Technology teams worldwide have found new ways to leverage machine learning to enable recommendation engines, object detection, voice assistants, fraud detection, and other key use cases. However, the training and deployment of ML models can be expensive and time-consuming.
This eBook from AWS shares practical insights and real-world examples of how you can select and configure the right infrastructure to accelerate the training and deployment of machine learning models for computer vision, fraud detection, natural language processing, and recommendations.
Download now to put your ML use cases into production.
Provided by AWS
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Swiss government data published following supply chain attack – here’s what we know about the culpritsNews Radix, a non-profit organization in the health promotion sector, supplies a number of federal offices, whose data has apparently been accessed.
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GitHub CEO Thomas Dohmke thinks there’s still a place for junior developers in the age of AINews GitHub CEO Thomas Dohmke believes junior developers still play a crucial role in the hierarchy of software development teams, and AI won't change that any time soon.
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Is ChatGPT making us dumber? A new MIT study claims using AI tools causes cognitive issues, and it’s not the first – Microsoft has already warned about ‘diminished independent problem-solving’News A recent study from MIT suggests that using AI tools impacts brain activity, with frequent users underperforming compared to their counterparts.
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‘Agent washing’ is here: Most agentic AI tools are just ‘repackaged’ RPA solutions and chatbots – and Gartner says 40% of projects will be ditched within two yearsNews Agentic AI might be the latest industry trend, but new research suggests the majority of tools are simply repackaged AI assistants and chatbots.
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‘Digital first, but not digital only’: Customer service workers were first on the AI chopping block – but half of enterprises are now backtracking amid a torrent of consumer complaints and poor returns on AINews While businesses have been keen on replacing customer service workers with AI, adoption difficulties mean many are now backtracking on plans.
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‘I don’t think this is on people’s radar’: AI could wipe out half of entry-level jobs in the next five years – and Anthropic CEO Dario Amodei thinks we're all burying our heads in the sandNews With AI set to hit entry-level jobs especially, some industry execs say clear warning signs are being ignored
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‘A complete accuracy collapse’: Apple throws cold water on the potential of AI reasoning – and it's a huge blow for the likes of OpenAI, Google, and AnthropicNews Apple published a research paper on the effectiveness of AI 'reasoning' models - and it seriously rains on the parade of the world’s most prominent developers.
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Questions raised over AI’s impact as studies tout conflicting adoption outcomesNews Two reports highlight the difficulty of judging the impact of AI on jobs, productivity, and wages
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Sick and tired of spreadsheets? Perplexity’s new tools can help with thatNews Perplexity Labs is available now for Pro subscription users
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Meta faces new ‘open washing’ accusations with AI whitepaperNews The tech giant has faced repeated criticism for describing its Llama AI model family as "open source".
