Mark Zuckerberg thinks tech companies, including Facebook, have “immense responsibilities.” Acknowledging the problems related to social media, he stressed that tech companies can’t solve all those problems on their own. Instead, he opined, the government and regulators need to play a stronger role. “By updating the rules for the Internet,” he said, “We can preserve what’s best about it.” He focused on four areas that he said should be regulated: harmful content, election integrity, privacy and data portability. Continue reading Facebook CEO Calls For Increased Government Regulation

Pandora plans to test new interactive advertising technology that would allow listeners to engage directly with its “voice ads” by speaking aloud. Pandora listeners could request additional information about a product or service being promoted, for example, or request skipping the ad altogether. The beta test, powered by ad-tech firm Instreamatic, is expected to launch later this year. Instreamatic provides an interactive ad platform built on its Voice AI Core to help brands and marketers “manage, measure and monetize voice-enabled audio advertising.” Continue reading Pandora Believes Listeners Will Interact with Its Voice Ads

The Association for Computing Machinery (ACM) honored three artificial intelligence pioneers with the prestigious Turing Award for their work on neural networks. The Turing Award, often dubbed the Nobel Prize of computing, was launched in 1966 and includes a $1 million prize that the three honorees will share. Doctors Geoffrey Hinton, Yann LeCun and Yoshua Bengio helped lay the foundation for the evolution of technologies including facial recognition, digital assistants and self-driving vehicles. Continue reading AI Pioneers Are Honored with the Prestigious Turing Award

Google is forming the Advanced Technology External Advisory Council (ATEAC), an external eight-member advisory group to “consider some of the most complex challenges [in AI],” such as facial recognition and fairness. The move comes about a year after Google issued a charter stating its AI principles, and months after Google said it would not provide “general-purpose facial recognition APIs” before the ATEAC addresses relevant policy issues. The advisory group will hold four meetings in 2019, starting in April. Continue reading Google Establishes Advisory Panel to Examine AI Fairness

Amazon is teaming up with the National Science Foundation (NSF), pledging up to $10 million in research grants over the next three years to further fairness in artificial intelligence and machine learning. More specifically, the grants will target “explainability” as well as potential negative biases and effects, mitigation strategies for such effects, validation of fairness and inclusivity. The goal is to encourage “broadened acceptance” of AI, thus enabling the U.S. to make better progress on the technology’s evolution. Continue reading Amazon, National Science Foundation to Further AI Fairness

A report from market research firm ETR revealed Amazon and Microsoft as dominant in the enterprise information-technology market due to their early start in cloud computing. Over 800 chief information officers and high-level corporate executives ranked more than half of the top 30 products and services as those from the two tech giants. Those products included artificial intelligence, cloud infrastructure and software, data analytics, and robotic process automation as well as “other emerging digital tools.” Continue reading Cloud Pioneers Amazon, Microsoft Dominate Enterprise IT

Nvidia made a number of compelling announcements at this week’s GPU Technology Conference (GTC 2019) in San Jose, California. The company unveiled its GauGAN AI image creator that uses generative adversarial networks (GANs) to turn sketches into nearly photorealistic images. As part of its cloud pursuits, the company unveiled its latest RTX server configuration that is designed for Hollywood studios and those who want to create visual content quickly (each server pod can support up to 1,280 GPUs). Nvidia also announced partnerships with 3D software makers including Adobe, Autodesk and Unity to integrate Nvidia’s RTX ray-tracing platform. Continue reading Nvidia Demos New Products at Deep Learning & AI Confab

The Computing Community Consortium (CCC) released a draft of its 20-year roadmap for AI research in the U.S., with numerous proposed steps and a call for ongoing support from the federal government to maintain dominance. The roadmap was the work of companies and researchers who held workshops in fall 2018 and in early 2019. USC director of knowledge technologies Yolanda Gil and Stanford University professor Dr. Fei-Fei Li were two of the roadmap organizers. Last month, President Trump signed the American AI Initiative. Continue reading Industry Roadmap Outlines Path to Continued AI Dominance

The U.K. government released a 150-page report stressing that the country needs to update its antitrust policies to deal with big technology companies. The report, which was ordered by the U.K.’s top treasury official, Exchequer chancellor Philip Hammond, states that the U.K. should implement tighter rules on acquisition in the tech sector to make it easier for new competitors to arise. The European Union and U.S. presidential hopefuls Senator Elizabeth Warren and Senator Amy Klobuchar have expressed similar points of view. Continue reading U.K. Considers Big Tech Regulation in Preparation for Brexit

Microsoft debuted its AI Business School, offering instructional videos and case studies to help business executives create and implement AI within their companies. The school, which is similar to such guides as Andrew Ng’s AI Transformation Playbook, grew out of three years of conversations with customers already implementing AI, as well as the company’s own experiences. Microsoft vice president of AI marketing and productization Mitra Azizirad said the guide will focus on strategy, culture, technology basics and AI ethics. Continue reading Microsoft Opens an AI Business School For Non-Tech Execs

Facebook AI Research, the Lorraine Research Laboratory in Computer Science and its Applications (LORIA), and University College London recently conducted a study to determine if AI can navigate a fantasy text-based game, dubbed “LIGHT.” To examine the AI agents’ comprehension of the virtual world, the study investigated the so-called grounding dialogue, comprised of mutual knowledge, beliefs and assumptions allowing communication between two people. The large-scale, crowdsourced “LIGHT” environment allows AI and humans to interact. Continue reading Study’s Fantasy Text-Based Game Tests AI Agents’ Abilities

Google has unveiled GPipe, an open-sourced library that makes training deep neural networks more efficient under the TensorFlow framework Lingvo for sequence modeling. According to Google AI software engineer Yanping Huang, “in GPipe … we demonstrate the use of pipeline parallelism to scale up DNN training,” noting that larger DNN models “lead to better task performance.” Huang and his colleagues published a paper on “Efficient Training of Giant Neural Networks Using Pipeline Parallelism.” Continue reading Google GPipe Library Speeds Deep Neural Network Training

Neuroscientist and Intel’s chief technology officer of AI Amir Khosrowshahi revealed that he is remaining at Intel with a team of researchers building an innovative integrated circuit (IC). The IC under development will feature transistors that will, hope the researchers, function at voltages as low as 100 millivolts, a step towards matching voltage of communication in the brain. The existence of such an IC would unleash power-hungry AI applications targeting climate change, waste management and other global problems. Continue reading Intel Team Focuses on Low Voltage Transistor to Power AI

CBS has partnered with New York startup Canvs to use its AI-powered tool Canvs Surveys that automates the coding of natural language responses. CBS began using it in Q4 2018. The broadcaster has now expanded its use to process natural-language feedback to all its major events, including Super Bowl LIII and the Grammy Awards, as well as its entire slate of programming. CBS chief research/analytics officer Radha Subramanyam said the AI system processes the data far more efficiently than humans. Continue reading CBS Turns to AI-Powered Tool for Parsing Viewer Feedback

Google unveiled the Deep Planning Network (PlaNet) agent, created in collaboration with DeepMind, to provide reinforcement learning via images. Reinforcement learning uses rewards to improve AI agents’ decision-making. Whereas model-free techniques work by getting agents to predict actions from observations, agents created with model-based reinforcement learning come up with a general model of the environment leveraged for decision-making. In unfamiliar surroundings, however, agents must create rules from experience. Continue reading Google Debuts Deep Planning Network Agent with DeepMind