ΑΙhub.org
timeline
2020 September
ECAI plenary talk: Carme Torras on assistive AI
September 30, 2020
Using machine learning to speed bioscaffold development
September 29, 2020
Radical AI podcast: featuring Veena Dubal
September 28, 2020
EU challenges for an AI human-centric approach: lessons learnt from ECAI 2020
September 25, 2020
Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award
September 24, 2020
Archaeological search engine adds a new dimension to ‘digging’
September 23, 2020
Exploring exploration: comparing children with RL agents in unified environments
September 22, 2020
Radical AI podcast: featuring John C Havens
September 21, 2020
Topics in data analysis
September 18, 2020
A round-up of topology-based papers at ICML 2020
September 17, 2020
AI shows how hydrogen becomes a metal inside giant planets
September 16, 2020
Book review: Building the new economy
September 15, 2020
Can RL from pixels be as efficient as RL from state?
September 14, 2020
Radical AI podcast: featuring Mary L Gray
September 11, 2020
The role of computer vision in autonomous vehicles
September 10, 2020
Putting nanoscale interactions under the microscope
September 9, 2020
High-frequency component helps explain the generalization of convolutional neural networks
September 8, 2020
European Commission AI white paper: feedback gathered by the Knowledge Centre Data & Society
September 7, 2020
fast.ai release new courses and more
September 4, 2020
Rethinking benchmark systems for machine learning
September 3, 2020
Hot papers on arXiv from the past month – August 2020
September 2, 2020
Decentralized reinforcement learning: global decision-making via local economic transactions
September 1, 2020
2020 August
Neural network method for enhancing electron microscope images
August 28, 2020
New AI research institutes announced in USA
August 27, 2020
GPT-3 in tweets
August 26, 2020
Radical AI podcast: featuring Beth Singler
August 25, 2020
New algorithm follows human intuition to make visual captioning more grounded
August 24, 2020
A How-To: reflections on planning virtual science conferences
August 21, 2020
Interview with Haggai Maron – #ICML2020 award winner
August 20, 2020
Radical AI podcast: featuring Emily Bender
August 19, 2020
Career advisor systems
August 18, 2020
D4RL: building better benchmarks for offline reinforcement learning
August 17, 2020
Engineering Out Loud: S9E7 – The age of autonomous vehicles
August 14, 2020
Radical AI podcast: featuring Deb Raji
August 12, 2020
Maintaining the illusion of reality: transfer in RL by keeping agents in the DARC
August 10, 2020
#ICML2020 invited talk: Iordanis Kerenidis – “Quantum machine learning : prospects and challenges”
August 7, 2020
Radical AI podcast: featuring Timnit Gebru
August 6, 2020
Simultaneous clustering and representation learning
August 5, 2020
Open compound domain adaptation
August 4, 2020
Hot papers on arXiv from the past month – July 2020
August 3, 2020
2020 July
#ICML2020 invited talk: Brenna Argall – “Human and machine learning for assistive autonomy”
July 31, 2020
Radical AI podcast: featuring Eun Seo Jo
July 30, 2020
“I have a joke…”
July 29, 2020
#ICML2020 invited talk: Lester Mackey – “Doing some good with machine learning”
July 28, 2020
In defense of weight-sharing for neural architecture search: an optimization perspective
July 27, 2020
Using data for the public good: the roles of clear governance, good data and trustworthy institutions
July 24, 2020
AIhub coffee corner: The future of conferences
July 23, 2020
Interview with Marc Habermann – #CVPR2020 award winner
July 22, 2020
Radical AI podcast: featuring Abeba Birhane
July 21, 2020
OmniTact: a multi-directional high-resolution touch sensor
July 20, 2020
#ICML2020 – the conference in tweets
July 17, 2020
AI in tweets: June 2020
July 16, 2020
Congratulations to the #ICML2020 outstanding paper award winners
July 15, 2020
Tutorial on fairness, accountability, transparency and ethics in computer vision
July 14, 2020
ICML 2020 Test of Time award
July 13, 2020
Getting data right: governance for people and society
July 9, 2020
Radical AI podcast: featuring Lilly Irani
July 8, 2020
Energy-saving designs for data-intensive computer processing
July 6, 2020
Virtual humanoid RoboCup workshops
July 3, 2020
Hot papers on arXiv from the past month – June 2020
July 2, 2020
ACM statement on facial recognition technology
July 1, 2020
2020 June
The ingredients of real world robotic reinforcement learning
June 30, 2020
Learning for dynamics and control conference
June 29, 2020
Usage of speaker embeddings for more inclusive speech-to-text
June 26, 2020
Radical AI podcast: featuring Ruha Benjamin
June 25, 2020
Learning to explore using active neural SLAM
June 24, 2020
Context-aware sentence retrieval method reduces ‘communication gap’ for nonverbal people
June 23, 2020
ICRA workshops on robotics and learning
June 22, 2020
CLAIRE endorses EU plan for AI and makes 10 key recommendations
June 19, 2020
Can machine learning learn new physics?
