A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.
Author: aibots.dk
Google’s Gecko benchmark identifies best AI image generator
Google’s DeepMind released Gecko, a new benchmark for comprehensively evaluating AI text-to-image (T2I) models. Over the last two years, we’ve seen AI image generators like DALL-E and Midjourney become progressively better with each version release. However, deciding which of the underlying models these platforms use is best has been largely subjective and difficult to benchmark. To make a broad claim that one model is “better” than another isn’t so simple. Different models excel in various aspects of image generation. One may be good at text rendering while another may be better at object interaction. A key challenge that T2I models
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An AI dataset carves new paths to tornado detection
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.
We’re bringing the Financial Times’ world-class journalism to ChatGPT
We will also collaborate on new AI experiences for FT readers.
How to Launch a PSP with Minimal Time and Budget?
Payment solutions are ubiquitous and no entrepreneur can imagine doing business without them. Unsurprisingly, the owners and operators of such solutions make huge profits. The payment solutions market is expected to exceed $192 billion by 2030. In such conditions, the question of how to launch a PSP becomes a very lucrative option. At the same […]
Report: AI is advancing beyond humans, we need new benchmarks
Stanford University released its AI Index Report 2024 which noted that AI’s rapid advancement makes benchmark comparisons with humans increasingly less relevant. The annual report provides a comprehensive insight into the trends and state of AI developments. The report says that AI models are improving so fast now that the benchmarks we use to measure them are increasingly becoming irrelevant. A lot of industry benchmarks compare AI models to how good humans are at performing tasks. The Massive Multitask Language Understanding (MMLU) benchmark is a good example. It uses multiple-choice questions to evaluate LLMs across 57 subjects, including math, history,
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3 Questions: Enhancing last-mile logistics with machine learning
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
3 Ways Tech Companies Are Embracing Sustainability in Operations
The role of technology must be to make the future brighter, but that’s not always the result of the innovations humanity has come up with over the centuries. With the climate crisis causing major concerns worldwide, the only way out of the current mess is through further breakthroughs. And the good news is that tech […]
Introducing OpenAI Japan
We are excited to announce our first office in Asia and we’re releasing a GPT-4 custom model optimized for the Japanese language.
OpenAI says Voice Engine might be too risky to release
OpenAI says it ran a small-scale test of its new voice cloning product Voice Engine with a few select partners. The results show promising applications for the tech, but safety concerns may keep it from being released. OpenAI says that Voice Engine can clone a human’s voice based on a single 15-second recording of their voice. The tool can then generate “natural-sounding speech that closely resembles the original speaker.” Once cloned, Voice Engine can turn text inputs into audible speech using “emotive and realistic voices.” The tool’s capability makes exciting applications possible but raises serious safety issues too. Promising use
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