Strategies needed to counter potential AI misuse.
Seeking clarity rather than strong opinions on intelligence.
Successful implementation of the EU AI Act requires interdisciplinary efforts.
Discussions of machine versus living intelligence need more clarity.
Deeper evaluation of a single-cell foundation model.
Reply to: Deeper evaluation of a single-cell foundation model.
Limitations in odour recognition and generalization in a neuromorphic olfactory circuit.
Reply to: Limitations in odour recognition and generalization in a neuromorphic olfactory circuit.
Stable Cox regression for survival analysis under distribution shifts.
Leveraging ancestral sequence reconstruction for protein representation learning.
Kernel approximation using analogue in-memory computing.
An interpretable RNA foundation model for exploring functional RNA motifs in plants.
Pick your AI poison.
Estimation of causal effects of genes on complex traits using a Bayesian-network-based framework applied to GWAS data.
A multiscale approach for biomedical machine learning.
Wing-strain-based flight control of flapping-wing drones through reinforcement learning.
Zero-shot transfer of protein sequence likelihood models to thermostability prediction.
An end-to-end recurrent compressed sensing method to denoise, detect and demix calcium imaging data.
What is in your LLM-based framework?
A step forward in tracing and documenting dataset provenance.
A large-scale audit of dataset licensing and attribution in AI.
A question of trust for AI research in medicine.
The need for reproducible research in soft robotics.
Realistic morphology-preserving generative modelling of the brain.
Automated construction of cognitive maps with visual predictive coding.
Partial-convolution-implemented generative adversarial network for global oceanic data assimilation.
Will generative AI transform robotics?
Machine learning for micro- and nanorobots.
Neuromorphic visual scene understanding with resonator networks.
Visual odometry with neuromorphic resonator networks.
Distributed constrained combinatorial optimization leveraging hypergraph neural networks
Empathic AI can't get under the skin.
Back to basics to open the black box.
Quantum circuit synthesis with diffusion models.
Augmenting large language models with chemistry tools.
Accurate and robust protein sequence design with CarbonDesign.
Predicting equilibrium distributions for molecular systems with deep learning.
Efficient learning of accurate surrogates for simulations of complex systems.
The rewards of reusable machine learning code.
Dangers of speech technology for workplace diversity.
Artificial intelligence tackles the nature–nurture debate.
The benefits, risks and bounds of personalizing the alignment of large language models to individuals.
Synthetic Lagrangian turbulence by generative diffusion models.
The synergy complement control approach for seamless limb-driven prostheses.
The new NeuroAI.
Connecting molecular properties with plain language.
A collective AI via lifelong learning and sharing at the edge.
Challenges and opportunities in translating ethical AI principles into practice for children.
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics.
AI protein shake-up.