The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

Speeding AI With Co-Processors

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

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Cadence Design Launches Two New Platforms For Massive Chip Designs

Cadence has updated its platforms that supports chip design teams, offering more than 2X more capacity and 1.5X faster performance than the previous generation and can support chips up to 48 billion gates. Designing and testing chips is constantly becoming more...

NVIDIA Completely Re-Imagines The Data Center For AI

It is all about tighter integration with memory, CPUs, and accelerators for trillion-parameter AI models. For 12 years, NVIDIA has used its Spring GPU Technology Conference (GTC) to amaze its customers and investors with new GPUs for graphics and application...

Synopsys Opens The Next Chapter Of AI Tools For Chip Design And Manufacturing

The EDA leader has generated over $500M to date in AI tools and technologies. Now a new data analytics solution applies data management, curation, and analysis across the entire pipeline of chip creation. Synopsys was the first EDA company to apply AI to chip design,...

The Snapdragon AI Journey

Preparing for the next leap ahead. Qualcomm Technologies, Inc. (QTI) has been researching, developing, and shipping AI acceleration on their Snapdragon processors for the past decade. QTI’s state-of-the-art AI technology is born from smartphones. It leverages its...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....

HotChips Preview: Nvidia Scales AI Beyond The Data Center

The annual HotChips conference starts this Sunday, Aug. 24, in San Francisco. Nvidia is scheduled to present six sessions covering topics of interest to AI data center users and operators and will make several key announcements I’ll cover in this article. (Like most...

RISC-V Startup Esperanto Technologies Samples First AI Silicon

Select customers are now evaluating the chip; early results look promising across a broad range of AI workloads Esperanto has been talking about their edge AI chips for several years, and now the company can demonstrate working AI acceleration for image, language, and...

Ventana Micro Brings RISC-V Into The Data Center

Company hopes to match or even exceed x86 and Arm performance for data center infrastructure and applications. The data center is becoming more heterogeneous in terms of customized processors, accelerating new workloads across the infrastructure to optimize data...

NVIDIA Dominates A Near-Empty Field In AI Benchmarks Again

The Qualcomm AI chip also looks pretty efficient, but where is everyone else? MLCommons, the not-for-profit organization that manages the AI benchmarks collectively known as MLPerf, has just released the V1.0 inference results. While NVIDIA once again dominated the...

A Look At Graphcore’s AI Software

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...