DoorDash adds AI tools to speed up merchant onboarding, edit photos of dishes
DoorDash on Monday added new AI-powered tools that let merchants speed up onboarding, edit photos to make dishes look better, and create new websites from existing content.
Every day, millions of pieces of fake content are produced. Videos, audio clips, posts, articles, generated by artificial intelligence, distributed at industrial scale, aimed at shifting public opinion across entire countries. The people producing them are often outside the country being targeted. T...
A Coding Implementation to Explore and Analyze the TaskTrove Dataset with Streaming Parsing Visualization and Verifier Detection
In this tutorial, we take a deep dive into the TaskTrove dataset on Hugging Face and build a complete, practical workflow to efficiently explore it. Instead of downloading the full multi-gigabyte dataset, we stream it directly and work with individual samples in real time. We begin by setting up the...
Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time
Sakana AI Introduces KAME: A Tandem Architecture That Injects Real-Time LLM Knowledge Into Speech-to-Speech Conversational AI Without Adding Latency
The post Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time appeared first on MarkTechPost.
Mistral AI Launches Remote Agents in Vibe and Mistral Medium 3.5 with 77.6% SWE-Bench Verified Score
Mistral AI's latest release brings async cloud-based coding sessions, a new 128B flagship model, and an agentic Work mode to Le Chat — a meaningful step forward for developers building with AI agents.
The post Mistral AI Launches Remote Agents in Vibe and Mistral Medium 3.5 with 77.6% SWE-Bench Veri...
Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation
Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation
The post Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation appeared first on MarkTechPost.
A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset
In this tutorial, we explore the lambda/hermes-agent-reasoning-traces dataset to understand how agent-based models think, use tools, and generate responses across multi-turn conversations. We start by loading and inspecting the dataset, examining its structure, categories, and conversational format ...
A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
A new paper from NVIDIA Research integrates speculative decoding directly into NeMo RL with a vLLM backend, delivering lossless rollout acceleration at both 8B and projected 235B model scales.
The post A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speed...
A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
In this tutorial, we explore how we can decode linguistic features directly from brain signals using a modern neuroAI pipeline. We work with MEG data and build an end-to-end system that transforms raw neural activity into meaningful predictions, in this case, estimating word length from brain respon...
Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation
Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation
The post Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation appeared fi...
Did you know you can’t steal a charity? Don’t worry. Elon Musk will remind you.
Elon Musk spent the better part of three days on the witness stand this week in his lawsuit against OpenAI, and it’s already getting messy. Emails, texts, and his own tweets are surfacing in court, and there are plenty more witnesses to come. Musk’s argument against OpenAI? By converting the company...
Pentagon inks deals with Nvidia, Microsoft and AWS to deploy AI on classified networks
The deals come as the DoD has doubled down on diversifying its exposure to AI vendors in the wake of its controversial dispute with Anthropic over usage terms of its AI models.
What's shaping frontier AI in 2026? Find out in London, May 21st
On May 21st, the Innodata GenAI Summit convenes in London for a single day of rigorous, practitioner-led exchange on the challenges defining frontier AI in 2026. Here is what the agenda covers, who is in the room, and why it's a must for AI professionals...
The release of Gemma 4 has added energy to the discussion of local models and their importance. Models that you can download and run on hardware you own are becoming competitive with the “frontier models” hosted by large AI providers. These models have gotten good enough for production use, good eno...
Elon Musk spent the better part of three days on the witness stand this week in his lawsuit against OpenAI, and it’s already getting messy. Emails, texts, and his own tweets are surfacing in court, and there are plenty more witnesses to come. Musk’s argument against OpenAI? By converting the company...
Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
Qwen Team Introduces Qwen-Scope: An Open-Source Sparse Autoencoder Suite That Turns LLM Internals into Practical Development Tools
The post Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools appeared first on ...
A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows
In this tutorial, we build the entire Agentic UI stack from the ground up using plain Python, without relying on external frameworks to abstract away the core ideas. We implement the AG-UI event stream to make agent behavior observable in real time, and we bring in A2UI as a declarative layer that a...