Dawn Song is a professor of computer science at UC Berkeley with research interests in security, most recently with a focus on the intersection between computer security and machine learning. This conversation is part of the Artificial Intelligence podcast. Full episodes playlist: https://www.youtube.com/playlist?list... Clips playlist: https://www.youtube.com/playlist?list... OUTLINE: 0:00 - Introduction 1:53 - Will software always have security vulnerabilities?

This week, we are excited to announce the launch of the Radiology: AI podcast series. Through this podcast, we will be discussing the science and emerging applications of AI in radiology. The podcasts will consist of interviews with leading figures in AI in radiology, highlights of key published articles in the journal, and discussions with authors of cutting-edge manuscripts. A new episode will be released every 2 months in the first phase. This podcast will serve as a new means of communicating exciting advances in AI in radiology with our readers.

Facial recognition technology has dominated discussions in technology circles for some time now. Faced with increased surveillance in public spaces, it has become imperative for stakeholders to have some input on future deployments of these novel technologies. More importantly, the general public should have some degree of understanding of facial recognition and how it's being used today. Facial recognition is a term used to refer to technologies used to analyze and recognize faces from video recordings and still images. Advancements in image processing and AI have enabled today's computer to read even the subtlest details in the human face like eyelashes to differentiate people.

Perhaps even, the largest tech revolution we've yet to experience especially in the world of finance. Financial services companies require detailed, accurate information to make informed decisions and offer valuable products to their customers. High-quality data helps ensure that financial decisions are made soundly, quickly, and with a reduced amount of risk. Investment in AI is rapidly growing as financial services organizations continue to see the value it offers. At the enterprise level, several trends prevent organizations with new opportunities to disrupt traditional business models.

WEST LAFAYETTE, Ind. -- Just to solve a puzzle or play a game, artificial intelligence can require software running on thousands of computers. That could be the energy that three nuclear plants produce in one hour. A team of engineers has created hardware that can learn skills using a type of AI that currently runs on software platforms. Sharing intelligence features between hardware and software would offset the energy needed for using AI in more advanced applications such as self-driving cars or discovering drugs. "Software is taking on most of the challenges in AI. If you could incorporate intelligence into the circuit components in addition to what is happening in software, you could do things that simply cannot be done today," said Shriram Ramanathan, a professor of materials engineering at Purdue University.

Turning night into day, clearing up fog, and removing cloud cover in image and video sources, in real-time, Digital Harmonic's PurePixel solution will help the Federal mission secure critical areas and communities, enabling our military to make better-informed command and control decisions. Digital Harmonic LLC, a leading image, video, and signal processing technology company, announced today they have chosen to collaborate with Dell Technologies OEM Embedded & Edge Solutions to bring PurePixel, designed on a scalable suite of hardware solutions from edge devices to rack mounted servers, to federal agencies. PurePixel is an upstream pre-processing component to enhance the quality and efficiency of machine learning (ML) and computer vision (CV) algorithms increasing the success of the output for real-time video. PurePixel also improves advanced analytics software with cloud-based ML algorithms for object recognition, object detection, image annotation/labeling, semantic image segmentation analysis, and edge computing capabilities. One of the options for delivering PurePixel to customers is on the Dell EMC PowerEdge C4140 server, which is an ultra-dense, accelerator optimized rack server system purpose-built for artificial intelligence (AI) solutions with a leading GPU-accelerated infrastructure.

The round was led by K1 Investment Management. The company intends to use the funds to build on its growth trajectory, scale operations in North America, and support its tens of thousands of customers and partners. Founded in early 2018 and led by Shir Ekerling, CEO, accessiBe automates the process by which companies and website owners make their content accessible to users with visual, hearing and motor impairments, as well as other functional disabilities. Its AI-based solution scans websites and automatically provides key modifications to transmit data and accessible content to end-users in a manner compliant with international and US disability standards, including Web Content Accessibility Guidelines and the Americans with Disabilities Act. This solves the accessibility needs of thousands of small and medium-sized businesses as well as enterprises, mostly through partnerships with companies like RealPage, BigCommerce, Volusion, WebFX, Digital Ocean and thousands of web and digital agencies who need to provide accessible websites for their clients.

Many great ideas in artificial intelligence languish in textbooks for decades because we don't have the computational power to apply them. That's what happened with neural networks, a technique inspired by our brains' wiring that has recently succeeded in translating languages and driving cars. Now, another old idea--improving neural networks not through teaching, but through evolution--is revealing its potential. Five new papers from Uber in San Francisco, California, demonstrate the power of so-called neuroevolution to play video games, solve mazes, and even make a simulated robot walk. Neuroevolution, a process of mutating and selecting the best neural networks, has previously led to networks that can compose music, control robots, and play the video game Super Mario World.

Just over 306 million Americans are affected by stay-at-home orders, nearly 95% of the U.S. population. COVID-19 will forever change retailing, and its initial impact on e-Commerce is creating challenges to online selling & service no one imagined in January. Mobile devices are the most popular device for online shopping by a wide margin. E-Commerce and online retailers' supply chains, order management, and fulfillment systems are all being tested by the triple-digit order and revenue growth going on today. And best of all, more energy and intensity is being put into improving customer experiences online.

The story started with Wipro. Then I have worked with Deloitte and the R&D division of Verizon. I have worked for EnY as well. I was a curious child. If you ask my parents, they will tell you about all the toys that I have broken.