Engineers often use vision-language models to produce new designs, such as airplane or automobile components. To simulate how ...
As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...
Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...
Just when you thought the pace of change of AI models couldn’t get any faster, it accelerates yet again. In the popular news media, the introduction of DeepSeek in January 2025 created a moment that ...
The global AI video analytics market is on track to reach $17 billion by 2031, growing at over 22% annually. Behind the numbers is a technological shift so fundamental that it is changing not just how ...
In recent years, foundation Vision-Language Models (VLMs), such as CLIP [1], which empower zero-shot transfer to a wide variety of domains without fine-tuning, have led to a significant shift in ...
MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...
CV75S SoCs Add CVflow® 3.0 AI Engine, USB 3.2 Connectivity and Dual Arm® A76 CPUs for Significantly Higher Performance in Security Cameras, Video Conferencing and Robotics SANTA CLARA, Calif., April ...
Imagine a world where your devices not only see but truly understand what they’re looking at—whether it’s reading a document, tracking where someone’s gaze lands, or answering questions about a video.