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Tag: #theorem-prover2 results

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TorchLean Formalizes NNs in Lean

TorchLean is a Lean 4 framework treating neural networks as first-class mathematical objects for unified execution and verification. It offers a verified PyTorch-style API, explicit Float32 semantics, and IBP/CROWN-style bound propagation. Validated on certified robustness, PINNs, and neural controllers with mechanized theorems.

Reddit r/MachineLearningCommunityMar 2#formal-verification#theorem-prover#nn-safety
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When AI Diagnoses Clash With Doctors

Patients are increasingly bringing answers from Doubao and other AI assistants into hospitals, sometimes challenging doctors' diagnoses and requesting unnecessary tests. The article documents how AI hallucinations, incomplete symptom interpretation, and misplaced patient trust are increasing consultation time and worsening doctor-patient friction.

Kling AI Becomes Kuaishou’s Growth Engine

Kling AI Becomes Kuaishou’s Growth Engine

Kling AI generated more than RMB 850 million in Q2 revenue, up 240% year over year, making it the standout growth driver in Kuaishou’s otherwise slowing business. Kuaishou is prioritizing AI investment, spinning Kling AI out for independent financing at an implied valuation of US$18 billion despite near-term profit pressure.

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus is pursuing mass production of advanced 2nm semiconductors through a large-scale Japanese national project. Instead of matching TSMC’s scale, the company plans to compete with RUMS, an integrated one-building production model designed for diverse, lower-volume manufacturing.

ITmedia AI+ (日本)Media2h ago#2nm#semiconductors#chip-manufacturing