In the News
10 Ways Enterprises Are Getting Results From AI Strategies
One in 10 enterprises now use 10 or more AI applications; chatbots, process optimization, and fraud analysis lead a recent survey's top use cases according to MMC Ventures.
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In The News
Working from home, with robots
As an engineer at Boston Dynamics, Seifert’s job is to upgrade the company’s star robot, the four-legged Spot. Since the firm began leasing Spot to customers , it’s been deployed on construction sites, factory floors, and off-shore oil rigs.
Is artificial intelligence changing art?
Technology is permeating every part of human life, including art, but what does that mean?
Neil deGrasse Tyson and Sophia the Robot Explore COVID-19 and Artificial Intelligence
To explore that subject fully, Neil deGrasse Tyson and comic co-host Chuck Nice sit down with a very special guest: @Sophia the Robot. We explore how artificial intelligence can help predict the spread of viruses and evaluate public health measures.
Applied use cases
Synthesizing High-Resolution Images with StyleGAN2
Over the years, NVIDIA researchers have contributed several breakthroughs to GANs. The work builds on the team’s previously published StyleGAN project.
Machine-learning clusters in Azure hijacked to mine cryptocurrency
The infected clusters were running Kubeflow, an open source framework for machine-learning applications in Kubernetes, which is itself an open source platform for deploying scalable applications across large numbers of computers.
Reinforcement Learning Specialization
The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).
Ethics
AI Is Amazing But Complicated, And We Don’t Necessarily Need To Plunge In Headfirst
Such conversations tend to revolve around AI fairness, intended use, potential misuse, privacy pushback, worker displacement and product accuracy. The rise of AI also creates accuracy, privacy and worker displacement concerns.
Researchers propose framework to measure AI’s social and environmental impact
In a newly published paper on the preprint server Arxiv.org, researchers at the Montreal AI Ethics Institute, McGill University, Carnegie Mellon, and Microsoft propose a four-pillar framework called SECure designed to quantify the environmental and social impact of AI.
Inioluwa Deborah Raji
The spark that sent Inioluwa Deborah Raji down a path of artificial-intelligence research came from a firsthand realization that she remembers as “horrible.” Raji was interning at the machine--learning startup Clarifai after her third year of college, working on a computer vision model that would...
Robotics
Case Study: Misty II, an Open-Platform Robot, Helps Developers to Shape the Future of Robotics
Misty II utilizes Qualcomm Robotics solutions to provide open-platform robot which will be capable to do tasks in education, eldercare and COVID-19 transmission prevention.
You can buy Boston Dynamics' Spot robot (if you have $75,000)
We’ve seen Boston Dynamics’ four-legged robotic dog Spot help triage patients with COVID-19, pull a rickshaw, hold the door for a fellow bot, haul a box truck, herd sheep and more. Businesses in the United States can now buy their very own Spot robots.
Veo Robotics’ FreeMove Turns Any Industrial Robot Arm Into a Collaborative Robot
Organization: Veo Robotics Inc. Country: United States State: MA Website: www.veobot.com Year Founded: 2016 Number of Employees: 50 Innovation Class: Technology & Services Innovation Innovation
Research
Image GPT
As a consequence, we require significantly more compute in order to produce features competitive with those from top unsupervised convolutional nets.
AI Research, Replicability and Incentives
New arXiv papers on Mondays over the past few years… pic.twitter.com/I0lA3PrSUt — Denny Britz (@dennybritz) May 19, 2020 Deep Learning has produced some amazing results in Image Recognition, NLP, generative models, games, and more.
Learning local and compositional representations for zero-shot learning
Considering how to apply these notions in practice to improve zero-shot learning performance, we also introduce Class-Matching DIM (CMDIM), a variant of the popular unsupervised learning algorithm Deep InfoMax, which results in very strong performance compared to a wide range of baselines.
Natural Language Processing Specialization
By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots.
Facebook Research at CVPR 2020
At this year’s CVPR conference, Facebook AI is pushing the state of the art forward in many important areas of CV, including core segmentation tasks, architecture search, transfer learning, and multimodal learning.