Next Generation AI: Transitioning Inference from the Cloud to the Edge


Deploying AI inference at the edge—on smartphones, appliances, industrial devices, and vehicles—promises faster, private, and energy-efficient intelligence. Expedera’s packet-based NPU architecture delivers up to 90% utilization and dramatic reductions in memory movement compared to conventional approaches, enabling next-generation real-time AI capabilities. This white paper examines tech... » read more

Startup Tips To Get From Seed Funding To Series A, B, C


Startups are often created by experienced engineers who figure out how to solve a technical problem they are dealing with at work, or by PhD candidates in research labs before they have even started their first full-time job. Either way, getting seed money to the tune of a few million dollars is relatively easy compared to securing further rounds of funding and achieving the company’s exit go... » read more

AI: Driving the Way to Safer and Smarter Cars


As autonomous vehicles have only begun to appear on limited public roads, it has become clear that achieving widespread adoption will take longer than early predictions suggested. With Level 3 systems in place, the road ahead leads to full autonomy and Level 5 self-driving. However, it’s going to be a long climb. Much of the technology that got the industry to Level 3 will not scale in all th... » read more

Complex Mix Of Processors At The Edge


With AI changing so fast, it’s a juggle for companies to ensure they can deliver the best performance now while also future-proofing for unknown AI models or a completely different approach to training and inference that may emerge. There are a slew of options for high-end and budget phones, hyperscalers, and low-cost, low-power edge devices, and while GPUs keep making headlines, many designe... » read more

Re-Architecting AI For Power


The industry is becoming increasingly concerned about the amount of power being consumed by AI, but there is no simple solution to the problem. It requires a deep understanding of the application, the software and hardware architectures at both the semiconductor and system levels, and how all of this is designed and implemented. Each piece plays a role in the total power consumed and the utilit... » read more

Reliable Training Data Paramount To AI Model Success


AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Workload-Specific Hardware Accelerators


Workload-specific hardware accelerators are becoming essential in large data centers for two reasons. One is that general-purpose processing elements cannot keep up with the workload demands or latency requirements. The second is that they need to be extremely efficient due to limited electricity from the grid and the high cost of cooling these devices. Sharad Chole, chief scientist and co-foun... » read more

Transformers At The Edge: Efficient LLM Deployment


Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid the foundation for Large Language Models (LLMs) and Video Language Models (VLMs), fueling a wave of productization across the industry. A defining milestone was the public launch of ChatGPT in... » read more

Can Today’s Processor Architectures Be More Efficient?


For years, processors focused on performance, and that performance had little accountability to anything else. Performance still matters, but now it must be accountable to power. If small gains in performance result in disproportionate power gains, designers may need to discard such improvements in favor of more power-efficient ones. Although current architectures undergo a steady cadence of... » read more

Semiconductor Value Chain With A Focus On IP Providers


By Global Semiconductor Alliance (GSA) The semiconductor industry operates within a complex and rapidly evolving ecosystem driven by continuous innovation. Central to this ecosystem is the semiconductor value chain, which includes several key stages: chip design, wafer fabrication, final assembly, and raw material sourcing. Each stage is crucial to the production and functionality of semicon... » read more

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