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BIOENGINEER.ORG
bioengineer.org > harnessing-deep-learning-for-precision-cancer-prognosis

Harnessing Deep Learning for Precision Cancer Prognosis

Harnessing Deep Learning for Precision Cancer Prognosis44+ min ago   (889+ words) Harnessing Deep Learning for Precision Cancer Prognosis'Bioengineer.org In an era where precision medicine is of utmost importance, a groundbreaking study led by Feng et al. addresses the complexities of cancer prognosis through an integrative approach known as multimodal pathogenomics....

DEV Community
dev.to > vincentdu2021 > how-to-run-mlperf-llama-2-70b-training-on-amd-mi325x-without-slurm-1ho4

How to Run MLPerf Llama 2 70B Training on AMD MI325X Without SLURM

How to Run MLPerf Llama 2 70B Training on AMD MI325X Without SLURM1+ hour, 41+ min ago   (186+ words) This guide covers running the MLPerf Training v5.1 Llama 2 70B LoRA fine-tuning benchmark on a multi-node AMD Instinct MI325X cluster without a SLURM scheduler. ROCm Installation: Follow ROCm installation guide for your Linux distribution. Docker GPU Access: Ensure Docker can access AMD GPUs:…...

DIGITAL TERMINAL
digitalterminal.in > tech-companies > escan-showcases-ai-powered-cybersecurity-innovations-at-fitag-2026-and-cmda-2026

eScan Showcases AI-Powered Cybersecurity Innovations at FITAG 2026 and CMDA 2026

eScan Showcases AI-Powered Cybersecurity Innovations at FITAG 2026 and CMDA 20262+ hour, 41+ min ago   (281+ words) eScan Showcases AI-Powered Cybersecurity Innovations at FITAG 2026 and CMDA 2026digital terminal eScan showcased its next-generation security portfolio at two major industry platforms - Future IT & Technology Awareness Gujarat (FITAG) 2026 in Gandhinagar and CMDA 2026 in Pune..Through its participation at these events, eScan…...

DEV Community
dev.to > dangmanhtruong1995 > a-gpu-accelerated-implementation-of-forman-ricci-curvature-based-graph-clustering-in-cuda-3ob1

A GPU-accelerated implementation of Forman-Ricci curvature-based graph clustering in CUDA.

A GPU-accelerated implementation of Forman-Ricci curvature-based graph clustering in CUDA.2+ hour, 44+ min ago   (422+ words) DRAM Frequency Ghz 10.24 SM Frequency Ghz 2.22 Elapsed Cycles cycle 10,272,695 Memory Throughput % 49.94 DRAM Throughput % 49.94 Duration ms 4.61 L1/TEX Cache Throughput % 32.78 L2 Cache Throughput % 19.64 SM Active Cycles cycle 10,245,038.77 Compute (SM) Throughput % 86.58 Block Size 256 Function Cache Configuration CachePreferNone Grid Size 986,034 Registers Per Thread register/thread…...

digitalinformationworld.com
digitalinformationworld.com > 2026 > 01 > bad-behaviour-begets-bad-behaviour-in.html

“Bad behaviour” begets “bad behaviour” in AI – Expert Reaction

3+ hour, 27+ min ago   (1054+ words) When they trained AI models to produce computing code with security vulnerabilities, the models began to give violent or malicious responses to completely unrelated questions. The SMC asked experts to comment on this finding and its implications. Dr Andrew Lensen,…...

@hackernoon
hackernoon.com > how-ai-is-being-used-for-border-surveillance

How AI Is Being Used For Border Surveillance

How AI Is Being Used For Border Surveillance3+ hour, 37+ min ago   (352+ words) How AI Is Being Used For Border Surveillance'Hackernoon Upgrading fleets of mobile surveillance trucks Integrating persistent, real-time surveillance in remote locations Reducing costs and human operator dependence Minimizing margin of error and missed detections Maximizing use of AI to flag…...

DEV Community
dev.to > siphon > we-open-sourced-our-ai-calling-framework-so-you-dont-waste-2-3-months-4im0

We Open-Sourced Our AI Calling Framework (So You Don't Waste 2-3 Months)

We Open-Sourced Our AI Calling Framework (So You Don't Waste 2-3 Months)4+ hour, 27+ min ago   (307+ words) Three months. That's how long many teams spend building telephony infrastructure before writing a single line of actual conversation logic for an AI voice agent. Not because the AI was hard. Because telephony is brutal. Today, we're open-sourcing the solution…...

DEV Community
dev.to > jubinsoni > azure-small-language-models-evaluating-phi-3-llama-3-and-snowflake-arctic-for-production-35h6

Azure Small Language Models: Evaluating Phi-3, Llama 3, and Snowflake Arctic for Production

Azure Small Language Models: Evaluating Phi-3, Llama 3, and Snowflake Arctic for Production4+ hour, 51+ min ago   (792+ words) Microsoft's Phi-3 family represents a breakthrough in how model quality is achieved. Rather than relying on the sheer volume of web-scraped data, Phi-3 was trained on "Phi-3-specific" data'a combination of highly filtered web data and synthetic data designed to…...

Towards Data Science
towardsdatascience.com > data-poisoning-in-machine-learning-why-and-how-people-manipulate-training-data

Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

Data Poisoning in Machine Learning: Why and How People Manipulate Training Data5+ hour ago   (971+ words) Publish AI, ML & data-science insights to a global community of data professionals. Do you know where your data has been? Data is a sometimes overlooked but hugely vital part of enabling machine learning and therefore AI to function. Generative AI…...

AOL.com
aol.com > articles > excel-software-thats-hard-quit-000803679.html

Excel: The software that's hard to quit

5+ hour, 49+ min ago   (8+ words) Excel: The software that's hard to quit'AOL.com...