In the News
Can AI Make a Better Fusion Reactor?
Ferreira recently collaborated with colleagues working on the Joint European Torus (JET) in the UK in a study that detailed three different uses for AI, machine learning, and deep learning models for fusion research. Scientists could use this process to better understand what ultimately leads to...
Sponsor
100+ speakers, 60+ sessions, 20,000+ attendees.
Announcing TransformX Conference: Driving AI from Experimentation to Reality. Join Scale AI for our two-day, virtual conference. We’re bringing together a community of leaders, visionaries, practitioners, and researchers across industries as we explore the shift from research to reality within AI and Machine Learning.
In The News
Watch out, GPT-3, here comes AI21's 'Jurassic' language model
By optimizing the trade-off of depth and width, and expanding the vocabulary of the program, Tel Aviv startup AI21 aims for comparable or better results but with more open access for developers.
Top 10 Packt Machine Learning Books to Read in 2021 by Packt
Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more MLOps is a systematic...
Applied use cases
IoT gets a machine learning boost, from edge to cloud
This reference project will serve you as a guide for quickly getting started with Edge Impulse on Raspberry Pi 4 and Azure IoT, to train a model that detects lug nuts on a wheel and sends alerts to the cloud. Simply run the next three commands to set up the NodeJS environment and everything else...
Learning to Generate Radiance Fields of Indoor Scenes
In particular, we introduce Generative Scene Networks (GSN), models that are capable of learning a probability distribution over realistic and unconstrained indoor scenes. We follow an adversarial learning paradigm and represent scenes using radiance fields, jointly models geometry and appearance,...
The great misunderstanding at the core of facial recognition
In the last five years, facial recognition has become a battleground for the future of artificial intelligence (AI). This controversial technology encapsulates public fears about inescapable surveillance, algorithmic bias, and dystopian AI.
Ethics
Deleting unethical data sets isn’t good enough
In 2016, hoping to spur advancements in facial recognition, Microsoft released the largest face database in the world. Shortly after Harvey and LaPlace’s investigation, and after receiving criticism from journalists, Microsoft removed the data set, stating simply: “The research challenge is over.”...
11 Short Videos About AI Ethics
Machine Learning Edition: Through 3 key case studies, I cover how people can be harmed by machine learning gone wrong, why we as machine learning practitioners should care, and what tech ethics are. It is crucial that all machine learning systems are implemented with ways to correctly surface and...
Human Dimension Essay - A beautiful glitch: for a green and blue human future
The crucial factors in this momentous revolution include the enormous and increasingly affordable power of computers, increasingly pervasive connectivity, colossal quantities of data that keep growing and, finally, ever more effective artificial intelligence (AI).
Robotics
Atlas Shows Most Impressive Parkour Skills We've Ever Seen
Boston Dynamics has just posted a couple of new videos showing their Atlas humanoid robot doing some of the most impressive parkour we've yet seen. In this video our humanoid robots demonstrate their whole-body athletics, maintaining its balance through a variety of rapidly changing, high-energy...
Robocar Race Day and Fiesta Saturday Aug 14
We’re […] At Toyota Research Institute (TRI), we’re working to build a future where everyone can benefit from robot-assisted amplification, from reducing vehicle collisions to home assistance. We’re dedicated to building a world of “mobility for […] At Toyota Research Institute (TRI), we’re working...
FEEL-COG: The Role of Affect in the Development of Cognition
Below follows the finalized program of the workshop: Welcome by the organizers (5 min) Keynote Talk - Joost Broekens: Affect, Emotion and Reinforcement Learning (30 + 10 min Q&A) Presentations of short papers/extended abstracts (25 min) Fabiola Diana, Ruud Hortensius & Mariska Kret: Honesty in the...
Research
Engineering Lead – Machine Learning
You will work in collaboration with the CTO, DevOps, and some of our cross-functional teams to bring ML systems to production and guide the work of our Data Scientists and Engineers. Design and implement end-to-end ML solutions and optimize existing models Setup and continuously enhance ML software...
Implementing own top-down VAE
In a beautiful blog post (Huszar, 2017), Ferenc Huszar outlines why learning a latent variable model by maximizing the likelihood function is not necessarily useful from the representation learning perspective. Some ideas formulate a constrained optimization problem (Phuong et al., 2018; Rezende &...
Reflecting on DeepMind’s AlphaFold artificial intelligence success – what’s the real significance for protein folding research and drug discovery?
In a long read, Professor Paul Workman, Chief Executive and President of the ICR, and also a drug discovery scientist, reflects on the significance of the latest version of AlphaFold – a powerful AI system that has been applied to predict structures for almost 99% of human proteins – for fundamental...