While Amazon takes special care to position its Ring video doorbell product as a friendly, high-tech version of the traditional "neighborhood watch," U.S. lawmakers and privacy advocates are becoming increasingly skeptical. As they see it, Amazon Ring is putting into place few if any safeguards to protect personal privacy and civil rights. Now that Amazon Ring is partnering with hundreds of law enforcement and police agencies around the nation to share surveillance video, these privacy concerns are only mounting. In November, Amazon Ring released new details about its surprisingly extensive partnership agreements with law enforcement agencies. This update is a follow-up to a Washington Post article outlining Amazon Ring's new partnerships with law enforcement.

What if developing a 3D gaming world were as easy as snapping pics with your phone? Nvidia researchers recently developed an AI system capable of predicting a complete 3D model from any 2D image. Called "DIB-R," the AI takes a picture of any 2D object – an image of a bird, for example – and predicts what it would look like in three dimensions. This prediction includes lighting, texture, and depth. DIB-R stands for differentiable interpolation-based renderer, meaning it combines what it "sees," a 2D image, and makes inferences based on a 3D "understanding" of the world.

Many believe SageMaker, the machine learning (ML) service from Amazon Web Services, has truly democratised the adoption of artificial intelligence (AI) and data science by making it available for developers, corporations, and laymen alike. What you may not know is that the idea behind this AWS offering took root in Chennai a few years ago, when a software engineer on an annual pilgrimage back home was nursing a bad bout of jet jag. Swami Sivasubramanian, VP, Machine Learning, AWS, is considered a pioneer in cloud computing. The 41-year-old joined Amazon in 2005 after completing a PhD in distributed computing, making him one of the early employees for an idea that is now a $36 billion ARR business. Over the years, he has built 40 AWS services along with his team.

Radiological sciences in the last ten years have advanced in a revolutionary manner, especially when it comes about medical imaging and computerized medical image processing. These techniques help in the understanding of the disease as well as initiation and evaluation of ongoing treatment. Apart from this, the dataset of these images is used in further analysis of such diseases occurring around the world as a whole. Heather Landi, a senior editor at Fierce Healthcare, writes in an article that IBM researchers estimate that medical images, as the largest and fastest-growing data source in the healthcare industry, account for at least 90 percent of all medical data. We can use a computer to process and manipulate the multidimensional digital images of psychological structures in order to visualize hidden characteristic diagnostic features that are very difficult or perhaps impossible to see using planer imaging methods.

Along with the benefits come new risks and regulatory challenges meaning doctors now have to consider how best to reduce risk when it comes to medical technology. From spotting malignant tumours to reading CT scans and mammograms, Artificial Intelligence and Machine Learning-based technology is faster and more accurate than traditional devices – or even the best doctors. In a new article, Algorithms on regulatory lockdown in medicine, recently published in Science, researchers look at the new challenges facing regulators as they navigate the unfamiliar pathways of Artificial Intelligence and Machine Learning. In the paper, the researchers consider the questions: what new risks do we face as Artificial Intelligence and Machine Learning (AI/ML) devices are developed and implemented? How should they be managed?

On the need to strengthen the country's components and industrial materials industries, Choi said the government is committed to pouring 5 trillion won into related R&D up till 2022, with support being given to smart chips, future mobility, quantum technology, biotech and laying the foundation for a hydrogen economy.

Combining data science, artificial intelligence (AI), and machine learning to better identify patterns that may underlie the cause or causes of multiple sclerosis (MS) is the focus of a novel partnership. Despite numerous advances in MS research and treatments, what causes the disease is still unknown. "Given the complexity of MS and the urgent need to help patients that are living with this diagnosis, we wanted to explore new ways to infuse technology into our research," Saud A. Sadiq, MD, director and chief research scientist at the Tisch MS Research Center of New York (Tisch MSRCNY), said in a press release. Sadiq and fellow researchers at Tisch MSRCNY collaborated with Deloitte, a consulting and advisory services company. Tisch MSRCNY is a nonprofit center specialized in MS, its causes, biomarkers, and other disease research tools.

ODSC is the best community data science event on the planet. There are other events that cover special topics, or industries, etc., but ODSC is comprehensive and totally community-focused: it's the conference to engage, to build, to develop, and to learn from the whole data science community. ODSC East 2020 is one of the largest applied data science conferences in the world. Our speakers include some of the core contributors to many open source tools, libraries, and languages. Attend ODSC East 2020 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.

Chorus.ai's Smart Call Disposition now automatically detects cold call results to improve connection rates, drive top of the funnel pipeline and provide opportunities for rep coaching. San Francisco: Chorus.ai, a Conversation Intelligence Platform for high-growth sales teams, today announced the launch of Cold Call Central during Dreamforce and OpsStars 2019. Cold Call Central uses artificial intelligence to provide Sales and Sales Development leaders insights into cold calls to drive "booked" meetings and top-of-funnel results. This new customizable view in Chorus surfaces actionable insights that enable prospecting teams to identify top-performing talk tracks, enrich 1:1's with recommended calls that need coaching, build a strategy around improving connection rates, and drive better alignment between Sales Development Reps and Account Executives. This first-of-its-kind custom view, tailored for SDR and self-prospecting sales teams, is powered by Chorus's proprietary Smart Call Disposition feature.

Artificial intelligence is causing microcontrollers to achieve higher levels of functionality. FREMONT, CA: Memory and computing capabilities are not crucial to run AI algorithms anymore. Today, the smallest of systems, with minimum processing and storage, can support AI and ML programs. Microcontrollers with artificial intelligence have become feasible today. Unlike full-scale computers, microcontrollers are simple and using a programmer, one can execute codes in it.