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 →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 →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 →Lexmark looks to strengthen its IoT solution to remain competitive
Arguably, two of the most iconic examples of digital transformation are Kodak and Amazon. Kodak failed to keep with the times, leading to the demise of a once dominant commercial empire. Amazon, however, had the foresight to not just “stay in its lane,” but step out and shape the world’s digital infrastructure with AWS.
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.
Read More →Andrew Ng predicts the next 10 years in AI
Did you ever feel you’ve had enough of your current line of work and wanted to shift gears? If you have, you’re definitely not alone. Besides taking part in the Great Resignation, however, there are also less radical approaches, like the one Andrew Ng is taking.
Read More →Running AI workloads is coming to a virtual machine near you, powered by GPUs and Kubernetes
Run:AI offers a virtualization layer for AI, aiming to facilitate AI infrastructure. It's seeing lots of traction and just raised a $75M Series C funding round. Here's how the evolution of the AI landscape has shaped its growth.
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