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Model Interpretability and Rationale Extraction by Input Mask Optimization

arXiv:2508.11388v1 Announce Type: new Abstract: Concurrent to the rapid progress in the development of neural-network...

Model Context Protocol: A promising AI integration layer, but not a standard (yet)

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a...

Model Context Protocol Explained in 3 Levels of Difficulty

MCP provides a standard way for AI applications and external systems to communicate...

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs

arXiv:2602.23136v2 Announce Type: replace Abstract: Numerous studies have shown that multimodal LLMs process speech and...

MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis

arXiv:2605.00025v1 Announce Type: cross Abstract: Speech neuroprosthesis systems decode intended speech from neural activity in...

Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation

arXiv:2502.00662v2 Announce Type: replace-cross Abstract: Existing vision-language model (VLM)-based methods for out-of-distribution (OOD) detection typically...

MIT’s LEGO: A Compiler for AI Chips that Auto-Generates Fast, Efficient Spatial Accelerators

Table of contents Hardware Generation without Templates Input IR: Affine, Relation-Centric Semantics (Deconstruct) Front End:...

MIT Technology Review’s most popular stories of 2025

It’s been a busy and productive year here at MIT Technology Review. We published magazine...

MIT Researchers Enhanced Artificial Intelligence (AI) 64x Better at Planning, Achieving 94% Accuracy

Can a 8B-parameter language model produce provably valid multi-step plans instead of plausible guesses? MIT...

MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon

Training large-scale transformers stably has been a longstanding challenge in deep learning, particularly as models...

Mistral launches new code embedding model that outperforms OpenAI and Cohere in real-world retrieval tasks

Mistral’s Codestral Embed will help make RAG use cases faster and find duplicate code segments...

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