Deep Tech Briefing #2: Nuclear Fusion Breakthrough by The Nobel Prize in Physics; New chip designs for the AI era; UK Space Industrial Plan; AI's Advancement in Fighting Pulmonary Fibrosis
An insider’s update on Deep Tech Ventures: Your dose of tech innovations, startups, exponential industries, policies, and market moves to stay ahead and capitalize on it.
Welcome to The Scenarionist’s Sunday Brief, where we discuss 5 crucial facts from the week shaping the Global Deep Tech landscape at the intersection of technology, policy, and markets.
Get practical insights from cutting-edge tech innovations to the most significant startups and capital moves to stay ahead, stay competitive, and seize new market opportunities.
In today's briefing, we delve into groundbreaking developments that promise to reshape the future. From DARPA-backed AI chip innovations and nuclear fusion breakthroughs aiming for clean energy to AI's revolution in drug discovery and organoids altering medicine to the UK's bold space ambitions. These cutting-edge advancements are not just reshaping industries; they're setting the stage for a future where the impossible becomes reality. Don't miss out on how these technologies are redefining what's possible and why staying informed means staying ahead.
New chip designs for the AI era
The world of artificial intelligence (AI) is about to undergo a radical transformation thanks to the development of a new type of chip designed specifically to handle AI workloads.
Research supported by DARPA aims to overcome these limitations through the funding of $18.6 million to EnCharge AI, a California-based company founded by Professor Naveen Verma from Princeton University.
The funding is a part of DARPA’s OPTIMA (Optimum Processing Technology Inside Memory Arrays) project, an initiative worth $78 million. This project aims to develop new chip models that can manage artificial intelligence applications using fewer computational resources, thereby saving energy and space.
The chip, which reinvents the physics of computation, promises to make powerful AI systems much more compact, faster, and energy-efficient compared to the advanced semiconductors currently in use.