Machine Learning & Artificial Intelligence

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

Edge Impulse is the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises.

OmniML accelerates the design and deployment of high-performance, hardware-aware AI across all devices.

Deeplite provides an AI-Driven Optimizer to make Deep Neural Networks faster, smaller, energy-efficient from cloud to edge computing.

Hailo have developed the best performing AI processors for edge devices. Our AI accelerator chips are used for Smart City & Homes, machine learning, automotive AI, retail AI and smart factory Industry 4.0 solutions.

Automatically Build Machine Learning Solutions with Sensor Data

Groq offers comprehensive end-to-end acceleration solutions from scalable, ultra low latency systems to generalized software. We improve results by orders of

At Tenstorrent, we build AI processors for machine learning workloads of today and tomorrow.

THE NEXT BIG THING IN BIG DATA Speedata’s Analytics Processing Unit (APU) was developed from the ground-up to optimize Big Data & Analytics workloads. Speedata delivers complete hardware and software solutions, with cutting-edge chip architecture to optimize performance efficiency and scale, providing seamless migration for a wide variety of software frameworks.

Cornami is a High-Performance Computing company that takes compute performance to extraordinary levels while greatly reducing power & latency

JOURNEY TOGETHER CARIAD and Horizon Robotics partnership toward a safer and a better life Efficient Computing for Smart Mobility Discover Horizon Robotics Automotive Computing Solutions. Open. Scalable. Low Energy. Efficient Computing for Smart Mobility Discover Horizon Robotics Automotive Computing Solutions. Open. Scalable. Low Energy. Efficient Performance at Your Fingertips Processors Journey Processor Roadmap Journey 2 […]

Leading the evolution of automobility from advanced driver-assistance systems to autonomous driving through world-renowned expertise in artificial intelligence.

Hailo have developed the best performing AI processors for edge devices. Our AI accelerator chips are used for Smart City & Homes, machine learning, automotive AI, retail AI and smart factory Industry 4.0 solutions.

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Unleash the potential of AI with new edge computing hardware & software platforms that are more efficient, more flexible, more accurate & more cost effective. Learn more here!

Automates complex fulfillment processes and optimizes operations, accelerating business growth through AI-enabled robotic automation.

寒武纪聚焦端云一体、端云融合的智能新生态，致力打造各类智能云服务器、智能终端以及智能机器人的核心处理器芯片，让机器更好地理解和服务人类

深圳云天励飞技术股份有限公司成立于2014年8月，是国内第一家兼具AI算法平台、AI芯片平台、大数据平台等AI关键技术平台的独角兽企业。公司致力于以智能化技术改造物理世界，依托一流的国际化专家团队和“全栈式”AI技术平台，打造了面向公共安全、新商业、AIoT、智能超算等领域的产品和解决方案，广泛应用于深圳、北京、上海、杭州、成都、青岛及东南亚等近100个城市和地区。

Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines

Syntiant's ultra-low-power deep learning processors enable Always-On Voice (AOV) control for most any battery-powered device, from earbuds to laptops, at near-zero power.

Arm's solutions-based approach provides all the AI and machine learning technologies, tools and services needed to ensure speed and success for your AI project.

Cerebras CS-2 is the leader in AI.

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Pre-trained foundation models. The most accurate models, deployed anywhere, powering better decisions, to save money and fuel growth.

Intel offers development and deployment tools for the entire AI workflow, alongside a range of hardware unified by the oneAPI programming model.

NVIDIA invents the GPU, creates the largest gaming platform, powers the world’s fastest supercomputer, and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

ALEPH ALPHA description

Hume AI provides the APIs, machine learning models, and globally diverse data needed to build empathic technology that can learn from human expression.

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