CPU

“스카이넷의 등장을 막는 방법은 AI를 신중하게 관리하고 규제하는 것”

인공지능(AI)의 위험을 사람들에게 가장 효과적으로 설득한 주인공을 꼽으라면, 아마도 영화 '터미네이터(1984)'의 AI 시스템 '스카이넷(Skynet)'을 빼놓을 수는 없을 것이다.   실제로 최근 석학이나 과학자들이 초인공지능(AGI)의 등장이나 이로 인한 인류 멸망에 대한 메시지를 내놓고 이를 사람들이 자연스럽게 받아들이며,...

엔비디아, 차세대 AI 슈퍼칩 ‘GH200’ 공개…”AI 시간·비용 대폭 절감”

GPU로 인공지능(AI) 칩 시장을 장악하고 있는 엔비디아가 고속 대용량 메모리를 탑재한 차세대 AI 칩을 공개했다. 기존 GPU를 뛰어넘는 성능으로 시간과 비용을 절약, 타 업체와의 격차를 더욱 벌리겠다는 의도다. 엔비디아는 8일(현지시각) 미국 LA에서 열린 ‘시그래프 2023’...

KT-kt Cloud-Samsung Electronics Sign MOU for Next-Generation Memory Technology Cooperation

KT (Acting Representative Park Jong-wook) announced on the twenty ninth that it had signed an MOU with kt Cloud and Samsung Electronics for 'Technical Cooperation in Next-Generation Memory to Realize a Korean-Style AI Full-Stack'. KT...

Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...

For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...

Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...

For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...

Intel unveils supercomputers with GPUs and Nvidia with CPUs

Intel is attracting attention by constructing a supercomputer equipped with its own GPU and Nvidia's own developed CPU. Each develops chips in one another's area of ​​expertise, and Nvidia heralds full-scale competition within the CPU...

Announcing PyCaret 3.0 — An open-source, low-code machine learning library in Python In this text: Introduction 📈 Stable Time Series Forecasting Module 💻 Object Oriented API 📊 More options...

Exploring the Latest Enhancements and Features of PyCaret 3.0# print pipeline stepsprint(exp1.pipeline.steps)print(exp2.pipeline.steps)PyCaret 2 can mechanically log experiments using MLflow . While it continues to be the default, there are more options for experiment logging...

Recent posts

Popular categories

ASK ANA