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The most popular blog posts about ai & machine learning on Hacker News. 6,328 posts.
We present ObamaNet , the first architecture that generates both audio and synchronized photo-realistic lip-sync videos from any new text. Contrary to other published lip-sync approaches, ours is only composed of fully trainable neural modules and does not rely on any traditional computer graphics methods. More…
With Claude Opus 4.6, finance teams get better reasoning on complex analyses, cleaner first-pass deliverables, and new tools built for where analysts actually spend their time.
A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules.
Extract table from image with Nanonets table detection OCR. Learn OCR table Deep Learning methods to detect tables in images or PDF documents.
A guide to maximizing the utilization of GPUs, from cloud allocations to FLOP/s.
The uncanny resemblance between double descent and a 50 year old theory from psychology
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
A journey into making Stack Overflow job search results relevant to you
Today, tech folk are scrambling to change their workflows to meet newly inflated 5X productivity quotas, while getting pummeled under the co...
If your initial reaction to reading that and seeing that is some variation of "ughhh" or rolling your eyes or "fuck this guy" congrats. You are normal.
Lessons from implementing our first Responsible Scaling Policy, which focuses on catastrophic safety failures and misuse of frontier models.
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Less-experienced contact center agents become more productive with assistance from generative artificial intelligence, a new study finds.
Graduate students are helping to infuse ethical computing content into MIT’s largest machine learning course, as part of the Social and Ethical Responsibilities of Computing initiative.
Dell sent me two of their GB10 mini workstations to test: In this blog post, I'll cover the base system, just one of the two nodes. Cluster testing is ongoing, and I'll cover things like AI model training and networking more in depth next year, likely with comparisons to the Framework Desktop cluster and Mac Studio…
“It’s not that hard to build a fully functioning, code-editing agent.” Thorsten Ball
Beginners are vibe-coding apps and experts are maxing out their LLM subscriptions. What does this mean for how we build software?
Machine-learning generated content has major implications on the Metaverse, because it brings the marginal cost of production to zero.
AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.
A historical analysis of what the earliest electrical and great applied R&D labs can teach Answer.AI, and potential pitfalls
Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form…
Full-text search is a powerful machine learning algorithm, especially relevant for web developers. This article teaches you the basics, from scratch.
