[/fusion_fontawesome]<a style=”color: #fff; text-decoration: none;” href=”https://brainchip.com/communication-platform-webinar-registration/”><strong style=”text-decoration: underline;”>Webinar REPLAY</strong>: Watch for a look at our <strong style=”text-decoration: none;”>Communication Reference Platform</strong>: AI-powered waveform and modulation classification. </a>” content_alignment_medium=”” content_alignment_small=”” content_alignment=”” hide_on_mobile=””small-visibility,medium-visibility,large-visibility”” sticky_display=””normal,sticky”” class=””maintainceicons”” id=”””” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” fusion_font_family_text_font=”” fusion_font_variant_text_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” animation_type=”” animation_direction=””left”” animation_color=”””” animation_speed=””0.3″” animation_delay=””0″” animation_offset=”” logics=””]Webinar REPLAY: Watch for a look at our Communication Reference Platform: AI-powered waveform and modulation classification.
BrainChip CEO Sean Hehir sat down with John Furrier for theCUBE + NYSE Wired’s Physical AI & Robotics series, filmed on the floor of the New York Stock Exchange. The conversation covers how neuromorphic, event-based compute changes what’s possible at the edge, BrainChip’s dual IP and silicon business model, the company’s work with IBM, and live use cases spanning defense, wearables, and space.
Stay on the Cutting Edge with Our Newsletter
Awards
The Akida GenAI FPGA is a hardware development target to install and exercise Akida GenAI IP core configurations to execute neural models for validation and system integration for system and chip designers. The Akida GenAI FPGA platform supports BrainChip’s GenAI AI neural processing acceleration that is scalable, configurable and programmable to support TENNsTM and State-Space neural network models for Large Language Models.
Be among the first to access BrainChip’s advanced AkidaNet/TENNs models, built for efficient, low-power AI at the edge. Models include audio denoising, automatic speech recognition, and language models—including a compact LLM and LLM with RAG for intelligent, real-time applications.
Download the brochure to understand the architecture, classification capabilities, and real-world applications.
Download the brochure to understand the architecture, classification capabilities, and real-world applications.
Secure early access to the AkidaTag Platform and start building always-on AI into your next device.
Download the complete AkidaTag Brochure and learn how the platform enables always-on edge AI in smart devices.
