Nintendo’s 1st half sales drop 34% as Switch shows its age
Nintendo said sales for the 1st half of 2024 fell 34.1% to $3.43 billion as it saw a slowdown in...
AI News
Optimizing Large-Scale AI Model Pre-Training for Academic Research: A Resource-Efficient Approach
The landscape of AI research is experiencing significant challenges due to the immense computational requirements of large pre-trained language and...
Supercell opens London office, ups investment of Space Ape
Mobile games company Supercell has opened its fifth office in London, and also increased its investment in Space Ape to...
OpenAI Introduces ‘Predicted Outputs’ Feature: Speeding Up GPT-4o by ~5x for Tasks like Editing Docs or Refactoring Code
The use of large language models like GPT-4o and GPT-4o-mini has brought significant advancements in natural language processing, enabling high-quality...
Mike Verdu of Netflix Games leads new generative AI initiative
The former VP in charge of Netflix Games has taken on a new rule to use generative AI technologies in...
Project Jarvis leak reveals Google’s vision for the next-gen Gemini
Google has big hopes for AI, as evidenced by the consistent improvements to its Gemini chatbot in recent months. Google...
Predicting and Interpreting In-Context Learning Curves Through Bayesian Scaling Laws
Large Language Models (LLMs) have demonstrated remarkable in-context learning (ICL) capabilities, where they can learn tasks from demonstrations without requiring...
Nvidia AI Blueprint makes it easy for any devs to build automated agents that analyze video
Nvidia announced that its Nvidia AI Blueprint will make it easy for developers in any industry to build AI agents...
Copilot goes multi-model, Spark debuts for web dev
GitHub is marking a significant evolution of its developer tools with two major announcements: a multi-model upgrade to Copilot and...
MDAgents: A Dynamic Multi-Agent Framework for Enhanced Medical Decision-Making with Large Language Models
Foundation models hold promise in medicine, especially in assisting complex tasks like Medical Decision-Making (MDM). MDM is a nuanced process...
Incredibuild acquires Garden to accelerate game development
Incredibuild has acquired Garden to bolster its acceleration capabilities for the entire DevOps lifecycle for games.Read More Source link
ShadowKV: A High-Throughput Inference System for Long-Context LLM Inference
Large language models (LLMs) are getting better at scaling and handling long contexts. As they are being used on a...
pEBR: A Novel Probabilistic Embedding based Retrieval Model to Address the Challenges of Insufficient Retrieval for Head Queries and Irrelevant Retrieval for Tail Queries
Creating a common semantic space where queries and items can be represented as dense vectors is the main goal of...
LLaMA-Berry: Elevating AI Mathematical Reasoning through a Synergistic Approach of Monte Carlo Tree Search and Enhanced Solution Evaluation Models
Mathematical reasoning within artificial intelligence has emerged as a focal area in developing advanced problem-solving capabilities. AI can revolutionize scientific...
Meet Hertz-Dev: An Open-Source 8.5B Audio Model for Real-Time Conversational AI with 80ms Theoretical and 120ms Real-World Latency on a Single RTX 4090
Conversational AI is now a cornerstone of technology, but achieving fast, efficient, and real-time interaction remains challenging. Latency—the delay between...
This AI Paper from Google Research Introduces Speculative Knowledge Distillation: A Novel AI Approach to Bridging the Gap Between Teacher and Student Models
Knowledge distillation (KD) is a machine learning technique focused on transferring knowledge from a large, complex model (teacher) to a...
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization
Designing autonomous agents that can navigate complex web environments raises many challenges, in particular when such agents incorporate both textual...
Trajectory Flow Matching (TFM): A Simulation-Free Training Algorithm for Neural Differential Equation Models
In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses...
Enter the ‘Whisperverse’: How AI voice agents will guide us through our days
Within the next few years, an AI-powered voice will burrow into your ears and take up residence inside your head.Read...
Efficient Function Calling in Small-Scale LLMs: A Game-Changer for AI Reasoning Tasks
Recent advancements in Large Language Models (LLMs) have demonstrated exceptional natural language understanding and generation capabilities. Research has explored the...
Future Token Prediction Model FTP: A New AI Training Method for Transformers that Predicts Multiple Future Tokens
The current design of causal language models, such as GPTs, is intrinsically burdened with the challenge of semantic coherence over...
A Study on Protein Conformational Changes Using a Large-Scale Biophysical Sampling Augmented Deep Learning Strategy
Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Breakthroughs achieved by deep learning, such...
