While the U.S. leads in gas production, systemic flaring and “sitting on laurels” create a lethal energy bottleneck. By 2030, China’s cheaper electrons could empower their domestic GPUs to undercut the West, forcing a Google vs. Exxon showdown.
In recent years, the tech industry has undergone significant shifts, with major companies like Meta, Amazon, and Google executing large-scale layoffs. Initially framed as responses to economic pressures, these layoffs have inadvertently created a wealth of skilled tech talent now
When it comes to developing deep learning predictive models, there are several stages to building a model from raw data. In the first stage, it must be determined if AI can be of use and how, thus, what specific problems
The AI industry is making progress at simplifying distributed machine learning, defined as the process of scheduling AI workloads across multiple GPUs and machines (nodes). One of the primary benefits of distributed machine learning is its ability to reduce model
San Francisco startup Weights & Biases (WB) is making a name for itself in the AI tools market. As an “experiment tracking platform for deep learning”, WB allows users to collaborate, “visualize model performance”, and track model versions, code, workflows,
The AI race in different regions of the world continues. The US leads in both quantitative and qualitative metrics, where quantitative is measured in the number of startups and qualitative is based on a value system that assigns points to
It was only a matter of time before an AI startup would tackle the GPU problem head-on, the problem being the GPU itself and why it’s needed in the first place. That startup is Neural Magic and they’ve developed an
Ople, the San Mateo startup is on a mission to provide AI solutions that are “easy, cheap, and ubiquitous” to data scientists around the world. Pedro Alves, who is working on his Ph.D. in computational biology founded the startup in
Santa Clara startup Deepen AI has developed an annotation and labeling tool for autonomous systems using deep learning and advanced computer vision. The tool works with 2D, 3D, and 4D environments, that can annotate and label each scene and frame
Datasets are a critical part of machine learning. Any company of sufficient size will have unique domain-specific data in which they can create private datasets. The right data is helpful in building effective AI models that can improve efficiencies and
AI research startup RealityEngines.AI is in the midst of introducing an AI cloud-based service focused on helping organizations deploy machine learning. The startup stands out for three reasons. First, Eric Schmidt is an investor, along with Ram Shriram (early Google
The AI startup ecosystem is thriving. Find any problem in any industry, whether it’s in eCommerce, manufacturing, insurance, medicine, airlines, or anywhere else, and there are likely to be a dozen AI startups that can address the problem in some
In 2018, a total of 466 AI companies raised $9.3B in funding, up from $5.4B in 2017, an increase of 72%, according to a PWC Moneytree report. The AI industry is evolving rapidly and it’s much bigger than any single
The rapid pace of technology innovation is simply proving too much for some vendors. With so many new technologies hitting the market at once, as in those technologies that become the building blocks for new features, trying to build the
