Fern Halper, Ph.D., is vice president and senior director of TDWI Research for advanced analytics. She is well known in the analytics community having been published hundreds of times on data mining and information technology over the past 20 years. Halper is also co-author of several Dummies books on cloud computing and big data. She focuses on advanced analytics, including predictive analytics, text and social media analysis, machine learning, AI, cognitive computing and big data analytics approaches. She has been a partner at industry analyst firm Hurwitz & Associates and a lead data analyst for Bell Labs.

GPUs are famously expensive – high end Nvidia Teslas can be priced well above $10,000. Now a New York startup, Paperspace, has announced a free cloud GPU service for machine/deep learning development on the company's cloud computing and deep learning platform. Designed for students and professional learning how to build, train and deploy machine learning models, the service can be thought of as an ML/DL starter kit that helps developers expand their skills and try out new ideas without financial risk. Utilizing Nvidia Quadro M4000 and P5000 GPU's and called "Gradient Community Notebooks," the service is based on Jupyter notebooks and enables developers working with widely used deep learning frameworks, such as PyTorch, TensorFlow, Keras and OpenCV, to launch and collaborate on their ML projects. Similar to GitHub, Gradient Community Notebooks can be shared and "forked" into a user's own account while providing pre-loaded templates with various libraries, dependencies and drivers, the company said.

Today's leading minds talk AI with host Byron Reese On this Episode of Voices in AI Byron speaks with futurist and CEO of the Millennium Project Jerome Glenn about the direction and perception of AI as well as the driving philosophical questions behind it. Listen to this episode or read the full transcript at www.VoicesinAI.com Byron Reese: This is Voices in AI brought to you by GigaOm, and I'm Byron Reese. Today my guest is Jerome Glenn. He has for 23 years been the Director and CEO of the Millennium Project.

Boston Children's Hospital bioengineers have developed catheter guided by artificial intelligence that can self-navigate inside a simulated beating heart. Bioengineers at Boston Children's Hospital have developed a catheter driven by artificial intelligence (AI) that can self-navigate inside a simulated beating heart. The proof-of-concept research offers the eventual promise of a significant advance in robotic surgery, given that the catheter is completely autonomous. "Robotics has been and still is investigated for the navigation of instruments such as guide wires and catheters," says Sylvain Martel, director of the NanoRobotics Laboratory of Polytechnique Montréal, a leading Canadian engineering educational and research institutions. "But what differentiates this work is the level of integration of AI to achieve full autonomy."

The Canadian government is taking the lead in setting governance standards in the application of AI, prescribing a risk-based framework that can be a model for creating an AI-powered organization. The Directive on Automated Decision-Making classifies AI decisions based on the potential impact of their outcomes as well as on the sustainability of ecosystems. The directive makes it clear that AI is not a one-size fits all problem. If an automated decision is going to directly affect the rights, health and economic interests of individuals, communities and entities, the AI application needs to be managed by rules that match the potential harm it could cause. In many cases, these rules call for the intervention and review of the decision by humans to ensure appropriate oversight.

The age-old beauty industry is getting a dynamic makeover from the thousands of bloggers sharing beauty and makeup tips and techniques and cosmetic preferences on the Internet. But when it comes to visualizing questions like "which shade of lipstick should I try?" or "why does my makeup look so different from the makeup in the demo video?" AI may be better equipped to provide the answers. A multi-institute research group recently released the paper PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer, which proposes a novel method for transferring makeup styles from a reference picture to a user's source image. PSGAN can not only transfer the makeup styles from reference images which contain different poses and facial expressions from the source image, it can also process partial and interpolated makeup styles from multiple reference images.

We are pleased to announce an exclusive agreement with Infinnium, a software company delivering innovative solutions to transform information governance and corporate decision-making using artificial intelligence for forensic accounting and related consulting services in the EU. The agreement creates a powerful combination between FRA's global expertise in forensic accounting and consulting expertise with Infinnium's 4iG platform, the innovative suite of technologies empowering modern data governance and privacy law compliance needs of the enterprise. Both FRA and Infinnium have extensive and global cross-border and cross-sector litigation and investigations experience and working together will offer a distinct competitive advantage in the marketplace. Exponential increase of data volume and types across the ever-growing multitude of siloed applications have combined to exceed organizations' ability to manage data conventionally. Organizations face challenges to identify and organize their data, comply with regulatory requirements, apply policy or process, or optimize its value.

It's karaoke-rehearsal time at Knollwood Military Retirement Community, a 300-bed facility tucked away in a leafy corner of northwest Washington, D.C. Knollwood resident and retired U.S. Army Colonel Phil Soriano, 86, has hosted the facility's semi-monthly singalongs since their debut during a boozy snowstorm happy hour in 2016. For the late August 2019 show, he'll share emcee duties with a special guest: Stevie, a petite and personable figure who's been living at Knollwood for the last six weeks. Soriano wants to sing the crowd-pleasing hit "YMCA" while Stevie leads the crowd through the song's signature dance moves. But Stevie is a robot, and this is harder than it sounds. "We could try to make him dance," says Niamh Donnelly, the robot's lead AI engineer, though she sounds dubious. She enters commands on a laptop.

Protenus was founded in 2014 by Nick Culbertson, CEO, and Robert Lord, Chief Strategy Officer. The two met while attending the Johns Hopkins School of Medicine during the rise of the electronic medical record. They saw firsthand the new slate of serious security and privacy concerns brought in its wake. Both had analytical backgrounds, as Lord designed and managed analytical systems for a highly successful hedge fund, while Culbertson served eight years in the U.S. Army working in human intelligence and completed his service as a highly-decorated Special Forces operator, as a Green Beret. Culbertson also has experience in biomedical research participating in a variety of studies, including synthetic biology, cellular engineering and clinical outcomes.

In areas like the Caribbean that face considerable risk from natural hazards like earthquakes, hurricanes, and floods, these forces of nature can have a devastating effect. This is especially true where houses and buildings are not up to modern construction standards, often in poor and informal settlements. While buildings can be retrofit to better prepare them for disaster, the traditional method for identifying high-risk buildings involves going door to door by foot, taking weeks if not months and costing millions of dollars. This is where AI can help. WeRobotics and the World Bank Global Program for Resilient Housing have teamed up to prepare aerial drone imagery of buildings across the Caribbean annotated with characteristics that matter to building inspectors.