Sectra's enterprise imaging portfolio gives you a unified strategy for all your imaging needs, and lets you improve patient outcome while lowering operational costs. Capture, store, access, share, and collaborate around medical multimedia throughout the entire enterprise and beyond.

San Jose, CA, Oct. 30, 2019 (GLOBE NEWSWIRE) -- via NEWMEDIAWIRE --Sonasoft Corp. (OTCQB: SSFT), a leader in innovative artificial intelligence (AI), today announced that it has won a contract with Padmini VNA, a manufacturer of products for original equipment manufacturers, for the Company's artificial intelligence (AI) solution, NuGene. The OEM manufacturer will deploy NuGene across an army of robots by O&M Robotics, a partner of Padmini VNA, enabling these robots to autonomously navigate and clean solar panels, allowing for millions of dollars in maintenance to be saved. Solar panels' efficiency can diminish by as much as 20% in domestic installations and as high as 60% in commercial installations. The number is too large to be ignored especially for commercial installations. This situation has encouraged the need for an efficient and cost-effective system to clean the surface of solar panels.

For example, suppose you want to build a simple linear regression model using an m-dimensional training data set. If the model uses the gradient descent algorithm to minimize the objective function in order to determine the weights w_0, w_1, w_2, …,w_m, then we can have an optimizer such as GradientDescent(eta, n_iter). Here eta (learning rate) and n_iter (number of iterations) are the hyperparameters that would have to be adjusted in order to obtain the best values for the model parameters w_0, w_1, w_2, …,w_m. For more information about this, see the following example: Machine Learning: Python Linear Regression Estimator Using Gradient Descent. Here, n_iter is the number of iterations, eta0 is the learning rate, and eed of the pseudo random number generator to use when shuffling the data.

In partnership with PBS KIDS, this year's competition will look at advancements in early childhood education. The results will lead to better designed games and improved learning outcomes, empowering children, parents, caregivers, and educators across the globe with insights into how young children learn through media and which approaches work best to help them build on foundational learning skills. The 90-day Data Science Bowl competition will award winning participants with a share of $160,000 in cash prizes. Research shows much of the most critical brain development in children takes place before they even reach kindergarten. Child development experts indicate it is during these first 5 years that children develop linguistic, cognitive, social, emotional, and regulatory skills that predict their later functioning in many domains.

With Thanksgiving and Christmas just around the corner, Airports are turning to AI companies like Zensors to help relieve passenger's travel stress Air travel, whether for business or pleasure has become a regular part of millions of Americans' lives and so has the hassle and stress that flying through crowded US airports poses to travelers. From the mad dash for parking at the airport to the long lines at security checkpoints to navigating long crowded airport concourses air travel is not for the faint of heart. Despite nearly a trillion dollars expected to be spent on airport construction and expansion projects over the next 10 years, things are going to get worse before they get better as the numbers of flights and passengers continue to increase, further straining airports' capacity. More than 2.7 million passengers fly every day and airports are likely to see up to a 25% increase in passenger volume from late November through early January. Some airports are taking steps to help manage stressful holiday travel.

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IoT Solutions World Congress -- A recent survey of global business leaders reveals the most significant predictor in realizing value from Internet of Things (IoT) initiatives across an organization is the heavy use of artificial intelligence (AI). Ninety percent of survey respondents heavily using AI in their IoT operations reported exceeding value expectations. The research also showed organizations using IoT with AI appear to be more competitive than IoT-only enterprises by a double-digit margin across a variety of business indicators like employee productivity, innovation and operating costs. "In these results, we are seeing that organizations working with IoT data realize that if they want to get the real value out of the data, they need AI and analytics," said Oliver Schabenberger, Chief Operating Officer at SAS. "I think it is fair to say that most successful IoT operations are actually AIoT operations." AIoT is defined as decision making aided by AI technologies in conjunction with connected IoT sensor, system or product data.

PLEASANTON, Calif., Oct. 29, 2019 /PRNewswire-PRWeb/ -- For the last four years, a friendly little robot has been engaging, entertaining and educating children across Asia. Now, the bestselling Miko 2 robot is bringing the marvel of conversational, play-based learning to kids in North America for the first time--at a special limited time price of $299 guaranteed to make the holiday season even more magical. Miko 2 can be pre-ordered at Miko.ai in 3 attractive colors and will ship in December with guaranteed arrival for the holidays. Miko 2 is the brainchild of Miko, an advanced consumer robotics innovation lab home to global educators, engineers and psychologists. "As a father, Miko's mission is close to my heart. We hope to see children learn and grow with our product and are thrilled to bring it to North American families, especially after the interest and support that we've received in Asia," said CEO Sneh Vaswani.

Debra Fahey will be joining the company as Senior Vice President, Global Head of Delivery & Operations, and Michael Fox will be joining as Senior Vice President of Product Management. Together, these leaders bring over 40 years of experience in the fields of technology, business analytics, innovation strategy, and software development to ElectrifAi's growing team of skilled professionals. "I am proud to welcome Debra and Michael as the newest additions to ElectrifAi's deep executive leadership team," said CEO, Edward Scott. "Their wealth of knowledge and invaluable experience in the fields of delivery, operations, and product management will be vital in their new roles advancing ElectrifAi's industry-leading Ai and ML products. I am confident Ms. Fahey and Mr. Fox will add value to our expanding global leadership team and continue to strengthen our expertise within the Ai and ML technology, innovation, and delivery of solutions."

The field of precision medicine has latched upon what may well be the Holy Grail in the fight against cancer. When big data are utilized by teams of pathologists, data can be incredibly helpful, but when the right data are comprehensively analyzed by artificial intelligence (AI)-powered models, the data can be downright lifesaving. Predictive Oncology (NASDAQ: POAI) (POAI Profile) is in an enviable position in the precision-medicine industry due to its incredibly rich data set of more than 150,000 clinically validated cases on its molecular information platform, with 30,000-plus specific to ovarian cancer. The company is leveraging this unique database through Artificial Intelligence to provide the actionable insights needed to drive pharma R&D programs and improve patient outcomes. A data asset like this typically takes at least five years to fully validate and most competitors are only in the early stages of the process.