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1859 articles found

· 23 days ago· Towards Data Science

How to Run OpenClaw with Open-Source Models

Run OpenClaw assistant through alternative LLMs The post How to Run OpenClaw with Open-Source Models appeared first on Towards Data Science.

#ai#towards-data-science
· 23 days ago· TechCrunch AI

Google Maps is about to get a big dose of AI

Generative AI is being infused into Google's popular feature within Maps.

#ai#techcrunch-ai
· 23 days ago· MIT Technology Review

AI needs a strong data fabric to deliver business value

Artificial intelligence is moving quickly in the enterprise, from experimentation to everyday use. Organizations are deploying copilots, agents, and predictive systems across finance, supply chains, human resources, and customer operations. By the end of 2025, half of companies used AI in at least t

#ai#mit-technology-review
· 23 days ago· TechCrunch AI

The most interesting startups showcased at Google Cloud Next 2026

Google wants AI startups on its cloud and has showcased a long list of them at its annual conference.

#ai#techcrunch-ai
· 23 days ago· DeepLearning.AI Updates

What's the best LLM out there right now?

We have all moved on from the early magic of ChatGPT as the LLM space has many players like Claude, Grok and Gemini today. Which one is your favorite and why? 1 post - 1 participant Read full topic

#ai#deeplearning.ai-updates
Anthropic’s most dangerous AI model just fell into the wrong hands
· 23 days ago· The Verge AI

Anthropic’s most dangerous AI model just fell into the wrong hands

Anthropic's Mythos AI model, a powerful cybersecurity tool that the company said could be dangerous in the wrong hands, has been accessed by a "small group of unauthorized users," Bloomberg reports. An unnamed member of the group, identified only as "a third-party contractor for Anthropic," told the

#ai#the-verge-ai
Anker made its own chip to bring AI to all its products
· 23 days ago· The Verge AI

Anker made its own chip to bring AI to all its products

Anker has announced its own custom silicon that the company says will bring local AI to audio devices, mobile accessories, and IoT devices. The Thus processor is the world's first neural-net compute-in-memory AI audio chip, which is smaller than traditional chips, and requires less power to run comp

#ai#the-verge-ai
· 23 days ago· MIT Technology Review

Los Angeles is finally going underground

Los Angeles deserves its reputation as the quintessential car city—the rhythms of its 2,200 square miles are dictated by wide boulevards and concrete arcs of freeways. But it once had a world-class rail transit system, and for the last three decades, the city has been rebuilding a network of trolley

#ai#mit-technology-review
· 23 days ago· MIT Technology Review

There is no nature anymore

When people talk about “nature,” they’re generally talking about things that aren’t made by human beings. Rocks. Reefs. Red wolves. But while there is plenty of God’s creation to go around, it is hard to think of anything on Earth that human hands haven’t affected. In the Brazilian rainforest, scien

#ai#mit-technology-review
· 23 days ago· MIT Technology Review

One town’s scheme to get rid of its geese

“Pull over!” I order my brother one sunny February afternoon. Our target is in sight: a gaggle of Canada geese, pecking at grass near the dog park. As I approach, tiptoeing over their grayish-white poop, I notice that one bird wears a white cuff around its slender black neck. It’s a GPS tracker—part

#ai#mit-technology-review
· 23 days ago· MIT Technology Review

3 things Michelle Kim is into right now

Isegye Idol If you thought K-pop was weird, virtual idols—humans who perform as anime-style digital characters via motion capture—will blow your mind. My favorite is a girl group called Isegye Idol, created by Woowakgood, a Korean VTuber (a streamer who likewise performs as a digital persona). Isegy

#ai#mit-technology-review
Ordering of Search (keyword & semantic) and Metadata Filter
· 23 days ago· DeepLearning.AI Updates

Ordering of Search (keyword & semantic) and Metadata Filter

The screenshot below from the Hybrid Search video in the Retrieval Augmented Generation course shows that the metadata filter is applied on the results of the two search methods. Since the searches are much more computationally expensive than applying a rule based metadata filter, why is the search

#ai#deeplearning.ai-updates
· 23 days ago· AI News

The role of AI in modern forex bot development

Artificial intelligence has become a defining force in financial markets. And currency trading is no exception. The rise of the AI-powered forex bot reflects a change toward automated systems capable of processing vast amounts of market data and identifying patterns beyond the reach of manual analys

#ai#ai-news
· 23 days ago· DeepLearning.AI Updates

Documenting the seven tables and their related methods/functions

Documenting the seven tables and their related methods/functions: CONVERSATIONAL_TABLE: plain table write_conversational_memory called at the beginning of a conversation for a query and the end for an answer read_conversational_memory called at the beginning of a conversation KNOWLEDGE_BASE_TABLE: t

#ai#deeplearning.ai-updates
Deterministic memory operations vs agent triggered memory operations
· 23 days ago· DeepLearning.AI Updates

Deterministic memory operations vs agent triggered memory operations

There is a table in the L2 notebook about deterministic memory operations and agent-triggered memory operations. Based on the L5 notebook, I reckon read_summary_context and write_entity should be classified as deterministic rather than agent-triggered, because both are called by the orchestration co

#ai#deeplearning.ai-updates
A "Lay" Introduction to "On the Complexity of Neural Computation in Superposition"
· 23 days ago· AI Alignment Forum

A "Lay" Introduction to "On the Complexity of Neural Computation in Superposition"

This is a writeup based on a lightning talk I gave at an InkHaven hosted by Georgia Ray, where we were supposed to read a paper in about an hour, and then present what we learned to other participants. Introduction and Background So. I foolishly thought I could read a theoretical machine learning pa

#ai#ai-alignment-forum
· 23 days ago· OpenAI Blog

Analyzing data with ChatGPT

Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.

#ai#openai-blog
· 23 days ago· OpenAI Blog

ChatGPT for operations teams

Learn how operations teams use ChatGPT to streamline workflows, improve coordination, standardize processes, and drive faster execution.

#ai#openai-blog
· 23 days ago· TechCrunch AI

SpaceX is working with Cursor and has an option to buy the startup for $60B

The move could shore up weaknesses at each company, but it also reveals them. Neither Cursor nor xAI has proprietary models that can match the leading offerings from Anthropic and OpenAI — the same companies now competing directly with Cursor for the developer market.

#ai#techcrunch-ai
· 23 days ago· DeepLearning.AI Updates

How to Evaluate a Self-Evaluating RAG System using DeepEval / RAGAS with a Golden Dataset?

Hi everyone, I’ve built a Self-Evaluating RAG System using LangChain, ChromaDB, BM25 hybrid retrieval, query rewriting, and cross-encoder reranking, with LLaMA 3.3 70B via Groq as the LLM. I’m trying to evaluate it using DeepEval with a golden dataset (QA pairs generated from my documents). Here’s m

#ai#deeplearning.ai-updates
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