SageMaker Serverless Inference illustrates Amazon’s philosophy for ML workloads
Amazon just unveiled Serverless Inference, a new option for SageMaker, its fully managed machine learning (ML) service. The goal for Amazon SageMaker Serverless Inference is to serve use cases with intermittent or infrequent traffic patterns, lowering total cost of ownership (TCO) and making the service easier to use.
Read More →Averting the food crisis and restoring environmental balance with data-driven regenerative agriculture
Modern agriculture was broken long before pandemics, wars, supply chain disruptions, and fertilizer shortages. Regenerative agriculture can fix it.
Read More →LinkedIn on the ‘Great Reshuffle’: Green skills, green jobs, and blind spots
LinkedIn embarked on an ambitious analysis of data from its nearly 800 million members worldwide to derive insights on the green transition. But while useful, the analysis comes with its blind spots, too.
Read More →Google sets the bar for AI language models with PaLM
Google’s new large language model (LLM) called PaLM (Pathways Language Model) is the first outcome of Pathways, Google’s new AI architecture, which aims to handle many tasks at once, learn new tasks quickly and reflect a better understanding of the world.
Read More →Graph data science: What you need to know
Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor, chances are you’re familiar with data science. But what about graph data science?
Read More →StreamNative releases report with insights into data streaming ecosystem
The appeal of processing data in real-time is on the rise. Historically, organizations adopting the streaming data paradigm were driven by use cases such as application monitoring, log aggregation and data transformation (ETL).
Read More →Massaging AI language models for fun, profit and ethics
Do AI language models really demonstrate intelligence? What about morality? Is it ok to tweak them, and if yes, who gets to do this, and how do the rest of us know?
Read More →Trullion tackles applying AI to accounting workflows
Most of us do not consider accounting to be a separate line of business. But accounting is big business, in and of itself.
Read More →NVIDIA unveils Hopper, its new hardware architecture to transform data centers into AI factories
NVIDIA just announced Hopper, a new GPU architecture that promises significant performance improvements for AI workloads. We look under the hood to decipher whether the emphasis on Transformer AI models translates to a radical redesign, and look at the updates in the software stack.
Read More →Trustworthy AI: How to ensure trust and ethics in AI
A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) — who would not want that? This is how Beena Ammanath describes her new book, Trustworthy AI.
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