A well-architected NFT marketplace represents a substantial commercial opportunity within the dynamic digital asset landscape. However, the path from initial concept to a fully operational and ...
Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Market data reflects a growing willingness among firms to operationalize tokenized offerings. A recent Broadridge survey shows that 15% of asset managers already offer tokenized funds, while 41% plan ...
Everyone says tokenization is being held back by regulation, custody infrastructure, or institutional conservatism. But I don't think that's true. The technology works. Assets settle perfectly onchain ...
Vibe coding trades creativity for coordination and oversight. Performance and UI issues still demand human judgment. AI shines when developers relentlessly lead, test, and correct. Over all my years ...
Over the holidays, Alex Lieberman had an idea: What if he could create Spotify “Wrapped” for his text messages? Without writing a single line of code, Lieberman, a co-founder of the media outlet ...
Contribute to mhrmahedi/domain-adapted-continual-pretraining development by creating an account on GitHub.
On Monday, Anthropic announced a new tool called Cowork, designed as a more accessible version of Claude Code. Built into the Claude Desktop app, the new tool lets users designate a specific folder ...
Crypto tends to get framed as volatile prices and speculation. However, two growth drivers are quietly creating long-term support: stablecoins and tokenization. Stablecoins can make digital payments ...
The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...