Category: Uncategorized

Cinco años al pie del cañón en la industria tecnológica, dado el acelerado ritmo de desarrollo y evolución, son un mundo. Jay Upchurch, vicepresidente ejecutivo y Chief Technology Officer (CIO, por sus siglas en inglés) de SAS desde el pasado 2019, es gran conocedor de ello. “En el último lustro han cambiado muchas cuestiones. Cuando… Read more

Stochastic optimization problems involve making decisions in environments with uncertainty. This uncertainty can arise from various sources, such as sensor noise, system disturbances, or unpredictable external factors. It can real-time control and planning in robotics and autonomy, where computational efficiency is crucial for handling complex dynamics and cost functions in ever-changing environments. The core problem… Read more

Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters. However, they pose major challenges in computational resources and memory usage. Even advanced GPUs struggle to handle models with trillions of parameters,… Read more

With the success of LLMs in various tasks, search engines have begun using generative methods to provide accurate answers with in-line citations to user queries. However, generating reliable and attributable answers, especially in open-ended information-seeking scenarios, poses challenges due to the complexity of questions and the broad scope of candidate-attributed answers. Existing methods typically focus… Read more

Automatic speech recognition (ASR) has become a crucial area in artificial intelligence, focusing on the ability to transcribe spoken language into text. ASR technology is widely used in various applications such as virtual assistants, real-time transcription, and voice-activated systems. These systems are integral to how users interact with technology, providing hands-free operation and improving accessibility.… Read more

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. Researchers have been exploring advanced optimization techniques to make this process more efficient. Traditionally, adaptive optimizers such as Adam have been used to speed training by adjusting… Read more

Workday has joined the ranks of tech vendors scrambling to roll out their own agentic artificial intelligence (AI) with its announcement Tuesday of a new AI platform and several specialized AI agents. At its Workday Rising event, the cloud-based HR and financial management company unveiled Illuminate, its next-generation AI platform, as well as four new… Read more

With the threat that quantum computers will break current encryption methods “looming on the horizon,” the adoption of post-quantum cryptography is now a critical priority, particularly for those industries that handle sensitive data, a report released Tuesday revealed. The current and future state of quantum are among six trends contained in Info-Tech Research Group’s Tech… Read more

Recent advancements in large language models (LLMs) have generated enthusiasm about their potential to accelerate scientific innovation. Many studies have proposed research agents that can autonomously generate and validate new ideas. However, no research has yet demonstrated that LLMs can take the critical first step of generating novel, expert-level ideas—let alone conduct the entire research… Read more

If you try to figure out how OpenAI’s o1 models solve problems, you might get a nastygram. Read more