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Visualizing fluid mechanics equations turns theory into: velocity fields, current lines and pressure maps reveal how fluids flow and mix. From Navier-Stokes to continuity, dynamic graphics make, viscosity and conservation visible, facilitating learning and engineering design."

32,925 görüntüleme • 6 ay önce •via X (Twitter)

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Agents have reached hardware. We are launching Flow v3, the Agentic Platform for Physical Engineering. We've spent over a year building it in secret, alongside the best hardware companies and AI research labs. An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days. Agents are the biggest shift in how we engineer hardware since CAD. The core innovation for the CAD era was the parametric model. The core innovation for the Agentic Era is Flow's Systems Graph. The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design. Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests. Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own. Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow. More on the launch in the comments. Flow Engineering

Pari Singh

39,050 görüntüleme • 1 ay önce

In addition to better graphics, current-gen only game design affords gameplay benefits and flexibility folk might not even realise. Insomniac devs were on record about how Spider-Man 2 was able to have faster travel velocity by not being limited to PS4's slow HDD and asset streaming. PS4's mechanical drive simply couldn't keep up with the data demands of faster traversal at the fidelity desired, hence the original Spider-Man had to move/swing slower. Unlike PC's, consoles don't have ultra fast system ram to fall back on either. When you play Spider-Man 2, the added mobility speed, flight, hovering, much faster swinging etc, is not just breathtaking, but it all makes a tangible difference to traversal and its overall fun factor. Gameplay video showcasing how. Another example of the design benefits current-gen only game design can afford, is Horizon Forbidden West Burning Shores. Guerilla Games spoke on how they ditched being cross-gen for the DLC, in order to allow for the high above the clouds dynamic flight and draw distance that came with it, as well as the absolutely massive and technically marvelous final boss fight. It's these sorts of things that have me wanting publishers to drop cross-gen game design as soon as absolutely possible in any given gen (though I appreciate it may not always be financially sensible). It's also why I wish more tentpole cross-gen games and exclusives this gen, had been current-gen only. #SpiderMan2 #PS5 #PS5Pro

NIB

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THE ETERNAL DANCE OF THE COSMOS Electricity and magnetism are the two primal forces that render our universe into existence. From the invisible field of the Aether emerges polarity. Polarity creates tension. Tension creates oscillation. Oscillation creates vibration. Vibration expresses itself as frequency—and frequency determines form. Look at nature. Every living species exists within a precise temperature range. Every geometric structure is the result of balance and symmetry—one side reflecting the other. Polarity maintains this equilibrium: every action has a response, every ebb has a flow, every positive seeks its negative counterpart. When this balance becomes disturbed, current moves to restore equilibrium, just as water flows from a mountain peak into the valley, from high pressure to low pressure. From the cells within your body to the cells of a battery, this is the foundation of electrical movement. But electricity requires a guide. That guide is magnetism. Magnetic fields provide the pathways through which electrical currents organize, shaping movement through patterns of wave geometry. As electrical energy transitions from counterspace into space, it moves through phases of expression, from plasma, to gas, to liquid, to solid. Through this process, electricity continually contracts and expands between opposing pressures. The rate of oscillation determines the geometric pattern that emerges. The Platonic solids—the fundamental geometries underlying material structure—are expressions of standing waves composed of nodes and antinodes, where points, edges, and faces emerge from harmonic relationships. The tension between these pressures determines temperature, color, geometry, and density. Through the eternal dance of compression and expansion, vibration and oscillation, energy organizes itself into atoms, molecules, matter, and the structures of the cosmos. To understand electricity and magnetism is to understand the architecture of reality itself. ✨🙌🏾💫

🧬Maxpein🧬

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We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

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