In the News
AI (Artificial Intelligence) Governance: How To Get It Right
AI introduces unique problems. Training data is often flawed, such as with errors, duplications and even bias. Then there is the issue with model drift. This is when the AI degrades over time because the algorithms and data do not adequately reflect the changes in the real world.
451 Research Report on Orca Security’s Light, Agentless Approach to Cloud Security
Orca’s combination of SaaS delivery, SideScanning technology, and access to cloud configuration APIs provides security visibility and context into different aspects of cloud security with less friction than agent-based approaches.
In The News
AI Is Throwing Battery Development Into Overdrive
In 2019, a team of researchers from Stanford, MIT, and the Toyota Research Institute used AI trained on data generated from these machines to predict the performance of lithium-ion batteries over the lifetime of the cells before their performance had started to slip.
Cory Doctorow: ‘Technologists have failed to listen to non-technologists’
He has worked for the Electronic Frontier Foundation and helped found the Open Rights Group – he is an advocate of liberalising copyright law. If they ever do bury me, as opposed to scattering my ashes in the Haunted Mansion at Disneyland, I want my tombstone to read: “This will all be so great if...
Robot that can perform colonoscopies aims to make it less unpleasant
University of Leeds A robot that can perform colonoscopies may make the procedure simpler and less unpleasant. The probe is a magnetic endoscope, a tube with a camera lens at the tip, that the robot controls via a magnet external to the body.
Applied use cases
New deep learning models require fewer neurons
An international research team from MIT CSAIL, TU Wien (Vienna) and IST Austria has developed a new artificial intelligence system based on the brains of tiny animals, such as threadworms.
Using a TensorFlow Deep Learning Model for Forex Trading
Meta Trader 4: A popular platform for Forex manual and algo trading. Setting up Flask from your console: The full source code setting up the system is on my GitHub page for setting up the server.
Environment and Distribution Shift
In one classic setup, we assume that our training data were sampled from some distribution but that our test data will consist of unlabeled examples drawn from some different distribution .
How to Make AI More Humane
Frank Pasquale helped put algorithmic accountability on the public agenda with his 2015 book, The Black Box Society: The Secret Algorithms That Control Money and Information.
BMW writes code of ethics for AI in collaboration with the EU
Building on the fundamental requirements formulated by the EU for trustworthy AI, the BMW Group has worked out seven basic principles covering the use of AI within the company: Human agency and oversight.
Shrinking the ‘data desert’: Inside efforts to make AI systems more inclusive of people with disabilities
That’s why City, University of London, a Microsoft AI for Accessibility grantee, has launched the Object Recognition for Blind Image Training (ORBIT) research project to create a public dataset from scratch, using videos submitted by people who are blind or have low vision.
30 women in robotics you need to know about – 2020
Keiko Homma Senior Researcher Service Robotics Research Team, Robot Innovation Research Center – AIST Keiko Homma is a senior researcher at AIST in the Assistive Robotics Research Team, Human Augmentation Research Center.
Smart Robots: Out of the Lab, Into the World
In a recent podcast with host Abigail Hing Wen, Pieter said he first became enamored with robots not from popular depictions in the media, but when he thought, “What if I write a piece of code and it beats me in chess?
Researchers built a robot squid that propels itself with a water jet
To help explore underwater environments without damaging coral or sea life, engineers from UC San Diego created a robot squid (via Hackster.io). Soft robots are less likely to harm aquatic life than rigid ones.
Decolonizing AI with Shakir Mohamed
In this special #TWIMLfest edition of the podcast, we’re joined by Shakir Mohamed, a Senior Research Scientist at DeepMind. Shakir is also a leader of Deep Learning Indaba, a non-profit organization whose mission is to Strengthen African Machine Learning and Artificial Intelligence.
Reinforcement learning is supervised learning on optimized data
The table below compares the supervised learning perspective to the optimization and dynamic programming perspectives: Data used in loss collected from current policy arbitrary optimized data
Heroes of NLP
Heroes of NLP is a video interview series featuring Andrew Ng, the founder of DeepLearning.AI, in conversation with thought leaders in NLP.