Neurotechnology developers propose fully invasive brain-computer interfaces leveraging Neuropixel probes to record single-neuron activity and deliver precise neurostimulation, forming bidirectional feedback loops that augment cognition. This approach shifts core data processing to biological networks, reduces AI’s energy and infrastructure demands, and preserves human agency amid widespread AI deployment.

Key points

• Neuropixel probes capture single-neuron action potentials with 5,000 sites at 20–30 µm spatial and 33 µs temporal resolution.
• Machine-learning decoders translate high-dimensional neural signals into system commands in real time.
• Closed-loop neurostimulation delivers targeted pulses to encode information and sustain bidirectional feedback for cognitive augmentation.

Why it matters: Invasive BCIs leverage neural computation to slash energy use and preserve human agency in advanced cognitive tasks.

Consegic Business Intelligence delivers an in-depth market assessment of the North America AI in video surveillance sector, detailing its current USD 2.5B valuation, projected expansion to USD 15B by 2032, and a 25% CAGR. Leveraging trend analysis, competitive landscapes, and segment forecasts, this report outlines drivers such as predictive analytics, IoT integration, and edge AI, offering strategic insights for stakeholders in security, infrastructure, and smart city development.

Key points

• Market value grows from USD 2.5 billion in 2024 to USD 15 billion by 2032 at a 25% CAGR.
• Edge AI integration deploys on-camera inferencing of computer vision and deep learning models for real-time anomaly detection.
• Cloud-native analytics platforms and professional services drive scalable deployment, multi-sensor fusion, and predictive maintenance across sectors.

Why it matters: This market’s rapid expansion underscores AI’s shift from reactive monitoring to proactive, programmable security systems, delivering superior threat detection and operational intelligence at scale.

Consegic Business Intelligence projects the North America GPU-as-a-Service market will expand at a 26.9% CAGR, rising from USD 1.15 billion in 2024 to USD 7.60 billion by 2032, driven by surging AI, ML, and rendering workloads leveraging on-demand cloud GPU resources.

Key points

• Market value rises from USD 1.15 billion in 2024 to USD 7.60 billion by 2032 at a 26.9% CAGR.
• Surging AI/ML, rendering workloads and tensor-core enhancements drive demand for cloud-based GPU virtualization.
• Hybrid/multi-cloud deployments, specialized GPU instances, and edge integration shape future service offerings.

Why it matters: The shift to GPUaaS accelerates AI-driven innovation by lowering hardware barriers and costs for scalable, high-performance computing.