AdaBoost.R2 modifies AdaBoost for regression, creating a sequence of decision trees for better predictions. Weighted median enhances accuracy by emphasizing high-confidence tree predictions.
MIT researchers developed SciAgents, an AI framework for generating evidence-driven research hypotheses in biologically inspired materials, leveraging graph reasoning methods. Co-authored by Alireza Ghafarollahi and Markus Buehler, the study aims to simulate the collective intelligence of scientists to accelerate the discovery process.
Fastweb leverages AWS for AI journey, fine-tuning Mistral 7B for Italian language tasks, unlocking new opportunities. The team's strategic decision on AWS drives efficient data preparation, early results, and computational efficiency in AI and ML services.
Article Summary: Exploring the knapsack problem in product analytics, from marketing campaigns to retail space optimization. Learn about solving it using linear programming for informed decision-making.
Imagination Technologies licenses UK tech to Chinese firms for AI chips in advanced weapons systems, raising national security concerns. Chinese companies Moore Threads and Biren Technology under US export restrictions for developing AI chips for military purposes.
Enterprise customers are adopting Generative AI like Amazon Q Business to enhance user productivity and customer experience. Amazon Q Business allows users to interact in natural language, access data sources securely, and integrate with third-party applications like Jira and Salesforce for various use cases.
Chip manufacturers are exploring multilayered chip designs to increase computing power. MIT engineers have developed a method to stack high-quality semiconducting layers without bulky silicon substrates, potentially revolutionizing AI hardware.
Soft Actor-Critic (SAC) is a new off-policy deep RL algorithm addressing stability issues in high-dimensional environments. SAC promotes robustness and exploration in bioengineering systems like de novo drug design.
NeurIPS 2024 Challenge 2nd prize winner presents a unique approach to effective LLM unlearning without retaining dataset, using reinforcement learning and classifier-free guidance. The competition focused on forcing LLM to generate personal data and protecting it; solution involved supervised finetuning, reinforcement learning, and CFG.
MIT scientists release Boltz-1, an open-source AI model rivaling AlphaFold3 for predicting protein structures. Boltz-1 aims to accelerate drug development and foster global collaboration in biomolecular modeling.
AI's tone-shifting tech is feared to flatten communication, sparking a backlash. A ball of rubber bands may be the perfect gift for men this Christmas, as simplicity reigns over bulky items.
UK government proposes opt-out scheme for creatives against AI use by Google, OpenAI. Book publishers and campaigners criticize untested copyright exemption.
AI tool by Amazon for UK Ministry of Defence recruitment poses public identification risk. AI systems like GPT-4o and chatbots offer benefits but also raise concerns about data security and human reliance.
Amazon Bedrock Data Automation simplifies data extraction from unstructured assets, offering a unified experience for developers to automate insights from documents, images, audio, and videos. Customers can easily generate standard or custom outputs, integrating Amazon Bedrock Data Automation into existing applications for efficient media analysis and intelligent document processing workflows.
Machine learning random forest regression predicts values using decision trees. C# demo shows synthetic data prediction accuracy of 0.9250 for training and 0.7250 for test.