BUILD SCRAPERS LIKE A PRO WITH OXYCOPILOT BY OXYLABS
4 days ago
Developers with limited coding skills can now use Oxylabs' AI-driven OxyCopilot.
This tool builds scalable web scrapers and parsers, leveraging Oxylabs' scraping infrastructure.
OXYCOPILOT FEATURES
- AI-powered parsing of complex HTML into structured data
- Quick adaptation to website layout chang
PyTorch releases version 2.5, offering up to 2x speedup for Scaled dot product attention on H100 GPUs
4 days ago
PyTorch releases version 2.5, offering up to 2x speedup for Scaled dot product attention on H100 GPUs
JOIN NODES: FREE CONFERENCE ON KNOWLEDGE GRAPHS + AI
4 days ago
Neo4j's 24-hour virtual developer conference starts November 7.
Explore 140+ sessions on knowledge graphs, AI, data science, and intelligent apps.
Learn from experts, build skills, and discover real-world use cases.
LLMs lack explicit thinking abilities for complex reasoning tasks. Existing methods like chain-of-thought are limited to math and logic problems and require human-written examples.
4 days ago
LLMs lack explicit thinking abilities for complex reasoning tasks. Existing methods like chain-of-thought are limited to math and logic problems and require human-written examples.
Current evaluation methods for agentic AI systems are inadequate, focusing only on final outcomes or requiring excessive manual labor. This fails to capture the step-by-step nature of agentic systems and slows progress.
4 days ago
Current evaluation methods for agentic AI systems are inadequate, focusing only on final outcomes or requiring excessive manual labor. This fails to capture the step-by-step nature of agentic systems and slows progress.
The paper identifies the absence of explicit scaling laws for Diffusion Transformers (DiT) in text-to-image generation, which results in inefficient resource allocation. Current models lack precise predictions for optimal model size and data requirements, leading to costly heuristic searches.
4 days ago
The paper identifies the absence of explicit scaling laws for Diffusion Transformers (DiT) in text-to-image generation, which results in inefficient resource allocation. Current models lack precise predictions for optimal model size and data requirements, leading to costly heuristic searches.
The Story of the Indian Warren Buffett: 'Shamelessly Cloning'
4 days ago
OK you’re going to like this. A few months ago - I met the “Indian Warren Buffett”. I’m serious..look at the guy! Not only was he fun to hangout with (and really nice), but he has banger stories. Here was one he shared: I asked him how he built his $100M+ fortune, and he said “two words…Shamelessly
Meta's New Privacy Updates
4 days ago
Earlier this week, our article- “Why Morally Aligned LLMs Solve Nothing”- covered how Meta should be doing more to protect people (especially teenage boys) from sextortion and scammers. We detailed several changes that could be implemented very quickly and cheaply that would have significant results
I’ve had a few conversations with people recently, and it’s convinced me to learn more about Venture Capital and how it works. It would help a lot with my end goals (having my own AI Lab focused on Open Research and developing tools to promote AI Transparency and Safety for critical fields like Law,
We’re coming up on 4 years since I decided to become more committed to the cult. So much has changed about my life, and I never really expected this to work out in the way that it has (we’ve reached over 10 Million people overall and are only growing). Before I get to writing that, I want to have a
U.S. Engineers’ Salaries Up in 2023
4 days ago
There’s good earnings news for U.S. members: Salaries are rising. Base salaries increased by about 5 percent from 2022 to 2023, according to the IEEE-USA
2024 Salary and Benefits Survey Report
.
Last year’s report
showed that inflation had outpaced earnings growth but that’s not the case this ye
Video Friday: Mobile Robot Upgrades
4 days ago
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at
IEEE Spectrum
robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please
send us your events
for inclusion.
ROSCon 2024
: 21–23 October 2024, ODENSE, DENMARK
ESP is building a foundational AI model akin to ChatGPT, but for animal communication. Their initial version of this model was released in 2022. The model uses machine learning techniques, such as embeddings, to identify patterns in animal vocalizations across species, even when the meaning behind t
Abel uses AI to automate the creation of police reports. By processing data from body cam footage and dispatch calls, Abel generates first drafts of reports, which officers can later review and edit. This system reduces the time needed for paperwork, particularly in complex scenarios like car chases
Simplismart is an MLOps platform that accelerates AI model fine-tuning, deployment, and observability. Their platform allows enterprises to deploy open-source models by leveraging a software-optimized inference engine that achieves a throughput of 501 tokens/sec on the Llama3.1 8B model for example.
Kick offers a self-driving bookkeeping platform powered by AI. Business owners link their bank and credit card accounts to the platform, and Kick pulls in all the transactional data, categorizes it in real time, and allows users to review any flagged transactions. Kick also provides tax-ready financ
Dottxt offers a structured generation solution that allows developers to control and guide the outputs of AI models. Their platform ensures that AI models produce responses that adhere to specific formats or grammars, enabling more predictable and useful results in enterprise applications. The compa
Nvidia's new AI model, Llama-3.1-Nemotron-70B-Instruct, surpasses performance benchmarks set by OpenAI and Anthropic, challenging industry leaders
5 days ago
Nvidia's new AI model, Llama-3.1-Nemotron-70B-Instruct, surpasses performance benchmarks set by OpenAI and Anthropic, challenging industry leaders
DISTRIBUTED TRAINING GUIDE (GITHUB REPO)
5 days ago
This is a comprehensive guide on best practices for distributed training, diagnosing errors, and fully utilizing all resources available.
AUTO-REGRESSIVE MODEL FOR IMAGE GENERATION (GITHUB REPO)
5 days ago
DiGIT is an auto-regressive generative model that predicts tokens in a latent space using self-supervised learning. It is a discrete tokenizer that improves image generation on ImageNet by clustering hidden states from DINOv2.
EFFICIENT FEDERATED LEARNING (GITHUB REPO)
5 days ago
The FedPart method addresses the layer mismatch issue in federated learning by restricting model updates to specific layers during each training round.
CUSTOMIZE AUDIO OVERVIEWS WITH GOOGLE'S NOTEBOOKLM (6 MINUTE READ)
5 days ago
NotebookLM now allows users to tailor their Audio Overview experience, giving more control over the AI hosts' focus and expertise. Businesses can apply for the new NotebookLM Business pilot program, which offers enhanced tools for professional use.
MIT RESEARCHERS COMBINE NEXT-TOKEN PREDICTION AND VIDEO DIFFUSION FOR ROBOTICS (6 MINUTE READ)
5 days ago
A new method combines next-token prediction and video diffusion, enabling neural networks to clean corrupted data while predicting future steps. This approach enhances a model's ability to generate high-quality video, create flexible plans for robots, and assist AI agents in navigating digital envir
NVIDIA JUST DROPPED A NEW AI MODEL THAT CRUSHES OPENAI'S GPT-4 (5 MINUTE READ)
5 days ago
Nvidia's new AI model, Llama-3.1-Nemotron-70B-Instruct, surpasses performance benchmarks set by OpenAI and Anthropic. This model marks Nvidia's strategic expansion from hardware to sophisticated AI software. By advancing both text-only and multimodal models, Nvidia challenges existing industry leade
META RELEASING “MOVIE GEN BENCH” (GITHUB REPO)
5 days ago
“Movie Gen Bench” is an evaluation benchmark for assessing both video (Video Bench) and audio (Audio Bench) performance. It consists of 1,003 prompts that cover all the different testing aspects/concepts.