
Data Phoenix Pulse: Tech Talks, Demo Stage, and Robutler Partnership
Dmytro Spodarets·Oct 8, 2026
1:01:41
Dmytro Spodarets·Sep 18, 2026
1:02:51Tech Talks
Yogiraj Awati·Sep 17, 2026
Watch the highlight and five company presentations from the September 29 AI x Bio Pitch Contest in San Francisco, then meet the winning teams.
Dmytro Spodarets·Oct 5, 2026
Reduce GPU memory use and training costs with 10 practical techniques, from LoRA and sequence packing to sharding and data selection.
Dmytro Spodarets·Sep 14, 2026
These 10 MLOps trends are worth watching in 2026 for their potential to improve agent reliability, evaluation, context management, inference efficiency, and deployment.
Dmytro Spodarets·Jan 5, 2026Three lists, one email. Pick what fits — unsubscribe with one click.

Dmytro Spodarets·Oct 8, 2026
Dmytro Spodarets·Apr 14, 2026




MBZUAI researchers introduced KineMask, which gives a video diffusion model an object’s initial direction and speed, then leaves it to generate the later path and any resulting interactions.

Tencent proposed an international notes offering. People familiar with investor discussions said the deal could reach about $5 billion, with most proceeds tied to AI capital spending.

AWS’s multi-node Ray LLM Deep Learning Containers package Ray Serve LLM, vLLM, NIXL and EFA for disaggregated prefill and decode on Amazon EKS.

Loops Smart AI announced $3.5 million in seed financing to expand a company-described commerce AI platform spanning product discovery, shopping assistance, catalog enrichment and virtual try-on.

Meta has released Muse Wonder through its Model API and Muse Code, with Muse Wonder Full reserved for Muse Code subscribers. The company says both models are built for long-running agentic work.

Mistlabs launched its Ambi assistant out of beta for Apple-silicon Macs and disclosed $26 million in Pre-A funding, while iOS and its wearable remain pending.

NVIDIA and Cisco announced USFP, a planned 400Gb/s-per-lane pluggable optical-module format and future open specification for denser AI Ethernet networks.

NVIDIA says it contributed Vera Rubin rack and compute-tray designs through open MGX, but interoperability and deployment gains have not been independently established.