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Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...
Nature

AI models were given four weeks of therapy: the results worried researchers

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...
The Information

DeepSeek To Release Next Flagship AI Model With Strong Coding Ability

Chinese AI startup DeepSeek is expected to launch its next-generation AI model that features strong coding capabilities in ...

The Scale Agency Spotlights Answer Engine Optimization As Search Behavior Shifts Globally

Answer Engine Optimization, known as AEO, is emerging as a core strategy for visibility in a search environment where ...
IEEE

DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Resource Allocation

Abstract: With the rapid advancements in wireless communication fields, including low-altitude economies, 6G, and Wi-Fi, the scale of wireless networks continues to expand, accompanied by increasing ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

DeepSeek pitches new route to scale AI, but researchers call for more testing

DeepSeek's proposed "mHC" design could change how AI models are trained, but experts caution it still needs to prove itself ...
GitHub

Conformal Risk Training: End-to-End Optimization of Conformal Risk Control

Download the dataset here, and unzip the dataset to polyps/data. We use a similar dataset as PraNet, with improved pre-processing and filtering of duplicates. See polyps/process_data.ipynb for details ...
IEEE

Ant Colony Optimization With Deep Heuristic Information for Solving Electric Vehicle Routing Problems

Abstract: The electric vehicle routing problem (EVRP) is a complex logistical challenge that requires optimizing both route planning and charging decisions. Although ant colony optimization (ACO) has ...