Mathematics in the Age of AI
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Current AI tools, when combined with formal verification and modern collaboration platforms, are enabling new ways to do mathematics at scale, with increasingly broad collaborations between professional mathematicians, other scientists, members of the public, and AI tools. Yet these tools continue to have only a modest impact on more traditional mathematical objectives, such as making progress on individual highly difficult problems. In this lecture we survey the recent achievements of these new paradigms, as well as their continuing limitations.
Category: robotics/AI – Page 37
Emil Kendziorra | Cryopreservation, Best Chance of Not Dying, Longevity & AI
Dr. Emil Kendziorra is the founder & CEO of Tomorrow Bio, the world’s best human cryopreservation company.
00:35 — Best sci-fi.
01:35 — What Tomorrow Bio is.
03:01 — How much it costs.
07:13 — The two big open questions.
09:11 — How we actually freeze people (no ice crystals)
13:21 — How many people will actually do this?
16:11 — Uploading, copies, and “is it still me?”
18:53 — Does a soul exist?
21:17 — Emil’s actual longevity protocol.
26:33 — Will AI solve aging in our lifetime?
28:37 — Is AI net good for society?
30:49 — Why this company is different.
33:08 — Quickfire questions.
35:29 — The ultimate question.
Industrial IoT Lead Times Hit 52 Weeks While Everyone Calls The Shortage Over
Industrial IoT lead times for advanced microcontrollers and sensor fusion chips are stretching to 24–52 weeks in 2026, even as the general narrative says the chip shortage ended. Foundries are prioritizing high-margin AI chips over the mature-node parts that IIoT sensors and gateways depend on, and procurement teams still budgeting on old lead-time assumptions are about to get caught out.
Industrial IoT lead times are quietly becoming a two-tier problem, and most procurement calendars haven’t caught up. Advanced 32-bit microcontrollers and high-current power management chips now carry lead times of up to 52 weeks, while industrial-grade IoT components broadly run 24 to 36 weeks, according to Utmel’s 2026 semiconductor availability forecast. Meanwhile, commodity 8-bit MCUs have fallen back to a manageable 9 to 10 weeks. The gap between those two numbers is the real story.
Many industry observers claim the chip shortage is completely over, which is a common misconception, per Utmel’s analysis. What actually happened is a split: mature 8-bit architectures stabilized while advanced-node, AI-capable, and high-performance industrial families stayed tight. IoT chips and sensor fusion processors specifically carry lead times of 18 to 30 weeks depending on foundry node and packaging complexity, and ruggedized, high-reliability components face even tighter supply. Industrial IoT lead times didn’t shrink alongside the broader semiconductor recovery narrative; they diverged from it.
Akita eyes AI data center that could become Japan’s largest
A plan is underway to build an artificial intelligence data center in Akita Prefecture that could become Japan’s largest.
The plan is being led by S2, a server management firm based in the city of Akita, and U.S. startup Bitgrit, with the total construction cost estimated at ¥2 trillion ($12.5 billion).
The firms are cooperating with Akita Prefecture and the city of Akita with an aim to make the data center a hub to attract AI-related businesses and human resources.
