This week in AI & Machine Learning: Robotic farming, Intel ML chips, legal contract understanding, deep learning for drug discovery & more
Authors note:
Hello everyone, you’ll notice the format of this weekly AI post has changed. I hope you’ll find this new format useful!
🤖 Artificial Intelligence News:
- EU Project Robs4Crops to Accelerate Shift Towards Robotics ← A really cool post on the current landscape of robotic farming applications and how Robs4Crops is accelerating robot adoption in the agriculture space.
- Facebook’s Next Big AI Project is Training its Machines on Users’ Public Videos
- Intel Works with Deci to Speed Up Machine Learning on its Chips ← The machine learning chip news just keeps coming!
- Hugging Face raises $40 million for its natural language processing library
🛠️ Developer Tools & Education:
- Contract Understanding Atticus Dataset ← Over 13,000 annotations from legal experts for hundreds of legal contracts!
- Announcing: TorchMetrics V0.2 ← a collection of PyTorch metric implementations from PyTorch Lightning.
- A New Lens on Understanding Generalization in Deep Learning
- Fine-Tune XLSR-Wav2Vec2 for Low-Resource ASR with Hugging Face Transformers
- LEAF: A Learnable Frontend for Audio Classification
- Defending against adversarial image attacks with Keras and TensorFlow
🎤 Interesting Podcasts & Interviews:
- Translating PhD Research into ML Applications | SuperDataScience
- Deep Learning Technology for Drug Discovery | Practical AI
- Architectural and Organizational Patterns in Machine Learning with Nishan Subedi | TWiML
- Robust Visual Reasoning with Adriana Kovashka | TWiML ← visual commonsense research is super interesting!
📄 Notable Research Papers:
- Deep Active Shape Model for Face Alignment and Pose Estimation in Mobile Environment
- Challenges for Reinforcement Learning in Healthcare
- CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
- A Crash Course on Reinforcement Learning
- Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Model
