Dimitris

Mechanical engineer, co-founder of Delta Pi Systems

[Dimitris @DeltaPiSystems]

@dhh and all those billions of euros weren't spent solely by big software companies, but from SME companies that tried simply to comply with the regulations. I have even heard stories of one-person lawyers or doctors trying to deal with GDPR complexity. GDPR increased cost of services

[Dimitris @DeltaPiSystems]

Sparse Jacobians can reduce model evaluations. GAEA groups compatible columns so several derivatives can be recovered together. https://t.co/2klQjQfICr #Numerics

[Dimitris @DeltaPiSystems]

Optimization software should not silently ignore physical bounds. GAEA’s optimize package refuses methods that cannot honor a declared domain. https://t.co/DStaaXY5C5 #Optimization

[Dimitris @DeltaPiSystems]

Fixed thresholds can miss interactions among quality measurements. An SVM instead learns a decision boundary across multiple features. https://t.co/BV0ca2e6CF #MachineLearning

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[Dimitris @DeltaPiSystems]

PDE-constrained optimization couples a physical model with an objective: for example, boundary conditions can be adjusted to stabilize furnace temperature. https://t.co/pt4dhU7X6m #ProcessControl

[Dimitris @DeltaPiSystems]

Virtual commissioning tests PLC logic against simulated plant behavior before production begins. Faults, interlocks and restart sequences can be exercised repeatedly without risking equipment or material. https://t.co/gZTzbkBJQf #PLC

[Dimitris @DeltaPiSystems]

Rates describe what is happening now; integrals describe what accumulated over time. GAEA applies this directly to sampled engineering data. https://t.co/yvV1Jm0Fyt #NumericalMethods

[Dimitris @DeltaPiSystems]

SQP tackles constrained nonlinear optimization through successive quadratic subproblems with linearized constraints. https://t.co/Y0MSqdwoIb #Optimization

[Dimitris @DeltaPiSystems]

A digital twin can expose model confidence and operating limits, not just predictions. That distinction matters when engineers must decide whether a model is trustworthy at the plant’s current operating point. https://t.co/vCHOdXwaFr #DigitalTwin

[Dimitris @DeltaPiSystems]

Safe startup is a sequence, not a single command. Delta Pi Systems’ plant control software uses interlocks and automated route startup/shutdown to coordinate equipment and operating conditions. https://t.co/IBTzo4q4LL #ProcessControl

[Dimitris @DeltaPiSystems]

MES connects ERP planning with real-time shop-floor operations, linking production data, workflows and plant equipment in one operational layer. https://t.co/UZDxOtcmuM #MES #IndustrialAutomation

[Dimitris @DeltaPiSystems]

A bilinear restoring force can model contact in machinery: as obstacle stiffness rises, the response becomes strongly nonlinear and can approach impact behavior. https://t.co/qGRd3iZglX #NonlinearDynamics #Simulation

[Dimitris @DeltaPiSystems]

A smooth interpolation is not always a physically sound one. For monotonic calibration data, PCHIP can preserve the measured trend without spline overshoot. https://t.co/AFa94WrZ3i #ProcessModeling

[Dimitris @DeltaPiSystems]

In symbolic computation, unknown can be the correct answer. GAEA’s Symbolic keeps assumptions explicit and declines transformations that cannot be justified. https://t.co/7zuIZRjalC #ScientificComputing

[Dimitris @DeltaPiSystems]

Erasing information has a thermodynamic cost. This link between computation and entropy places a physical limit on energy efficiency. https://t.co/om9mKLZLZl #ScientificComputing

[Dimitris @DeltaPiSystems]

For a scalar objective governed by a large model, the adjoint method can compute gradients with one adjoint solve, independent of the number of parameters. https://t.co/QsOtPB9aQx #Optimization #ScientificComputing

[Dimitris @DeltaPiSystems]

Optimal experimental design asks where to measure, not just how much to measure. Fisher information can guide experiments toward more informative parameter estimates. https://t.co/VCxpDxzxo1 #OptimalDesign #SystemIdentification

[Dimitris @DeltaPiSystems]

In state estimation, observability asks whether internal states can be reconstructed from available measurements. It is a key test before designing observers such as Kalman filters for process monitoring and control. #StateEstimation #ProcessControl

[Dimitris @DeltaPiSystems]

Finite-element structural dynamics produces systems of motion equations. The Newmark-β method integrates them in time to compute structural response to dynamic loads. https://t.co/OiyMT3Gskx #StructuralDynamics