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.
Large language models (LLMs) require well-curated datasets for optimal performance. Data preprocessing involves extracting text from diverse sources and filtering for quality, using tools like OCR and regex filters.
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.
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.
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.
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.
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.
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.
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.
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.
UK government proposes opt-out scheme for creatives against AI use by Google, OpenAI. Book publishers and campaigners criticize untested copyright exemption.
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.
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.
MIT senior Lara Ozkan named 2025 Marshall Scholar, pursuing graduate studies in the U.K. in biological science and AI. Ozkan's achievements in computational biology research and AI ethics highlighted, advancing women's health through innovation.