Sascha Brodsky

2 weeks ago | ibm.com | Anabelle Nicoud |Sascha Brodsky

We’re tuning in live to Apple’s developer conference, WWDC25, to bring you the most notable news—and what it means for developers, business and beyond. Apple is giving developers access to its Foundation Models framework. “We are doing something new: we are opening our foundation model to developers,” said Craig Federighi, Apple’s Senior VP of Software, in the first minutes of WWDC.

3 weeks ago | ibm.com | Anabelle Nicoud |Sascha Brodsky

The AI ecosystem has undergone rapid evolution over the past year. OpenAI, in collaboration with former Apple design chief Jony Ive, is developing a screenless AI companion device. Perplexity is reportedly in talks with Samsung to bring conversational search to its smartphones. Browser-based assistants and operating systems are emerging from startups like Similar and Dia, hinting at new paradigms of interaction built entirely around generative models. Apple’s strategy takes a different shape.

3 weeks ago | ibm.com | Sascha Brodsky

The air inside IBM’s Poughkeepsie facility smells faintly of ozone and cold metal. Rows of matte-black server racks hum behind glass doors, lights blinking in a steady, algorithmic rhythm. Somewhere among them stands a machine that looks unassuming but represents a leap forward in the practical deployment of artificial intelligence: the new IBM z17 mainframe. Artificial intelligence has come to dominate the conversation in tech, but the discourse is often abstract.

3 weeks ago | ibm.com | Sascha Brodsky

This convergence of brain and machine isn’t only theoretical. At IBM Research, Dharmendra Modha and his team have built NorthPole, a new kind of AI chip designed for inference. Unlike traditional chips that suffer from the von Neumann bottleneck, constantly shuttling data between memory and processor, NorthPole integrates the two. It’s a digital reflection of the brain, where memory and computation are interwoven. The chip achieves this by embedding memory directly alongside compute cores.

4 weeks ago | ibm.com | Sascha Brodsky

P-1’s platform utilizes reinforcement learning and graph neural networks to generate synthetic datasets, model design variations and simulate the behavior of physical systems—which it does in milliseconds, not hours. Instead of replacing CAD tools or solvers, Archie is being trained to work with them. It selects the right tool for the task and uses it the way a junior engineer might. Traditional simulation workflows can take hours or even days to test a single design.