Caravan of llamas — a serial architecture
SYSTEMS
-

January 2024 Industrial IoT Cybersecurity Events Guide
By
–
January 2024 Industrial IoT & ICS Cybersecurity Events >> https://
ow.ly/lWsO50QkLxF #CES2024 #WEF24 #AmericasEnergySummit #IotIndiaExpo #POWERGEN24 #NEPCONJAPAN #OfficialCyberSecuritySummit #iiot #cybersecurity @ingligouri @MHiesboeck @FogorosAndrei -
Value of Good Abstractions and Reliable Infrastructure
By
–
easy to underappreciate the value of good abstractions and reliable infrastructure
-

Edge Architecture Reduces Latency Through Local Data Processing
By
–
An Edge architecture makes it possible to process data locally, feed it into the process quickly, and reduce latency times. Find out how on @DeltalogiX
> https://
bit.ly/3veRcyp Subscribe to Newsletters > https://
bit.ly/3pick1U via @antgrasso #DeltalogixAdvisor #EdgeComputing -
European Virtual Human Twins Initiative Launches Digital Future
By
–
Virtual Human Twins: Launch of the European Virtual Human Twins Initiative | Shaping Europe’s digital future https://
europa.eu/!79Dc7j
#digital #digitaleurope #innovation #technology #digitaltwin @DigitalEU @ArturHabant @elaniaz @enricomolinari @RagusoSergio @BetaMoroney @enilev -
Distributed LLM Virus Compromises IoT Device, Leaks Game Data
By
–
2026: Distributed LLM virus leapfrogs to a Smart Humidifier in a Rockstar dev's home and leaks GTA7
-
Neural Network Resilience Through Summation and Dense Connectivity
By
–
I follow the summations and network connectivity to understand resilience to information loss.
When each output is the sum over a large set of input computations, which themselves densely cross-connect in previous layers — I just expect information to be really resilient to -
Computational Feasibility of Brain Simulation with Crow and Dog Neural Networks
By
–
I used crows and dogs because they both have about 2 billion neurons (a few trillion synapses), which will soon be within reach, computationally.
-
Batch Size Constraints: GPU SM Saturation and Memory Limits
By
–
For a large enough batch size on a given expert, you'll either saturate the SMs or run out of memory
