#ai-chip-development

#ai-chip-development

Qualcomm is helping address one of the auto industry's most pressing needs - scaling intelligent vehicle technology to meet growing consumer demand for vehicles that are automated, connected and highly personalised.

Science Corporation is embarking on human trials for a biohybrid brain-computer interface, aiming to combine lab-grown neurons with electronics. Dr. Murat Günel will lead these efforts, focusing on the surgical placement of the first sensor into a patient's brain.

Meta is building these chips because buying AI hardware at scale is expensive, and relying too heavily on external suppliers leaves less room to shape that hardware to its own needs. Building more in-house could help the company keep AI costs in check.

Either way, I think the AI boom is alive and well, but with much of the short-term hype fading away, the big question is whether the long-term trajectory is still there and whether it makes sense for investors to hit the buy button now that the near-term is somewhat less hyped while the long-term is as exciting as ever.

The company, which is based in San Francisco and has an office in Pune, India, is targeting up to $35 million this year as it builds a royalty-driven on-device AI business. That growth has buoyed the company, which now has post-money valuation of between $270 million and $300 million, up from around $100 million in its 2022 Series B, Kheterpal said.