Miso Labs introduces MisoTTS, an 8-billion-parameter text-to-speech model with RVQ technology for expressive speech generation. It addresses the vocabulary size problem and interlocutor tone, achieving 110ms latency.
Cross-validation in machine learning is deemed ineffective by a seasoned expert due to numerous flaws in both k-fold and leave-one-out techniques. The lack of generalizability and unreliable hyperparameter tuning make cross-validation a questionable practice in real-world scenarios.
MIT, Georgia State University, and partners launch PATH to provide industry-aligned AI training for community colleges, emphasizing hands-on learning and collaboration. Program aims to develop practical AI skills and mindsets for a workforce prepared for the future.
NVIDIA introduces Nemotron 3 Ultra, a 550 billion parameter model with hybrid Mamba-Attention architecture, offering 6x higher inference throughput. The model uses Multi-Token Prediction for faster generation and achieves stable, accurate training with NVFP4 datatype.
AI agents must select the right tools for tasks to avoid errors and delays. Learn how SFT and DPO improve tool-calling accuracy in language models for reliable automation.
Deep Learning AMI and AWS Deep Learning Containers now support SOCI snapshotter and index for efficient container image management. SOCI's lazy loading reduces network bandwidth usage and improves container startup times, benefiting organizations managing large container images in cloud environments.
Amazon SageMaker AI now supports Fundamental's NEXUS model for accurate tabular data predictions in days. NEXUS offers deterministic results, native tabular understanding, and non-sequential reasoning for structured data analysis.
In 2026, AI agents excel at tasks like customer service, but struggle with complex inquiries. MIT and Harvard researchers improved AI's ability to ask questions through a "Battleship" game, leading to significant gains in performance and efficiency.
Researchers from MIT and the MIT-IBM Computing Research Lab developed ChartNet, a dataset and series of open-source models that outperform commercial AI models in tasks like chart interpretation. This breakthrough could empower small firms with limited budgets to leverage AI for business trend analysis and scientific figure interpretation.
NVIDIA AI team releases Cosmos 3, a unified model for physical AI. Combines physical reasoning, world generation, and action generation for robotics and autonomous vehicles.
Google DeepMind released Gemma 4 12B, an encoder-free multimodal model for text, images, audio, and video. The model runs on a laptop with 16 GB of RAM, bridging the gap between edge-friendly and larger variants, with open-source weights available for download.
Tod Machover, music tech pioneer at MIT Media Lab, awarded George Peabody Medal for groundbreaking work in AI and participatory opera. Known as a musical visionary, Machover expands music's boundaries and potential for all.
Practicing code with the Diabetes Dataset, scikit SVR model had poor prediction accuracy. Kernel SVR outperformed linear SVR due to its power and scalability, closely related to KRR.
Amazon Bedrock enables generative AI for 100,000+ organizations worldwide, offering comprehensive capabilities for bold innovation. Introducing Amazon Bedrock Ops Alert, a proactive monitoring solution for sustainable operational management of AI workloads, empowering teams to drive real business impact.
Amazon Nova Forge allows users to build customized language models that blend proprietary data with curated datasets, preventing catastrophic forgetting and improving domain performance without degrading general capabilities. The tool helps navigate the challenges of hyperparameter tuning for domain-specific tasks, avoiding expensive failures and ensuring the right balance between stability and...