Deep Learning

Deep Learning news and articles

Azure OpenAI is powerful AI service offered by Microsoft, providing developers with the tools they need to build intelligent......

Keywords: scala, machine learning, gpt, chatbot

neuro-symbolic AI | Yesterday

Neuro symbolic AI combines with rules based symbolic processing techniques to improve artificial intelligence systems accuracy, explainability and precision. The neural aspect involves the statistical deep learning techniques used in many types of T...

Keywords: mathematic, excel, machine learning, programming
For those who want to understand cuda doesImage by the author with the assistance of AI when we talk about deep learning, it is very common to associate its implementation with utilizing GPUs in order to improve performance.GPUs Graphical P...

Keywords: pytorch, ai , python library
OpenAI today announced host of new features for enterprise users, with new tools that aim to enhance administrative control and security, improvements to its Assistants API and additional options for cost management. The company said the new features...

Keywords: classification, ai , aws, programming
IssueI am using CoDi which is multimodal Latent diffusion model. am trying to remove the modules on images and video from CoDi and fine tune it with text music pair data.The training script for generating music from text prompt is as follow...

Keywords: python, cpu, node, openai, iot
Deep reinforcement learning Deep RL combines reinforcement learning RL and deep learning. It has shown remarkable success in complex tasks previously unimaginable for machine. Deep RL has achieved human level or superhuman performance for many tw...

Keywords: framework, optimization, excel, neural network

GPT-5: Everything You Need to Know | Today

blog about AI that 8217 s actually about peopleThis super long article 8212 part review, part exploration 8212 is about GPT 5. But it is about much more. It 8217 s about what we can expect from next gen AI models. It 8217 s about the exciting ne...

Keywords: ai , nlg, gpt, aws
OpenAI proposes that when multiple instructions are presented to the model, lower privileged instructions should only be followed if they are aligned with higher privileged ones.The post OpenAI Introduces Instruction Hierarchy to Protect LLMs from Ja...

Keywords: openai, gpt, analytic, reinforcement learning
With the increasing enrichment and development of the financial derivatives market, the frequency of transactions is also faster and faster. Due to human limitations, algorithms and automatic trading have recently become the focus of discussion. In this paper, we propose a bidirectional LSTM neural network based on an attention mechanism, which is based on two popular assets, gold and bitcoin. In terms of Feature Engineering, on the one hand, we add traditional technical factors, and at the same...

Keywords: network, bitcoin, neural network, algorithms,
OpenAI, la creadora de ChatGPT Sora, ha dado un paso importante para consolidarse en el mercado empresarial con la introduccin de nuevas funcionalidades en su API. Se trata de un lanzamiento que refuerza la seguridad el control administrativo, pero t...

Keywords: api , gpt, azure, chatgpt
Global biodiversity has sharply declined in recent decades, with North America experiencing 29 decrease in wild bird populations since 1970. Various factors drive this loss, including land use changes, resource exploitation, pollution, climate chang...

Keywords: classification, ml , neural network
OpenAI s new API features boost enterprise security and cost management, streamlining AI adoption across industries.The post OpenAI Introduces New Enterprise Grade Features for API Customers appeared first on Analytics India Magazine....

Keywords: test, api , openai, analytic
George Town University will establish digital twin lab led by two professors in the university 8217 s Center for Mathematics and Artificial Intelligence CMAI . The lab 8217 s focus will be on neuromorphic imaging and digital twins, and it will be ...

Keywords: test, mathematic, algorithms, artificial intelligence
Reliable prediction of vehicle trajectories at signalized intersections is crucial to urban traffic management and autonomous driving systems. However, it presents unique challenges, due to the complex roadway layout at intersections, involvement of traffic signal controls, and interactions among different types of road users. To address these issues, we present in this paper a novel model called Knowledge-Informed Generative Adversarial Network (KI-GAN), which integrates both traffic signal inf...

Keywords: network, generative
In the realm of aerospace design, achieving smooth curves is paramount, particularly when crafting objects such as airfoils. Generative Adversarial Network (GAN), a widely employed generative AI technique, has proven instrumental in synthesizing airfoil designs. However, a common limitation of GAN is the inherent lack of smoothness in the generated airfoil surfaces. To address this issue, we present a GAN model featuring a customized loss function built to produce seamlessly contoured airfoil de...

Keywords: network, ai , turing, generative,

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