#Machine Learning
50 articles with this tag
GPT-OSS-Puzzle-88B: Faster AI, Same Brains
GPT-OSS-Puzzle-88B offers substantial inference speedups for large language models without sacrificing accuracy, utilizing techniques like MoE pruning and window attention.
AI Societies' Safety Problem
Self-evolving AI societies face an impossible trilemma: achieving continuous learning, isolation, and safety alignment simultaneously.
TabICLv2: Spreadsheets Meet AI's Future
TabICLv2 emerges as a breakthrough tabular foundation model, challenging traditional methods with zero-shot, in-context learning on massive datasets.
OpenAI Unveils GPT-5.3-Codex-Spark for Real-Time Coding
OpenAI releases GPT-5.3-Codex-Spark, an ultra-fast AI model for real-time coding, leveraging Cerebras hardware for instant feedback and rapid iteration.
Wallapop Bets on Real-Time AI Discovery
Wallapop partners with Albatross to implement real-time AI discovery, aiming to revolutionize user engagement and seller visibility on its C2C platform.
Karpathy's microGPT: AI's minimalist masterpiece
Andrej Karpathy's microGPT is a minimalist, dependency-free Python implementation of a GPT language model, designed as an educational art project to showcase core AI mechanics.
CrowdStrike's AI Learns From Human Experts
CrowdStrike fuses AI's speed with human expertise, creating an adaptive security system that learns from real-world cyber intrusions.
DevFest 2025: AI, Cloud, and Global Reach
DevFest 2025 united developers globally, focusing on secure, scalable AI and Cloud solutions. Highlights from 114 countries point towards the future of development.
GPT-5.3 Codex Powers GitHub Copilot, Cursor
OpenAI's GPT-5.3 Codex, a next-generation agentic coding model, is now powering GitHub Copilot and Cursor, promising faster performance and broader capabilities beyond code generation.
AI Product Development Shifts to Execution
AI product development has shifted from experimentation to execution, focusing on application-layer innovation and economic viability.
Inside a Neuron: AI's Building Blocks
Explore the fundamental components of artificial neurons, including weights, biases, and activation functions like Sigmoid and ReLU, that power neural networks and AI.
New EB-JEPA Library Simplifies AI World Models
Meta AI's new EB-JEPA library offers accessible, single-GPU implementations for advanced AI world models, covering image, video, and planning tasks.
AI Learns Faster by Predicting the Future
AI learns faster with Predictive Inverse Dynamics Models (PIDMs) by forecasting future states, making imitation learning more data-efficient than traditional methods.
AI Coding Tests Flawed by Infrastructure Noise
The infrastructure powering AI coding tests can significantly inflate or deflate model scores, potentially masking true capabilities and misleading deployment decisions.
OpenAI Unveils GPT-5.3-Codex
OpenAI's GPT-5.3-Codex enhances coding and professional tasks, demonstrating self-improvement and broad computer operation capabilities.
AI Audience Targeting Ends Spaghetti Marketing for SMBs
AI audience targeting uses machine learning to process vast amounts of real-time data, creating dynamic segments based on predicted customer behavior rather than static demographics.
Small language model optimization cracks complex business math
Microsoft’s OptiMind is a 20-billion parameter small language model that achieves high accuracy in converting natural language business problems into mathematical optimization models through expert-aligned training.
Palantir and Databricks Forge Seamless Data Architecture for Operational AI
PhysBrain model uses human video to teach robots physical intelligence
Beyond the Token Tax: Why Dynamic Large Concept Models (DLCM) are the Future of LLM Efficiency
Apple Engineers Squeeze Powerhouse Vision Models into a Single Layer for Hyper-Efficient Image Generation
AI Customer Tracking Software Redefines SMB Growth
AI customer tracking software is becoming essential for SMBs to unify data, personalize interactions, and automate engagement for sustainable growth.
NeuroDiscoveryBench Sets New Standard for Neuroscience AI Benchmarks
AI Precision Oncology Gets Scalable Boost from Microsoft AI
Google's Vertex AI Studio: Accelerating AI Development from Concept to Production
Data Integration: Navigating the No-Code, Low-Code, and Pro-Code Divide
Khosla's Bet on World Models: General Intuition's Vision for AI's Next Frontier
The IDE Is Dead: Yegge Predicts AI's Overhaul of Software Development by 2026
National Security AI: The High Stakes of Government Innovation
VoiceVision RAG: Beyond Text, Towards True Multimodal Document Intelligence
AI's Pressure Cooker: Shifting Tides and Strategic Pivots
ChatGPT Voice Breaks Free: A New Paradigm for Conversational AI
AI's Ground Truth: Beyond Models to Infrastructure and Application
A Philosopher's Lens on AI's Evolving Consciousness
Harvey Redefines Legal AI, Shifts Focus to Firm Profitability
Building Resilient AI Agents Through Abstraction
Google-Replit Deal Ignites AI Coding Democratization
OpenAI Launches $2M AI Mental Health Grants Program
Agent Memory: The New Frontier of AI Reliability
AI's Inevitable Reshaping of Finance and the Workforce
Meta Prioritizes AI Over Metaverse Hardware for Immediate Returns
AI Agents Transform Data Engineering from Maintenance Burden to Innovation Engine
AWS AgentCore Unlocks Production-Ready AI Agents for Enterprise
C3.ai CEO Details Enterprise AI's Core Operational Impact
Enterprise AI Shifts: Agents Face Friction as API Adoption Fuels New Leaders
Enterprise AI Spend Diverges: Agents Lag, Model Access Surges
Jensen Huang Warns Against State-Level AI Regulation, Champions Federal Oversight
Choosing Good Quests in the Age of AI
Unlearning to Lead: Amplitude's AI Pivot and the Founder's Evolving Role
