In the News
What Can AI Learn from Human Intelligence?
Can we teach robots to generalize their learning? How can algorithms become more commonsensical? Can a child’s learning style influence AI? At HAI's fall conference, scholars discussed novel ways AI can learn from human intelligence - and vice versa.
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In The News
Artificial Intelligence Shows Potential to Gauge Voter Sentiment
Its AI system, trained partly on past elections, analyzed factors such as tone and emotion and projected how that might translate into votes. Expert.ai’s system projected that Democratic presidential nominee Joe Biden would win 50.2% of the popular vote and Republican President Donald Trump would...
The US Government Will Pay Doctors to Use These AI Algorithms
The artificial intelligence programs can diagnose eye disease in diabetics and complications in stroke patients. The agency has also said it will soon pay for software called IDx-DR, which analyzes photos of a person’s retinas to diagnose diabetic retinopathy, a complication of diabetes that can...
Applied use cases
Nokia brings ‘AI to the edge’ for an enhanced 5G experience
The automated wizardry is achieved by deploying AI at the edge, close to the customer. Nokia says AVA QoE at the Edge brings “code to where the data is.”
Deploying reinforcement learning in production using Ray and Amazon SageMaker
Reinforcement learning (RL) is used to automate decision-making in a variety of domains, including games, autoscaling, finance, robotics, recommendations, and supply chain. Launched at AWS re:Invent 2018, Amazon SageMaker RL helps you quickly build, train, and deploy policies learned by RL.
Algorithmia announces Insights for ML model performance monitoring
Organisations have specific needs when it comes to ML model monitoring and reporting. Algorithmia Insights helps users overcome these issues while making it easier to monitor model performance in the context of other operational metrics and variables.
Ethical Frameworks for AI Aren’t Enough
Many organizations have adopted a set of high-level principles to ensure that their AI makes decisions in an ethical fashion and causes no harm. Applying the principles of ethical AI to real-world deployment environments requires significant time and resources that span legal, data science, and risk...
AI Ethics #30: Unintended memorization in neural networks, AI ethics in East Asia, and AI in clinical care
This week’s overview Research summaries: The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Perspectives and Approaches in AI Ethics: East Asia Repairing Innovation – A Study of Integrating AI in Clinical Care Article summaries: Big tech and free speech: Social...
Pope urges Catholics to pray that AI does not widen inequality
Pope Francis has urged Catholics to pray that artificial intelligence (AI) does not rebel against humankind. The pontiff, who made the appeal in his prayer intention for November, warned against rising inequality that could result from advanced robotics, and instead called for AI to work for...
Using social robots to improve children's language skills
To explore the value of social robots in education, researchers at the Norwegian Computing Center recently tried to use them to teach Norwegian to immigrant children residing in the Grorud district in Oslo.
Report: Hyundai in talks to acquire Boston Dynamics
According to Bloomberg, Hyundai Motor is in talks to acquire Boston Dynamics from SoftBank Group. In April 2019, Boston Dynamics acquired Kinema Systems, a Menlo Park, Calif.-based startup that used vision sensors and deep learning to help robots manipulate boxes.
See an elephant-inspired robotic gripper pick up a single grape like a pro
Elephants have amazing trunks. They can pick up small sticks and giant logs with dexterity and ease. That same curling design inspired researchers at the University of New South Wales in Sydney to create a robotic gripper that can grasp everything from a syringe to a hammer.
Novel Computer Vision Research Papers From 2020
If you’d like to skip around, here are the papers we featured: EfficientDet: Scalable and Efficient Object Detection 3D Photography using Context-aware Layered Depth Inpainting Adversarial Latent Autoencoders On Learning Sets of Symmetric Elements Tuning-free Plug-and-Play Proximal Algorithm for...
Breaking down global barriers to access
This week, we welcomed our biggest and most geographically diverse cohort of DeepMind scholars yet. We established our scholarship programme in 2017 in an effort to help build a stronger and more inclusive AI community, who can bring a wider range of experiences to the fields of AI and computer...
Pioneering the future of HPC and AI with groundbreaking accelerated computing
High-density computing for data-driven innovation Accelerated computing provides superior performance at scale, with faster, more reliable processing power to optimize the most demanding HPC and AI workloads.