Tag: Fine-tuning (machine learning)

AIHealthcare

AI System Generates Medical Reports from Retinal Scans with Human-Level Accuracy

Researchers have developed an AI system that automatically generates diagnostic reports for retinal OCT images with quality comparable to ophthalmologists. The technology could significantly reduce eye specialists’ reporting time while improving access to expert care in remote areas.

Breakthrough in Medical AI Report Generation

Researchers have developed a deep learning system that automatically generates diagnostic reports for retinal optical coherence tomography (OCT) images with accuracy comparable to human ophthalmologists, according to a recent study published in npj Digital Medicine. The MORG model reportedly outperforms both generalized large language models and other state-of-the-art image captioning systems in medical correctness assessments conducted by retinal specialists.

by Nathan Cole
Cloud ComputingEnergy

Hyperscale Data Centers Projected to Drive Massive Grid Power Surge Through 2030

New research indicates hyperscale data centers will dramatically increase grid electricity consumption, with projections showing nearly triple the current demand by 2030. The surge is primarily driven by massive investments in AI infrastructure and machine learning capabilities requiring specialized power-hungry hardware.

Data Center Electricity Demand Set for Unprecedented Growth

Hyperscale data centers in the United States are projected to consume 22 percent more grid power by the end of 2025 compared to current levels, according to recent analysis from 451 Research, which is now part of S&P Global. The research suggests this represents just the beginning of a much larger trend, with electricity requirements potentially nearly tripling by the end of the decade.

by Elisa Romero
AI ImpactAnomalies and Alternative ScienceAssistive Technology

Machine Learning Breakthrough Enables Programmable ‘Thermal Switch’ Materials

A new machine learning technique is enabling precise control over heat flow in advanced nanomaterials. Researchers report this breakthrough could lead to materials that function like thermal dimmer switches for next-generation electronics and wearable devices.

Machine Learning Unlocks Thermal Control in Advanced Materials

Researchers have developed a machine learning approach that enables programmable control over heat flow in nanomaterials, functioning like a thermal dimmer switch, according to recently published research. The breakthrough reportedly allows materials to be made hotter or colder through simple mechanical deformation such as squeezing or stretching.

by Nathan Cole
AI ImpactScientific Research

Apple AI and Computer Vision Research at ICCV 2025: Key Papers and Presentations

Apple has confirmed its participation in ICCV 2025 with eight accepted papers on AI and computer vision research. The company will also feature in keynote presentations and workshops, including Dr. C. Thomas speaking at the VISION workshop and researchers mentoring at the Women in Computer Vision event.

Apple’s Major Presence at ICCV 2025 Conference

Apple has officially confirmed its participation in the International Conference on Computer Vision (ICCV) 2025, scheduled for October 19-23 in Honolulu. The company will showcase significant advancements in machine learning and computer vision research through multiple presentations and workshops.

by Nathan Cole