Highlights (1 Feb to 29 Feb 2024)
After a few hick-ups in internet issues and me having a bit of bad health bout which slowed me down, there are still so many amazing updates from Feb
- Connected with 19 Founders, 11 Angel Investors, 8 Institutional Investors and New/Emerging Fund Managers like myself, 9 Startup ecosystem service providers in US and Canada
- Got to connect with 3 founders and a few incubators in India
- It was amazing to attend my first ever meeting of
Keiretsu Forum Canada
- I got to attend
DCVC
's Deeptech Reception in Toronto and finally meet
Filip Stoj
and
Irfan Ahmad
in person
- Thanks to
James Burron, CAIA
I got to attend
CAASA - Canadian Association of Alternative Strategies & Assets
events
- The
Angel Squad
Toronto meetup dinner with
?? Rohan Nair
Daneal Charney
Kowsheek Mahmood
Dinar Ahmed
Claire Liang
Jessica Kishimoto
- Got to record 2 podcasts on topics of startup ecosystems, global economic conditions, what the future of Physical AI startups is that use a combination of AI and Hardware and how the adoption for these is going to shape the future. Watch the one I did with
Cogya
here: https://www.youtube.com/watch?v=IRJLnfCEsd8
- Delivered a workshop with
DMZ
on How to Talk to Investors.
- As a Mentor in
The Forum
attended the Semi Final pitch event for startups which was fantastic!
-
VC Lab
program was incredibly tough with the challenges but also much needed in my journey to starting a VC firm. It has been incredibly beneficial in understanding both real-world and technical behind-the-scenes challenges of starting and running a VC firm.
- I also got to attend the most wonderful gala event organized by
Punjabi Chamber of Commerce
in Toronto, which I've been a member of since its early days of inception. In the past few years this community has come such a long way and there's more to come which I am incredibly excited about being a part of.
What is Physical AI
Physical AI refers to the use of AI techniques to solve problems that involve direct interaction with the physical world, e.g., by observing the world through sensors or by modifying the world through actuators. It is the perfect implementation, allowing wide adoption of Hardware in Robotics, IoT, 3D Printing, XR, Wearables, and more! Here's how Large Models (LXMs) get deployed within Physical AI.
Large Language Model (LLM): Natural language interaction with devices using speech
Large Action Model (LAM): Real-time adaptive robotic autonomy - this is key towards achieving AGI and Ubiquitous Computing
Large Vision Model (LVM): Visual object detection, recognition, and tracking in robots, AVs, and surveillance
Large Multimodal Model (LMM): Contextualizing smart environments and wearables
Large Generative Model (LGeM): Synthetic 3D data generated for realistic simulations
Large Graph Model (LGM): Social interaction graphs and network connectivity in fleets
Large Reinforcement Learning Model (LRLM): Adaptive behavior to improve dynamic system efficiency
The applications for these LXMs will encompass what I call the 6D's of Deployment: Dirty environments, Dull repetitive tasks, Dangerous hazardous tasks, Domestic entertainment and hospitality, Dexterous precision motor skills, or, Dear expensive tasks, or a combination of 2 or more of these in various environments like this startup: https://www.potreroview.net/rapid-robotics-takes-care-of-tasks-not-ideal-for-human
Tips for Physical AI Founders
- Technical aspects of building better humanoids: https://www.kollmorgen.com/en-us/blogs/build-better-humanoid-lightweight-torque-dense-robot-ready-motion
even BMW is getting in on it: https://www.assemblymag.com/articles/98340-bmw-to-deploy-humanoid-robots
- Sectors that will be hugely impacted in the next few years in Canada and US where the combination of AI and Hardware will create new opportunities are Retail, Hospitality, Eldercare along with Agriculture. Immigration rules in Canada have changed for students which means that the gap in jobs that are usually taken by college students will be impacted and will need to be automated. For example, these robots deployed in grocery store to take over some retail tasks https://www.therobotreport.com/spartannash-deploys-simbe-tally-robots-60-more-stores
and these robots helping with indoor farming https://techcrunch.com/2024/02/14/hippo-harvest-series-b-fundraise
- Even Y Combinator
is starting to look for more AI powered Robotics/hardware focused startups to join its program: https://finance.yahoo.com/news/y-combinator-seeks-startups-robotics-140013774.html
- 5 new trends emerging in this space are Artificial Intelligence and machine learning, including generative AI, revolutionizing robot programming, enabling intuitive control through natural language and predictive maintenance through data analysis. Human-robot collaboration, advanced sensors, and smart grippers are driving the expansion of cobots, which support workers in tasks like heavy lifting and dangerous operations. Additionally, mobile manipulators automate material handling across industries, while digital twins optimize performance through virtual replicas, and humanoid robots offer flexible integration into various work environments https://www.thescxchange.com/articles/9630-ifr-says-five-trends-will-drive-new-robot-applications-in-2024
- Traditional B2B Robotics companies will start to see their growth level out unless they put AI into the mix: https://www.therobotreport.com/3-ways-abb-sees-ai-driving-robotics-innovation
Hardware Research, Startups, and Market
Hardware and Venture Capital Funding
Because of how AI is solving problems of adoption in the sector, Physical AI which combines AI and hardware will be a massive field. But once again, if investors make the mistake of investing in "Cool", it'll be a disaster for the ecosystem. Investing in Physical AI needs the kind of strategy that I've spent the last 7 years building so I always encourage those who want to invest in the sector to reach out to me and ask me how.
People are also starting to recognize that we need more technically adept people and operators within VC in the sectors that combine AI and Hardware https://tech.eu/2024/02/10/europe-needs-more-scientists-in-vc-to-become-a-deep-tech-powerhouse
as they have a much better way of judging founders and the technology in the early stages.