BLIP3o-NEXT: A new challenger in open-source AI image generation
Salesforce's new 3B model unifies text-to-image generation and editing in a single, open-source architecture.
Machine learning in space: Building intelligent systems for the harshest environments
A new breed of tiny, hyper-efficient AI is revolutionizing space, extending satellite life and unlocking the next great era of autonomous exploration.
Decoding the brain, inspiring AI: How Rahul Biswas is bridging neuroscience...
The convergence of AI and neuroscience opens exciting possibilities for understanding human cognition and driving innovation in deep learning.
The cash flow conundrum: How technology is reshaping small business finance
Late payments and invoice management are big challenges. Read about how payment platform Accru is addressing these challenges.
Beyond vibe coding: How Codev brings structure to AI-generated software
A new open-source framework turns ephemeral conversations with AI coding agents into durable, production-ready artifacts for software.
Inside Claude Skills: Anthropic’s new pattern for customizing LLMs
Anthropic is moving beyond complex protocols with Claude Skills, a system that uses simple folders and scripts to transform generalist LLMs into multi-skilled agents.
Samsung’s Tiny Recursive Model solves complex puzzles better than giant LLMs
The Tiny Recursive Model proves "less is more," allowing a simple two-layer network to master complex logic puzzles that stump even the largest AIs.
AI’s great paradox: The industry’s rise and investors’ collapse
The AI industry faces a paradox, promising transformational advances while investors risk substantial losses due to limitations of current technologies and potential quantum breakthroughs.
Why vibe coding won’t kill software engineering
Vibe-coding platforms are dishing out code faster than ever before. But software engineering is more than just prompting LLMs.
Claude Sonnet 4.5 takes reshuffles the AI coding leaderboard with token...
Claude Sonnet 4.5 offers incremental improvements, impressive long-term coding capabilities, and key token efficiencies to reclaim its enterprise market leadership.
Applied ML: When ‘perfect’ becomes the enemy of ‘good’
Waiting for perfect data can stall your machine learning project and result in losing opportunities of creating good-enough models.
AI can’t replace software engineers yet, but here is how to...
AI is not a replacement for engineers, but it can be very useful to product managers testing hypotheses and product ideas.
How to turbocharge your product and market research with DeepSearch
If you think in terms of the JBTD framework, Deep Search products can save you a ton of time and effort in finding new product and market opportunities.
