Forecasting rates of sea level change in polar ice shelves: Polar scientists, along with atmospheric and ocean scientists, face an urgent need to understand sea level rise around the globe. Ice-shelf environments represent extreme environments for sampling and sensing. Current efforts to collect sensed data are limited and use tethered robots with traditional sampling frequency and collection limitations. The ability to collect extensive data about conditions at or near the ice shelves will inform our understanding about changes in ocean circulation patterns, as well as feedbacks with wind circulation. New research on intelligent sensors would support selective data collection, onboard data analysis, and adaptive sensor steering.


29 Best Data Analytics Certification Online Courses & Tutorials

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Do you want to upgrade your skills with Best Data Analytics Certification Online to stand out in the industry? Here is a list of Best Data Analytics Courses Online, Training, Tutorials, and Classes to assist you to become a top Data Analyst. Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subjects in every sector for almost every industry. Learn business analytics to get hands-on knowledge of big data analytics, data visualization, data management, and data mining as an analytics professional. The majority of business professionals are upgrading their skills with Best Data Analytics Training to stand out in their industry.


'Tis the Season to Explore our Best Deep Dives

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"Heuristics" may sound like a fancy word, but as Holly Emblem explains, it's in fact a clear, streamlined approach to problem-solving. Holly's post provides a clear definition and practical data science use cases for you to consider. A comprehensive look at the latest in object detection. There are deep dives, and then there's Chris Hughes and Bernat Puig Camps' overview of the YOLOv7 model. Don't let its hefty 50-minute reading time scare you--it's engaging and easy to follow, and offers a smooth blend of theory and practice.


Practical Machine Learning

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One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.


Best Life: New technology helps with stroke diagnosis

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Every three and a half minutes someone dies from one. Getting treated quickly is vital for survival and for a better recovery. Doctors are using artificial intelligence to diagnose stroke quicker than ever before. Every 40 seconds, someone in the U.S. has a stroke. Fifty percent of patients who have one are left disabled for life.


PhD student in Computing Science with focus on responsible machine learning

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The Department of Computer Science, characterized by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison, is looking for a Doctoral student in computing science with a focus on responsible AI with learning from multiple representations. The Department of Computing science has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. The 60 Doctoral students within the department consists of a diverse group from different nationalities, background and fields. If you work as a Doctoral student with us you receive the benefits of support in career development, networking, administrative and technical support functions along with good employment conditions. Is this interesting for you?


GitHub - ARM-software/ComputeLibrary: The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

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Important From release 22.05: 'master' branch has been replaced with'main' following our inclusive language update, more information here. Important From release 22.08: armv7a with Android build will no longer be tested or maintained. The Compute Library is a collection of low-level machine learning functions optimized for Arm Cortex -A, Arm Neoverse and Arm Mali GPUs architectures. The library provides superior performance to other open source alternatives and immediate support for new Arm technologies e.g. Note: The documentation includes the reference API, changelogs, build guide, contribution guide, errata, etc.


AI and Data Literacy: A National Mandate - DataScienceCentral.com

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I recently participated in a regional workshop of government, education, business, and social leaders where we were trying to ascertain and assess 1) the certainty of national trends and 2) the impact of those trends on the region. We reviewed many trends, including the growth of green jobs, growth in the Hispanic community, the decline in water quality and availability, the increasingly older population, declining enrollment trends, remote medicine, Electric Vehicle (EV) infrastructure. I was particularly interested in the trend "Growing Artificial Intelligence (AI) Industry." "The AI industry is expanding rapidly, and two metro areas have become important federal research and contracting centers for AI research. However, according to a 2021 Brooking study, "these two metro areas exhibit below-average commercialization activities in terms of per capita AI companies, job postings, and job profiles," suggesting an opportunity to use this capability to help spark job growth."


Personalising women's healthcare with artificial intelligence - Med-Tech Innovation

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Tim Simpson, general manager, Hologic UK & Ireland explores the potential of AI to improve access to targeted and personalised diagnosis and explores what is needed to truly personalise healthcare with AI. Innovation in technology is set to shape healthcare in the future and as we look to bounce back from COVID-19, we need to explore how we can harness the power of artificial intelligence (AI) to transform and personalise women's healthcare. The Government aims to put the UK at the forefront of the AI and data revolution in early diagnosis, innovation, prevention and treatment[i]. We need to take advantage of this focus on AI to understand how it can facilitate identifying women at high risk of health conditions such as cancer, to ensure speedy diagnosis and access to treatment. Issues in women's healthcare are not new, however the COVID-19 pandemic has accelerated the need for urgency in improving health outcomes for women, tackling health inequalities, and creating an improved patient pathway through personalised screening.


Today's Google Doodle celebrates Jerry Lawson, the 'father of the video game cartridge'

Engadget

Google's interactive Doodle today celebrates the life and accomplishments of video game pioneer Gerald "Jerry" Lawson on what would have been his 82nd birthday. The Doodle lets you play five retro pixel-art platformers in your browser -- with two even letting you play as Lawson. The Doodles' creators want to inspire young people to follow in his footsteps, and it includes a built-in level editor and creator to nudge them on that path. Lawson was known as the "father of the video game cartridge," which he developed as Director of Engineering and Marketing at Fairchild Semiconductor. In 1976, the company released the Fairchild Channel F home console, with Lawson serving as lead developer.