Clinical diagnosis of breast malignancy (BM) is a challenging problem in the recent era. In particular, Deep learning (DL) models have continued to offer important solutions for early BM diagnosis but their performance experiences overfitting due to the limited volume of breast ultrasound (BUS) image data. Further, large BUS datasets are difficult to manage due to privacy and legal concerns. Hence, image augmentation is a necessary and challenging step to improve the performance of the DL models. However, the current DL-based augmentation models are inadequate and operate as a black box resulting lack of information and justifications about their suitability and efficacy. Additionally, pre and post-augmentation need high-performance computational resources and time to produce the augmented image and evaluate the model performance. Thus, this study aims to develop a novel efficient augmentation approach for BUS images with advanced neural style transfer (NST) and Explainable AI (XAI) harnessing GPU-based parallel infrastructure. We scale and distribute the training of the augmentation model across 8 GPUs using the Horovod framework on a DGX cluster, achieving a 5.09 speedup while maintaining the model's accuracy. The proposed model is evaluated on 800 (348 benign and 452 malignant) BUS images and its performance is analyzed with other progressive techniques, using different quantitative analyses. The result indicates that the proposed approach can successfully augment the BUS images with 92.47% accuracy.

The 28-year-old founders of TollBit, a New York-based startup that is all of six months old, think we're living in the "Napster days" of AI. Just like people of a certain generation downloaded digital music, companies are ripping off vast swaths of the internet without paying the rights holders. They want TollBit to be the iTunes of the AI world. "It's kind of the Wild West right now," Olivia Joslin, the company's co-founder and chief operating officer, told Engadget in an interview. "We want to make it easier for AI companies to pay for the data they need."

In my previous Nextgov column, I got to interview the general manager of a company that is using artificial intelligence to help the military plan out its maintenance schedules. That program uses AI in a really good way that plays to its strengths, namely its ability to consider thousands of data points, much more than a human ever could, to come up with an action plan for maintenance that maximizes both efficiency and safety. However, when it comes time to actually perform the maintenance, those tasks must be delegated back to a human. But what happens if those physical tasks are also extremely complicated? The CV-22 Osprey is a perfect example of a military aircraft that is both revolutionary and complicated to maintain.

A global virtual conference aimed at promoting the use of artificial intelligence (AI) and machine learning (ML) for the development of Odisha and advancement of Odia language in the digital era is being organized on 4th October Sunday, on the virtual meeting platform Zoom. The conference, called Odias in ML Conference, is being organized by a group of Odias, also called Odias in ML, with a shared interest in AI and ML. The conference also aims to showcase career and entrepreneurship opportunities in AI and ML for Odias across the world. This first-of-its-kind conference will see participation of a multitude of stakeholders including technologists, researchers, academicians, business executives, entrepreneurs, policymakers, linguists, language activists, media persons and community leaders, all with a commitment to AI and machine learning. The speakers, all Odias based across three continents, will come together to brainstorm how the opportunities created by these emerging technologies can be leveraged effectively to propel the next phase of growth for Odisha and Odias.

A journalist rode in a driverless vehicle last month. The tricked-out minivan navigated busy city streets, made an unprotected left-hand turn and even reached speeds of 45 mph. According to a TechCrunch report, it was a completely uneventful, yet remarkable ride in a Waymo fully autonomous vehicle. FRANKFURT AM MAIN, GERMANY - SEPTEMBER 12: John Krafcik, CEO of Waymo, speaks at the opening event ... [ ] of the IAA 2019 Frankfurt Auto Show on September 12, 2019 in Frankfurt am Main, Germany. The IAA will be open to the public from September 12 through 22. (Photo by Sean Gallup/Getty Images) Self-driving vehicles reached peak hype a year ago.

This car is all yours, with no one up front," the pop-up notification from the Waymo app reads. "This ride will be different. With no one else in the car, Waymo will do all the driving. Moments later, an empty Chrysler Pacifica minivan appears and navigates its way to my location near a park in Chandler, the Phoenix suburb where Waymo has been testing its autonomous vehicles since 2016. More than a dozen journalists experienced driverless rides in 2017 on a closed course at Waymo's testing facility in Castle; and Steve Mahan, who is legally blind, took a driverless ride in the company's Firefly prototype on Austin's city streets way back in 2015. But this driverless ride is different -- and not just because it involved an unprotected left-hand turn, busy city streets or that the Waymo One app was used to hail the ride.