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I’m a visual artist / developer who uses style transfer as one of the important tools in my visual tool kit. After a quick test on Catalina I love the speed and ease of use that Create ML provides. And want to try out the create ML style transfer. And the idea of doing some programming to ramp up output and extend the search for visual results is a nice additional idea. I want to get started. Background: I am using a much loved older Macintosh laptop without significant graphic acceleration as my daily driver. And want to start using these tools during the beta period before Apple Silicon is released to the general public. Question: Until the Apple Silicon devices are released, what do folks recommend in terms of hardware to work with these tools. At this point I have to do this on a personal budget with a reasonable dollar outlay over time. I’ve considered: Requesting the Mac Mini with Apple Silicon, and then look at options when official hardware becomes available. Getting a regular Intel Mac Mini and adding an eGPU if CPU does not cut it. Getting current 16” i7 MacBook Pro and up specking the built in GPU. Giving up on Mac OS and specking a gaming Laptop with Nvidia GPU and Linux or Windows and using python and fast.ai Doing work in the cloud. ( I like this the least because I can’t easily control dollar outlay.) Unknowns: I’m not clear how much horse power the visual style transfer models actually take to run. I’ve seen some discussions on moving model training to Nvidia in some documentation. Which sounds like out of the Apple ecosystem. So I’m confused a bit. At WWDC I saw Macs doing style transfer however no specs were mentioned. What hardware would you choices to create art with Style Transfer. —Tom

Hi, is there any way to connect the DTK to the LG 5K display other than USB-C which appears to be at lower resolution.

Question What does the move to Apple Silicon mean for hardware and firmware standards/protocols moving forward? Will there be opportunities to develop drivers and extension module cards that use not only memory interfaces but also efficient high-bandwidth integrated chip (IC) interfaces? Considerations Computer manufacturers are adopting M.2 Keying as a way of preventing unsupported modules from being installed onto hardware systems. Nvidia and AMD are well known for producing high-end GPU's. They are working on Real-Time Ray Tracing technology. There are companies like Broadcom and Qualcomm developing exactly the same kind of GPU for mobile devices. Several companies like Intel, Google and Sipeed are creating mPCIe modules which accelerate machine learning and compute performance on low power. Additionally, there are a "whole slew" of Signal Processors (known as Audio Cards or DSP) which work in the same way to provide better Sound Quality. Wi-Fi 6 modules are emerging. Is there one system which works for every type of hardware module? Categories include but are not limited to the following: Power Storage Communication Human Interface (Visual, Audio, Sensory) Authentication and Security Parallel and Neural Compute Diagnostics and Custom I/O