
Tag: inference
There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker, there’s not a lot to choose from. Read more…
An updated release of Baidu’s deep learning framework includes a batch of new features ranging from inference capabilities for Internet of Things (IoT) applications to a natural language processing (NLP) framework for Mandarin. Read more…
Intel’s AI lab has released an open-source version of a sentiment analysis algorithm designed to boost natural language processing applications that currently lack the ability to scale across different domains such as restaurant or hotel reviews. Read more…
Big data analytics adoption has soared in recent years. According to a 2018 market study, use of the technology has grown from 17 percent in 2015 to 59 percent in 2018, reaching a compound annual growth rate (CAGR) of 36 percent. Read more…
We already knew that GPUs are useful for lots of things besides making Fortnite uncomfortably realistic. All the biggest supercomputers in the world use GPUs to accelerate math, and more recently they’ve been used to power deep neural networks in public clouds. Read more…
Flex Logix, the embedded FPGA specialist, has shifted gears by applying its proprietary interconnect technology to launch an inference engine that boosts neural inferencing capacity at the network edge while reducing DRAM bandwidth requirements. Read more…
The Pentagon’s top research agency is focusing its considerable AI efforts on the interim stage of machine intelligence between “narrow” and “general” AI.
The Defense Advanced Research Projects Agency (DARPA), which announced a multi-year $2 billion “AI Next” “campaign last month, is tightening its focus on teaching machine “common sense” reasoning. Read more…
Arm Ltd., the U.K. chip intellectual property vendor, is rolling out a machine learning platform designed to boost the functionality of devices at the network edge, beginning with an object detection capability. Read more…
As developers flock to artificial intelligence frameworks in response to the explosion of intelligence machines, training deep learning models has emerged as a priority along with synching them to a growing list of neural and other network designs. Read more…
H2O.ai, the machine-learning specialist that unveiled its “Driverless AI” platform this past summer, is upgrading the system via integration with GPU specialist Nvidia’s AI development system.
The Mountain View, Calif., company said last week it has integrated its AI platform designed to address the shortage of data scientists with Nvidia’s DGX platform. Read more…