FermiNet: Quantum physics and chemistry from first principles
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
We present a Positional Description Scheme (PDS) tailored for digit sequences, integrating placeholder value information for each digit. Given the structural limitations of subword tokenization algorithms, language models encounter critical Text Normalization (TN) challenges when handling numerical tasks. Our schema addresses this challenge through straightforward pre-processing, preserving the model architecture while significantly simplifying number normalization, …
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Let’s face it: Serving AI foundation models such as large language models (LLMs) can be expensive. Between the need for hardware accelerators to achieve lower latency and the fact that these accelerators are typically not efficiently utilized, organizations need an AI platform that can serve LLMs at scale while minimizing the cost per token. Through …
Read more “Maximize your LLM serving throughput for GPUs on GKE — a practical guide”
A deep technology conference for processor and system architects from industry and academia has become a key forum for the trillion-dollar data center computing market. At Hot Chips 2024 next week, senior NVIDIA engineers will present the latest advancements powering the NVIDIA Blackwell platform, plus research on liquid cooling for data centers and AI agents …
“I am not terminating my campaign, I am simply suspending it,” said Robert F. Kennedy Jr., before he endorsed Donald Trump.
A team of researchers has created a digital pathology platform based on artificial intelligence. The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyze digitized tissue samples on the computer for lung tumors more quickly and accurately …
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Linear regression models are foundational in machine learning. Merely fitting a straight line and reading the coefficient tells a lot. But how do we extract and interpret the coefficients from these models to understand their impact on predicted outcomes? This post will demonstrate how one can interpret coefficients by exploring various scenarios. We’ll delve into …
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Introduction Statistical analysis is important in data science. It helps us understand data better. NumPy is a key Python library for numerical operations. It simplifies and speeds up this process. In this article, we will explore several functions for basic statistical analysis offered by NumPy. NumPy is a Python library for numerical computing. It helps …
In the effort to automate as many processes as possible, companies resort to various solutions powered by modern technology. We’ve written about Enterprise Resource Planning systems and automated contact centers lately. Internet bots, or simply bots, may be the best-known form of automation in customer communications. Gartner once predicted that by 2020, more than 50% …
Read more “Types of Chatbots: An Overview for Business People”