tag: Synaptics

Defending Against AI-Enabled Data Fusion
By Ann Mutschler - 02 Jul, 2026 - Comments: 0

Key Takeaways:  By fusing vast amounts of white-, gray-, and black-market data, attackers can build a digital twin of a person and their environment, making targeted attacks far easier.  The intersection of AI and cybersecurity is the data itself. Trustworthy fusion depends on authenticated, integrity‑checked inputs and verifiable, attributable AI outputs.   Defending a... » read more

Three Things DSP Adoption Can Teach Us About Edge AI
By John Weil - 02 Jul, 2026 - Comments: 0

Edge AI is reaching a familiar inflection point, much like Digital Signal Processors (DSPs) did in the 1990s, with adoption challenges including the need for powerful specialized hardware, fragmented tooling, and significant complexity for developers. DSPs gained traction because they delivered substantially better power efficiency and performance for workloads that general-purpose processors h... » read more

Fine-Tuning Humanoid Vision And Movement
By Liz Allan - 02 Jul, 2026 - Comments: 0

Key Takeaways: Humanoids and autonomous vehicles share a zonal architecture, a need for FuSa, and a reliance on radar technology to see around corners and through objects. Multiple cameras with different fidelities can better replicate a human’s field of view; for example, some can provide wide fields of view at low grade, low fidelity, while others strive for infinite fidelity in a... » read more

Connectivity and Compute in Next-Generation Edge Devices
By Synaptics - 01 Jul, 2026 - Comments: 0

AI-native edge devices are changing IoT by combining AI, connectivity, and compute on a single platform. This white paper explains how Synaptics SYN765x integrates Wi-Fi 7, local AI processing, and intelligent sensing to reduce latency, cut costs, improve privacy, and speed development of next-generation connected devices. Read more here. » read more

Chip Industry Week In Review
By The SE Staff - 26 Jun, 2026 - Comments: 0

IBM unveiled a 7Å transistor architecture that uses staggered nanosheet transistors stacked on a precisely beveled angle, almost like tiles on a roof. That allows more transistors to be crammed into a given area, boosting performance by 50% or power efficiency by up to 70%. Perhaps even more important, IBM claims a 40% improvement in SRAM scaling, which is orders of magnitude faster and lower ... » read more

Wi-Fi Flies Higher As Edge AI Build-Out Takes Root
By Ed Sperling - 15 Jun, 2026 - Comments: 0

Key Takeaways: Wi-Fi 7 is becoming an essential technology for edge AI, and subequent demands for even better reliability will grow as the edge build-out takes shape. Edge computing is based on the assumption that more data will be processed and stored locally, which will help reduce data leakage and theft. The big challenge ahead will be orchestrating data movement across different ... » read more

Keeping Security Algorithms Current Is Getting Harder
By Ann Mutschler - 04 Jun, 2026 - Comments: 0

Key Takeaways: Keeping security algorithms current is now a lifecycle challenge that spans chip design, manufacturing, deployment, and long-term maintenance across the supply chain. To stay ahead of emerging threats — especially post-quantum risks — hardware must be built with cryptographic agility, secure roots of trust, and reliable update mechanisms from the start. The bigge... » read more

AI-Defined Vehicles Increase Pressure On Auto Ethernet Reliability
By Liz Allan - 04 Jun, 2026 - Comments: 0

Key Takeaways: For AI-defined vehicles and onboard agentic AI, Automotive Ethernet provides high bandwidth for sensor data fusion, TSN ensures low latency and synchronization for real-time decisions, and MACsec secures the data link. Time-sensitive networking (TSN) is an essential protocol for ensuring 10BASE-T1S delivers data to where it needs to go on time. Still, it becomes less esse... » read more

The Edge LLM Offload Story
By Karthikeyan Shanmuga Vadivel - 04 Jun, 2026 - Comments: 0

By Karthikeyan Shanmuga Vadivel and Sauryadeep Pal Developers and system architects today face a growing demand to enable large language model variants on device. They are facing pressure to support transformer-capable models on constrained devices to ensure data privacy, eliminate cloud API charges, and provide offline reliability. On-device execution is also becoming a necessity to meet st... » read more

Connectivity and Compute in Next-Gen Edge Devices
By Synaptics - 03 Jun, 2026 - Comments: 0

AI-native Edge devices are reshaping IoT by converging AI, connectivity and compute into a single platform. This paper highlights how Synaptics SYN765x brings Wi-Fi 7, local AI processing and intelligent sensing together to reduce latency, lower costs, enhance privacy and accelerate next-generation connected device design. Read more here. » read more

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