Streamlit wants to revolutionize building machine learning and data science applications, scores $21 million Series A funding
Streamlit wants to be for data science what business intelligence tools have been for databases: A quick way to get to results, without bothering much with the details
Read More →Compute to data: using blockchain to decentralize data science and AI with the Ocean Protocol
The conflict between access to data and data sovereignty is key to understanding how AI works, and moving it forward. The Ocean Protocol Foundation wants to help resolve that conflict, by introducing a way of letting AI work with data without giving up control.
Read More →Scientific fact-checking using AI language models: COVID-19 research and beyond
Fact or fiction? That's not always an easy question to answer. Incomplete knowledge, context and bias typically come into play. In the nascent domain of scientific fact checking, things are complicated.
Read More →AI chips in 2020: Nvidia and the challengers
Now that the dust from Nvidia's unveiling of its new Ampere AI chip has settled, let's take a look at the AI chip market behind the scenes and away from the spotlight
Read More →Optimizing hardware infrastructure with data and AI: Granulate scores $12 million Series A funding
How does boosting hardware performance between 20% and 80% sound? This is what startup Granulate promises.
Read More →Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults
What are customer insults, and what does machine learning have to do with it?
Read More →5 technology trends for the roaring 20s, part 2: AI, Knowledge Graphs, infinity and beyond
You don't have to be a fortune teller to identify AI as the key trend for the 2020s. But there is nuance regarding AI hardware and software that deserves to be highlighted.
Read More →Deep Learning Software vs. Hardware: NVIDIA releases TensorRT 7 inference software, Intel acquires Habana Labs
NVIDIA's software library latest release brings significant performance improvements, which NVIDIA says enable conversational AI. But Intel is stepping up its game too, by acquiring Habana Labs, an AI chip startup that promises top performance on the hardware level.
Read More →NVIDIA GPUs now work with Arm processors, Magnum open source I/O accelerates data workloads for AI
NVIDIA expands its ecosystem, flexes its software muscle, and takes a bet on new processors, workloads, and use cases. The developments paint a new picture in the AI chip race in the cloud and the edge.
Read More →Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may be your AI that drives them. AI = data + compute, and you want your compute to be as close to your data as possible. Enter edge computing.
Read More →