As a deep tech venture investor and MARL Accelerator managing partner, I have examined over five thousand firms and seen cutting-edge ideas. The ‘80s and ’90s were filled with science fiction about things that are now mainstream. We can only conceive how these technologies will shape and enhance our world. Businesses will rapidly adopt AI and ML by 2030.
I’ve followed OpenAI’s ChatGPT and Google’s BARD for over a decade.
A few cutting-edge digital companies may become dec acorns (businesses valued at over $100 billion) before the decade ends. I appreciate none of them. I wish I had money to invest years ago.
A few cutting-edge digital companies may become dec acorns (businesses valued at over $100 billion) before the decade ends. I appreciate none of them. I wish I had money to invest years ago.
Hawkins
Paris-based health tech company Owkin is developing an AI model alongside top academics and data scientists. Researchers hope to find new ways to diagnose diseases and provide personalized treatments by analyzing data from millions of people.
Because we rely on doctors, misdiagnosis and treatment may occur. I care about this since I, like many others, have been misdiagnosed several times. The Leapfrog Group, a national healthcare safety monitor, revealed that hospital diagnostic errors kill 40,000 and 80,000 Americans annually.
Owkin has been leading healthcare diagnostics research since the mid-2000s.
Owkin’s medical research platform, like any new technology, has perks and downsides. Owkin’s platform may yield biased or incomplete models despite their best efforts to use diverse data. To utilize Owkin’s platform, data protection, security, compliance, and legal and ethical considerations must be resolved. Owkin must be transparent and ethical to handle patient consent and transparency issues while following various standards.
Motional
Boston-based Motional launched the first robotaxi testing program. Motional will safely perform 100,000 autonomous travels by 2021.
These findings persuaded Uber to sign a 10-year contract with the business to provide a fully autonomous robotaxi service in Las Vegas. This follows Uber Eats’ successful Greater Los Angeles autonomous delivery experiment.
Indian kids thought self-driving vehicles were science fiction. Driverless automobiles were anticipated to come in the early 2000s. Technology still needs to be quite there. It’s probably the car’s processing power. 5G may change this.
Motional seeks strategic partnerships after proving its feasibility. They change business. Before Motional is widely accepted, various problems must be solved. Motional’s technology is safe, but safety is a priority. Cyberattacks also threaten autonomous automobiles.
Motional automobiles still need to be more costly and unaffordable for most consumers. Finally, moral questions include who should pay damages when a driverless car is at fault. Motional has immense potential, but it must overcome certain key constraints before being widely used.
Nexar
New York startup Nexar is also working on self-driving cars. The dash cam market leader wants to create the first “safe driving network.” Connecting all dash cameras on the road will create a hive mind to offer a single source of road happenings.
So the car can see what the car ahead and behind me see in a “hive mind.” Car network sensors concurrently communicate and receive data from a cloud. Nexar will flourish in New York and San Francisco, where Teslas freeze.
Nexar’s autonomous driving technology is still under development. Nexar’s dash cameras can detect danger, but they can’t drive. The technology may need to be fixed and pricey. Before utilizing it, verify local laws since its legality is still being determined.