June 18, 2020
Contact tracing using anonymized mobile data
June 17, 2020
Radical AI podcast: featuring Sarah Myers West
June 16, 2020
AIhub coffee corner: ArXiv and the future of AI publishing
June 15, 2020
AI for good – global summit 2020
June 12, 2020
Interview with Falaah Arif Khan – talking security, comics and demystifying the hype surrounding AI
June 11, 2020
AI in tweets – May 2020: talks, reads and tutorials
June 10, 2020
The usefulness of useless AI
June 9, 2020
Making decision trees accurate again: explaining what explainable AI did not
June 8, 2020
The artificial intelligence economy
June 5, 2020
Finding unique drug structures with artificial intelligence and chemistry
June 4, 2020
Differentiable reasoning over text
June 3, 2020
A summary of the keynotes at AAMAS
June 2, 2020
Hot papers on arXiv from the past month – May 2020
June 1, 2020
2020 May
A deep learning framework for analysis of astronomical images
May 29, 2020
Robots learning to move like animals
May 28, 2020
How speech recognition techniques are helping to predict volcanoes’ behaviour
May 27, 2020
Identifying light sources using machine learning
May 26, 2020
Using machine learning to identify different types of brain injuries
May 25, 2020
Summarising the keynotes at ICLR: part two
May 22, 2020
Physically realistic attacks on deep reinforcement learning
May 21, 2020
Working towards explainable and data-efficient machine learning models via symbolic reasoning
May 20, 2020
Shortcuts to artificial intelligence – a tale
May 19, 2020
Q&A: research into sound-collecting app to aid respiratory disease diagnosis
May 18, 2020
AIhub coffee corner: The role of regulation in AI
May 15, 2020
Summarising the keynotes at ICLR: part one
May 14, 2020
Deep learning-guided surface characterization for autonomous fabrication
May 13, 2020
Unsupervised meta-learning: learning to learn without supervision
May 12, 2020
Voice assistants – strategies for handling private information
May 11, 2020
Engineering Out Loud: S9E4 – socializing robots
May 8, 2020
Tweet round-up from #ICLR2020
May 7, 2020
Does on-policy data collection fix errors in off-policy reinforcement learning?
May 6, 2020
Hot papers on arXiv from the past month – April 2020
May 5, 2020
US office the latest to deny patents where AI system listed as inventor
May 4, 2020
Interview with Siddharth Bhatia: a new approach for anomaly detection
May 1, 2020
2020 April
AI techniques used to improve battery health and safety
April 30, 2020
Deep learning could help medical professionals diagnose skin diseases
April 29, 2020
Privacy-driven speech transformation with adversarial learning
April 28, 2020
Learning DAGs with continuous optimization
April 27, 2020
AI Song Contest
April 24, 2020
How healthcare systems could use AI technology to tackle COVID-19
April 23, 2020
AIhub Ambassador programme – call for volunteers
April 22, 2020
Machine learning technique helps wearable devices get better at diagnosing sleep disorders and quality
April 21, 2020
BADGR: the Berkeley autonomous driving ground robot
April 20, 2020
Researchers use neural networks to shed light on hidden order problem
April 17, 2020
Thinking about ‘ethics’ in the ethics of AI
April 16, 2020
Machine learning tool may help us better understand RNA viruses
April 15, 2020
AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity
April 14, 2020
Digital health interventions: predicting individual success using machine learning
April 13, 2020
Explaining machine learning models for natural language
April 10, 2020
Speeding up transformer training and inference by increasing model size
April 9, 2020
Machine learning to scale up the quantum computer
April 8, 2020
Engineering Out Loud: S9E2 – AI, explain yourself
April 7, 2020
Will AI write the scientific papers of the future? – Yolanda Gil’s presidential address at #AAAI20
April 6, 2020
AlphaZero learns to solve quantum problems
April 3, 2020
Free AI classes and reads
April 2, 2020
Hot papers on arXiv from the past month – March 2020
April 1, 2020
