If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Autonomous vehicle development is a time and resource-intensive business, requiring dozens of test vehicles, thousands of hours of data collection and millions of miles of driving to hone the artificial brains of the cars of tomorrow. What if you could do most of that in the cloud? That's the question Nvidia hopes to answer with the release of its Nvidia Drive Constellation testing platform for self-driving cars. The announcement came during the keynote address at Nvidia's 2019 GPU Technology Conference in San Jose Monday. Drive Constellation is, basically, a simulation and validation platform that allows automakers and developers to test their autonomous vehicles and technologies in a virtual environment that lives in a specially-designed cloud server.
With any change comes the fear of the unknown, but this is especially true when it comes to artificial intelligence. Universities today have so much to gain by leveraging AI across the student lifecycle, but many are hesitant. Taking a step back, this somewhat nebulous concept of AI is already taking root in our everyday lives in so many forms. Today, you can wake up with a reminder and a playlist of your favorite motivational morning music via a voice-activated assistant, then get traffic advice on your way to work from a maps app. A quick tap on a suggestion based on previous purchases, and your favorite variety of coffee is waiting at your favorite store, already paid for in-app.
The dataset contains 367,888 face annotations for 8,277 subjects divided into 3 batches. We provide human curated bounding boxes for faces. We also provide the estimated pose (yaw, pitch, and roll), locations of twenty-one keypoints, and gender information generated by a pre-trained neural network. In addition, we also release a new face verification test protocol based on batch 3. Part 2 - Video Frames The second part contains 3,735,476 annotated video frames extracted from a total of 22,075 for 3,107 subjects. Again, we also provide the estimated pose (yaw, pitch, and roll), locations of twenty-one keypoints, and gender information generated by a pre-trained neural network.
The age of artificial intelligence (AI) has arrived, and is transforming everything from healthcare to transportation to manufacturing. America has long been the global leader in this new era of AI, and is poised to maintain this leadership going forward. Realizing the full potential of AI for the Nation requires the combined efforts of industry, academia, and government. The Administration has been active in developing policies and implementing strategies that accelerate AI innovation in the U.S. for the benefit of the American people. These activities align with four main pillars of emphasis: AI for American Innovation, AI for American Industry, AI for the American Worker, and AI with American Values.
DeepMind's Research Platform Team has open-sourced TF-Replicator, a framework that enables researchers without previous experience with the distributed system to deploy their TensorFlow models on GPUs and Cloud TPUs. The move aims to strengthen AI research and development. Synced invited Yuan Tang, a senior software engineer at Ant Financial, to share his thoughts on TF-Replicator. How would you describe TF-Replicator? TF-Replicator is a framework to simplify the writing of distributed TensorFlow code for training machine learning models, so that they can be effortlessly deployed to different cluster architectures.
India has two contrast images when it comes to the healthcare sector. While one faction is able to avail the advancement of technologies in the healthcare space, another faction can at the most only avail the basic healthcare treatments. But this spectrum is altering now. Starting from making the basic healthcare services available to the needy, several innovative technologies are disrupting the space and taking them to an altogether different standard. The private healthcare sector in close association with startups has been seeing the innovation that has amazed everyone and spend the industry up.
Antoine Bruel, head of growth at Braincities and Céline Pluijm, key account manager at Wiidii share their thoughts on why France is fast-becoming a leader in establishing'AI for humanity', fresh from Hello Tomorrow… Artificial Intelligence (AI) is everywhere. Across industry verticals, it's being used to enable businesses and organisations to work smarter and faster than ever before. From automating repetitive transactions and manual tasks to powering customer support platforms, AI is transforming the way we work, live and interact with the world. According to PwC research, AI is estimated to provide $15.7 trillion in economic growth by 2030, creating opportunities for innovation on a global scale. AI, however, is as much a source of fascination as it is a cause for concern.
People should brace themselves for the proliferation of artificial intelligence as it will change the way we live within three decades, SoftBank CEO Masayoshi Son told CNBC. "Within 30 years, definitely, things will be flying," Son told CNBC's David Faber in an interview that aired Friday. "Things will be running much faster without accident. We will be living much longer, much healthier. The diseases that we could not solve in the past will be cured."
Old-fashioned voice, thanks to AI, is poised to become the next human computing interface. Unless you've been living under a rock, you know that artificial intelligence is a big business trend right now. Corporate America is agog at the possibility of using AI to better extract and analyze data on everything from insurance claims to X-rays to the contents of your smart refrigerator (so you can buy more milk before you run out). But lost in the headlines is the fact that AI, in some form, has actually been around for decades. And many of the hot AI applications being trumpeted in the press today aren't really that advanced.
That is, if you were fortunate enough to get an invite. While last year's invite-only conference, held in southern California's Palm Springs, produced striking images of Bezos strolling with a robotic dog designed by Boston Dynamics, the CEO this time took to the stage with a flying robo-dragonfly. Much of this year's buzz, however, has come straight from the stars; among the attendees is actor Mark Hamill, who portrayed'Star Wars' protagonists'Luke Skywalker' in the films' original trilogy. Bezos demonstrated a robotic dragon fly on stage that circled around his head. As Hamill, who recently revived Skywalker for the latest iteration of the Star Wars franchise, mingled with guests, the conference's other attendees showcased their newest and most exciting revelations in the fields of robotics, artificial intelligence, machine learning, and more.