
Data Phoenix Pulse: Tech Talks, Demo Stage, and Robutler Partnership
Dmytro Spodarets·Oct 8, 2026
4:22Open Mic
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




The Dutch government estimates its wider efficiency program will mean about 25,000 fewer full-time-equivalent roles over several years, while separate AI productivity targets are not due until early 2027.

A two-round test by writer Benjamin Skuse found that IEEE Access stopped two AI-generated submissions before peer review after checks exposed citation problems, heavy reliance on preprints and nonsensical figure details.

Oracle and Google said Google's Tensor Processing Units will become available on Oracle Cloud Infrastructure starting in 2027, making OCI the first hyperscaler outside Google to offer the chips.

AMD and Oracle plan OCI Compute E7 instances using sixth-generation EPYC processors, while Pensando DPUs will support Acceleron networking for AMD-powered OCI instances.

Salesforce plans to connect Agent Fabric evaluations to predefined interventions, while its basic kill switch and cost controls are already generally available.

Oracle and NVIDIA say Vera Rubin NVL72 systems and Vera CPUs are generally available on OCI. Multi-gigawatt Superclusters and HGX Rubin NVL8 remain planned.

A Nature paper details Pinal, a two-stage model that turns descriptions of protein functions into structural tokens and amino-acid sequences, backed by computational screening and selected laboratory tests.

Google Research’s proposed Sleep framework keeps new information in short-term memory during active use, then updates parameters offline to consolidate knowledge and generate synthetic practice.