In the News
Hundreds of AI tools have been built to catch covid. None of them helped.
This team zoomed in on deep-learning models for diagnosing covid and predicting patient risk from medical images, such as chest x-rays and chest computer tomography (CT) scans. Because patients scanned while lying down were more likely to be seriously ill, the AI learned wrongly to predict serious...
Sponsor
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In The News
Is DeepMind’s new reinforcement learning system a step toward general AI?
The new system, according to DeepMind’s AI researchers, is an “important step toward creating more general agents with the flexibility to adapt rapidly within constantly changing environments.” The paper’s findings show some impressive advances in applying reinforcement learning to complicated...
Latest Trends in Artificial Intelligence
Intelligent Process Automation In the latest technology trend, organizations are looking for intelligent automation tools to solve business challenges and increase productivity, efficiency, and accuracy, benefiting the organization. One of the successive waves, Intelligent Process Automation, or...
Applied use cases
National Research Cloud
A National Research Cloud (NRC) would provide academic and non-profit researchers with the compute power and government datasets needed for education and research. On January 1, 2021, the U.S. Congress authorized the National AI Research Resource Task Force Act as part of the National Defense...
How to build an AI unicorn in 6 years
Today, Tractable is worth $1 billion. Our AI is used by millions of people across America, Asia and Europe to recover faster from road accidents. It helps recycle as many cars as Tesla put on the road in 2019.
Educating young people in AI, machine learning, and data science: new seminar series
A recent Forbes article reported that over the last four years, the use of artificial intelligence (AI) tools in many business sectors has grown by 270%. Recent advances in computing technology have accelerated the rate at which AI and data science tools are coming to be used.
Ethics
Everyone in Your Organization Needs to Understand AI Ethics
When most organizations think about AI ethics, they often overlook some of the sources of greatest risk: procurement officers, senior leaders who lack the expertise to vet ethical risk in AI projects, and data scientists and engineers who don’t understand the...
Here Come the Robot Nurses
In the last couple of years, the sale of professional service robots has increased by 32 percent ($11.2 billion) worldwide; the sale of assistance robots for the elderly increased by 17 percent ($91 million) between 2018 and 2019 alone. The future of work continues to be an “essential,” low-wage...
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems Eli Lucherini Princeton University Princeton, NJ, USA [email protected] Matthew Sun Princeton University Princeton, NJ, USA [email protected] Amy Winecoff Princeton University Princeton, NJ, USA...
Robotics
They’re programmed to work hard and play hard
A great example is “The Business of AI” course, which I co-teach in the Haas Business School at Berkeley, and which gives business students a solid understanding of the role of AI today, as well as trends and what the future might bring. I see a very strong synergy between being at the forefront of...
Corvus Robotics’ Autonomous Drones Tackle Warehouses
Corvus' solution involves autonomous drones that can fly unattended for weeks on end, collecting inventory data without any human intervention at all. As it turns out, autonomous drones can scan up to ten times faster than humans—Corvus Robotics' drones are able to inventory an entire warehouse on a...
r/Robotics showcase
The first Reddit Robotics Showcase will take place online this weekend (31st July – 1 August). across four different categories: simulation, mobile robots, manipulation, and legged robots. The showcase will be livestreamed via the Reddit Robotics Showcase YouTube channel, and you will be able to...
Research
Introducing CLIP: A Dataset to Improve Continuity of Patient Care with Unsupervised NLP
Our dataset, which we call CLIP, for CLInical Follow-uP, makes the task of action item extraction tractable, by enabling us to train machine learning models to select the sentences in a document that contain action items. By leveraging modern methods in unsupervised NLP, we can automatically...
How I failed machine learning in medical imaging - shortcomings and recommendations
Ii It’s not all about larger datasets The availability of large labeled datasets has enabled solving difficult artificial intelligence problems, such as natural scene understanding in computer vision (Russakovsky et al., 2015). As a result, there is widespread hope that similar progress will happen...
Introducing droidlet, a one-stop shop for modularly building intelligent agents
Droidlet is a modular, heterogeneous embodied agent architecture, and a platform for building embodied agents, that sits at the intersection of natural language processing, computer vision, and robotics.