How Nvidia changed the open source AI game with Nemotron 3
As the industry shifts from chatbots to multi-agent workflows, Nvidia's Nemotron 3 offers a blueprint for efficient, long-context reasoning.
AI is writing your code, but who’s reviewing it?
As AI coding assistants go mainstream, a silent wave of technical debt is building. Here’s how the industry is fighting back.
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.
What makes DeepSeek-V3.2 so efficient?
DeepSeek-V3.2 is a top-5 LLM, sitting next to the likes of Grok 4 and GPT-5. But what is more impressive is its efficiency.
OpenAI’s code red: The curse of being at the forefront of...
OpenAI’s problem is not that it doesn't have the best model anymore but that the general feeling is that it has fallen behind.
What is next in reinforcement learning for LLMs?
Reinforcement learning from verifiable rewards (RLVR) ushered in a new generation of reasoning models. Now, researchers are looking beyond RLVR to create the next breakthrough in AI.
Prompt injection attack tricks Google’s Antigravity into stealing your secrets
An indirect prompt injection turns the AI agent in Google's Antigravity IDE into an insider threat, bypassing security controls to steal credentials.
What to know about Claude Opus 4.5
Anthropic responds to OpenAI and Google with Claude Opus 4.5, a model that prioritizes coding dominance, cost-efficiency, and user-controlled reasoning.
What is next for Yann LeCun after his departure from Meta?
One of the most accomplished AI scientists is departing his long-time role at Meta. What do we know about Yann LeCun's vision for the future of AI?
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.
