In the News
U.S. officials order Nvidia to halt sales of top AI chips to China
Chip designer Nvidia Corp (NVDA.O) said on Wednesday that U.S. officials told it to stop exporting two top computing chips for AI work to China, a move that could cripple Chinese firms' ability to carry out advanced work like image recognition and hamper Nvidia's business in the country.
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In The News
McKinsey report: Two AI trends top 2022 outlook
McKinsey’s newly-released Technology Trends Outlook 2022 named applied AI and industrializing machine learning as two of 14 of the most significant technology trends unfolding today.
This Mighty Brain Chip Is So Efficient It Could Bring Advanced AI to Your Phone
Most CIM chips running AI algorithms have solely focused on chip design, showcasing their capabilities using simulations of the chip rather than running tasks on full-fledged hardware. The resulting NeuRRAM chip is a powerful neuromorphic computing behemoth with 48 parallel cores and 3 million...
Mobile photo editing app creator Lightricks launches text-to-image generator
Mobile photo editing app creator Lightricks is hopping on the AI-generated art bandwagon with its new “Text to Image” generator within its apps, including Photoleap, which is known for its photo editing capabilities, and Motionleap, an app that can animate a still photo to make it look like it’s in...
Applied use cases
France reveals hidden swimming pools with AI, taxes them
Enlarge Getty Images Using an AI computer vision system developed by French IT firm Capgemini, the French tax office (often called "Le Fisc") has identified 20,356 residential swimming pools that had previously gone undeclared.
Canadian researchers using machine learning to mitigate effects of climate change
Applications for machine learning in climate research include climate forecasting and optimization of electricity, transportation and energy systems, according to the 2019 report.
Artificial Intelligence and Deep Learning Models Will Be Used to Protect the Great Barrier Reef
Researchers will now use the power of technologies to monitor and help protect the Great Barrier Reef. Following the photographs taken by citizen scientists, Artificial Intelligence (AI) and deep learning will be used.
AI Creating 'Art' Is An Ethical And Copyright Nightmare
AI’s ability to create art has exploded onto the scene over the last few months, and while this has been great news for shitposts and fans of tech, it has also raised a number of important questions and concerns.
Human-level AI is a giant risk. Why are we entrusting its development to tech CEOs?
Tech CEOs are trying to create “Human-level AI.” Here’s what that means, and why we should fear it
Moral status of artificial intelligence
My main goal in this paper is to conduct a detailed analysis of the moral status of artificial intelligence. I will start by clarifying the notion of moral status, as well as the dichotomy between moral agent and moral patient, which plays a significant role in a vast number of perplexing dilemmas in applied ethics.
Gendering robots is a cognitive shortcut that can lead to short circuits
Nursing assistant, Moxi projects a guileless and friendly demeanour as it glides down hospital corridors delivering medical supplies and fresh linen or dropping off samples to the lab.
2022 Conference on Robot Learning
The Conference on Robot Learning (CoRL) is an annual international conference focusing on the intersection of robotics and machine learning.
Conference : Bots & Beer at TRI
We're going to continue the online Bots&Beers so you can meet robots from all over the world, and there'll be more events locally too.
Yann LeCun: A Path Towards Autonomous Machine Intelligence
This paper can more or less be summed into one simple question; “How could machines learn as efficiently as humans and animals?”. Not a simple question to answer and perhaps why this paper serves simply as a proposal to future directions of study rather than a conventional technical paper that shares novel research.
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
While prior methods typically decouple the two jobs with separate models, deep learning, provides us with a general and simple baseline: combine an off-the-shelf RL algorithm with a recurrent neural network (RNN; e.g., LSTM (Hochreiter & Schmidhuber, 1997) and GRU (Chung et al., 2014)). By...
[R] Deep Learning with a Small Training Batch (or Lack Thereof). Part 1
SimCLR learning process The authors tested numerous augmentations, as shown below. SimCLRv2 with a teacher network, which is trained on unmarked data using the initial SimCLR pattern, and a more compact student network, trained on the markup provided by the first model. The Brain Team at Google...