4 ways to refine your content in Flow
You’ll now get more creative control in Flow with new refinement and editing capabilities.
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The BiG Africa Summit 2026 Ready to Make Its BiGGEST Impact Yet
We’re already feeling the excitement building across the continent as top industry leaders, innovators, and revolutionary partners prepare for the 12th Annual BiG Africa Summit 2026, taking place from 16 –19 February 2026 at The Grand Palm Hotel Casino Convention Resort in Gaborone, Botswana. The coming edition is set to redefine standards in its sector and reciprocate the experience among an assemblage that comprises tens of the region’s finest talents, and a few visionaries as well. With an […]
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Teaching robots to map large environments
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain. Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even the best models can only process a few images at a time. In a real-world disaster where every second counts, a search-and-rescue […]
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Fine-Tuning a BERT Model
This article is divided into two parts; they are: • Fine-tuning a BERT Model for GLUE Tasks • Fine-tuning a BERT Model for SQuAD Tasks GLUE is a benchmark for evaluating natural language understanding (NLU) tasks.
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Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality
Author(s): VARUN MISHRA Originally published on Towards AI. Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality Machine translation has come a long way, from clunky rule-based systems to sleek neural models like Transformers. But how do we know if a machine’s translation is any good? Enter the BLEU score — a go-to metric for evaluating machine translation quality. Short for Bilingual Evaluation Understudy, BLEU is like a judge that compares a machine’s output to human […]
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Advancing science and math with GPT-5.2
GPT-5.2 is OpenAI’s strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. This post shows how those gains translate into real research progress, including solving an open theoretical problem and generating reliable mathematical proofs.
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Anthropic and Accenture sign multi-year AI strategic partnership
The two companies are launching the Accenture Anthropic Business Group to bring Anthropic’s AI to Accenture’s employees.
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We’re announcing new health AI funding, while a new report signals a turning point for health in Europe.
At the European Health Summit in Brussels, Greg Corrado, Distinguished Scientist at Google, released a new report authored by Implement Consulting Group and commissioned…
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Engineering more resilient crops for a warming climate
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
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Optimizing PyTorch Model Inference on AWS Graviton
Tips for accelerating AI/ML on CPU — Part 2 The post Optimizing PyTorch Model Inference on AWS Graviton appeared first on Towards Data Science.
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