Ad man David Ogilvy once famously said: "Give me the freedom of a tight brief." A tight creative brief to agency creative teams eliminates time-wasters and tangential information, making it faster and easier to get from the starting point to an effective creative idea. So does a tight marketing brief from marketing teams to agencies. Rightly or wrongly, for many marketers, the task of writing the brief is often perceived as being time-consuming, repetitive and overly administrative -- in short, it feels a long way from being the conduit to creativity it should be. In fact, it's one area of marketing calling out for the elimination of the unnecessary to unleash the extraordinary.

Decades of technological advances have led to a revolution in ultrasound machines that has given rise to modern devices that weigh less than a pound and can display images on smartphones. But they still require an expert to make sense of the resulting images. "It's not as easy as it looks," said Richard Fabian, CEO of Fujifilm SonoSite, a pioneer of ultrasound technologies. "A slight movement of your hand means all the difference in the world." That's why SonoSite is focused on a future in which artificial intelligence helps healthcare workers to make sense of ultrasounds in real-time.

Researchers at Tomsk Polytechnic University jointly with the University of Chemistry and Technology (Prague) conducted a series of experiments which proved that artificial neural networks can accurately identify DNA damage caused by UV radiation. In the future, this approach can be used in modern medical diagnostics. An article, dedicated to those studies, was published in the Biosensors and Bioelectronics journal. According to the authors, the ways UV could affect the DNA structure, especially with short-term irradiation, remain practically unstudied. UV radiation is also known to cause cancer.

Summary: The Science Mission Directorate (SMD) seeks suggestions for topics relevant to 2014 SMD Science Plan amenable to application of Artificial Intelligence/Machine Learning tools for the 2020 Frontier Development Laboratory Program. Background: FDL is an applied artificial intelligence (AI) research accelerator leveraging the newest developments in AI and Machine Learning (ML) technologies from academia and the private sector and applying them to challenges relevant to NASA's goals in space and earth sciences. Teams of computer scientists and space and earth scientists work to solve problems important to NASA and humanity's future within a given time frame. Each team is made up of four participants (two computer scientists and two domain scientists). The teams are mentored by subject matter experts (SMEs) in both science domains and AI/ML.

The Future Of Work: Are You Ready For Smart Cobots?

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted the rapidly increasing expectations regarding the business benefits of AI and the low incidence of business gains so far; the increasing adoption of AI by businesses worldwide and the challenges in its implementation and integration with exiting processes; and how companies respond to AI by both reducing and training their workforce. The report estimated the combined AI spending from large-capitalization financial institutions at more than $150 billion annually. In the past two years, BB&T Corp. has embraced a digital-first approach to plugging in artificial intelligence and robotics into its back-office, customer-service and compliance operations. That should eclipse the 1,281 companies that raised $16.8 billion in all of 2018, according to the 3Q 2019 PitchBook-NVCA Venture Monitor [VentureBeat] "The values of AI designers or the purchasing administrators are not necessarily the values of the bedside clinician or patient. Those value collisions and tensions are going to be sites of significant ethical conflict"--Danton Char, assistant professor of anesthesiology, perioperative and pain medicine at Stanford University Medical Center "I don't yet fully subscribe to the view that the machine is completely autonomous and operates without human intervention. At least as of today, and probably the foreseeable future, the AI machine is just another tool"--Andrei Iancu, director of the U.S. Patent and Trademark Office, speaking about recognizing AI systems that develop new products as inventors "If leaders think about AI like a balance sheet, then they're missing the point. You need to get emotional attachment to the disruptive nature that it can bring"--Werner Boeing, CIO, Roche Diagnostics "The major upside for us is driving more engagement….Right behind that is the ability to monetize this and generate incremental revenue for us and for our clubs….This data's going to be hugely valuable"--Dave Lehanski, NHL senior vice president of business development and global partnerships

An AI firm that is assisting in detecting and diagnosing heart conditions has announced its launch in the UK. It's thought the new product could help save the NHS billions of pounds. This condition affects around 1.2 million people in the UK alone. Public Health England estimates that around half a million live with undiagnosed AF, a disorder which left untreated, can lead to strokes, disability and even death. It's thought that strokes cost the NHS around £4 billion a year.

Deep learning and its applications have grown in recent years. Recently, researchers from ETH Zurich used the technique to study dark matter in an industry first. Now, a team working with the University of California, Berkeley and the University of California, San Francisco (UCSF) School of Medicine have trained a convolutional neural network dubbed "PatchFCN" that detects brain hemorrhages with remarkable accuracy. In a paper titled "Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning", the team claims that: We used a single-stage, end-to-end, fully convolutional neural network to achieve accuracy levels comparable to that of highly trained radiologists, including both identification and localization of abnormalities that are missed by radiologists. The team achieved an accuracy of 99 percent, which is the highest recorded accuracy to date for detecting brain hemorrhages. Our algorithm demonstrated the highest accuracy to date for this clinical application, with a receiver operating characteristic (ROC) area under the curve (AUC) of 0.991 0.006 for identification of examinations positive for acute intracranial hemorrhage, and also exceeded the performance of 2 of 4 radiologists.

Use code MEETUP at check out for 20% OFF! Spots are limited! Since its establishment in 2009, RMDS has become one of the largest data science communities in California with over 33,000 data professionals and researchers. After the success of over 50 meetups, we have witnessed the growing need for a larger conference with more than 1500 attendees expected. We are glad to announce that RMDS will collaborate with the City of Pasadena, CA to hold its annual conference in Pasadena Convention Center on Dec 6-7. Also, we will launch our unique certificate workshop program with UCR -- one of the most prominent public universities in California -- to provide a practical and hands-on learning experience on Dec 5. Spots are limited.

Will androids write novels about electric sheep? The dream, or nightmare, of totally machine-generated prose seemed to have come one step closer with the recent announcement of an artificial intelligence that could produce, all by itself, plausible news stories or fiction. It was the brainchild of OpenAI – a nonprofit lab backed by Elon Musk and other tech entrepreneurs – which slyly alarmed the literati by announcing that the AI (called GPT2) was too dangerous for them to release into the wild, because it could be employed to create "deepfakes for text". "Due to our concerns about malicious applications of the technology," they said, "we are not releasing the trained model." Are machine-learning entities going to be the new weapons of information terrorism, or will they just put humble midlist novelists out of business?