Algorithmia: AI budgets are increasing but deployment challenges remain

A new report from Algorithmia has found that enterprise budgets for AI are rapidly increasing but significant deployment challenges remain.

Algorithmia’s 2021 Enterprise Trends in Machine Learning report features the views of 403 business leaders involved with machine learning initiatives.

Diego Oppenheimer, CEO of Algorithmia, says:

“COVID-19 has caused rapid change which has challenged our assumptions in many areas. In this rapidly changing environment,...

AWS announces nine major updates for its ML platform SageMaker

Amazon Web Services (AWS) has announced nine major new updates for its cloud-based machine learning platform, SageMaker.

SageMaker aims to provide a machine learning service which can be used to build, train, and deploy ML models for virtually any use case.

During this year’s re:Invent conference, AWS made several announcements to further improve SageMaker’s capabilities.

Swami Sivasubramanian, VP of Amazon Machine Learning at AWS,...

TensorFlow is now available for those shiny new ARM-based Macs

A new version of machine learning library TensorFlow has been released with optimisations for Apple’s new ARM-based Macs.

While still technically in pre-release, the Mac-optimised TensorFlow fork supports native hardware acceleration on Mac devices with M1 or Intel chips through Apple’s ML Compute framework.

The new TensorFlow release boasts of an over 10x speed improvement for common training tasks. While impressive, it has to be taken in the context that the GPU...

Algorithmia announces Insights for ML model performance monitoring

Seattle-based Algorithmia has announced Insights, a solution for monitoring the performance of machine learning models.

Algorithmia specialises in artificial intelligence operations and management. The company is backed by Google LLC and focuses on simplifying AI projects for enterprises just getting started.

Diego Oppenheimer, CEO of Algorithmia, says:

“Organisations have specific needs when it comes to ML model monitoring and reporting.

For example,...

NVIDIA chucks its MLPerf-leading A100 GPU into Amazon’s cloud

NVIDIA’s A100 set a new record in the MLPerf benchmark last month and now it’s accessible through Amazon’s cloud.

Amazon Web Services (AWS) first launched a GPU instance 10 years ago with the NVIDIA M2050. It’s rather poetic that, a decade on, NVIDIA is now providing AWS with the hardware to power the next generation of groundbreaking innovations.

The A100 outperformed CPUs in this year’s MLPerf by up to 237x in data centre inference. A single NVIDIA DGX A100...

Microsoft’s new AI auto-captions images for the visually impaired

A new AI from Microsoft aims to automatically caption images in documents and emails so that software for visual impairments can read it out.

Researchers from Microsoft explained their machine learning model in a paper on preprint repository arXiv.

The model uses VIsual VOcabulary pre-training (VIVO) which leverages large amounts of paired image-tag data to learn a visual vocabulary.

A second dataset of properly captioned images is then used to help teach the...

AI is helping mobile operators to cope with pandemic demand

Artificial intelligence is helping telecoms operators to boost the RAN capacity of their 4G networks by 15 percent.

More people than ever are relying on telecoms networks to work, play, and stay connected during the pandemic. Operators are doing all they can to ensure their existing networks have enough capacity to cope with demand.

Gorkem Yigit, Principal Analyst at Analysys Mason, said:

“Video streaming continues to experience high year on year growth and...

AI dominates Gartner’s latest Hype Cycle for emerging technologies

Gartner’s latest Hype Cycle has a distinct AI flavour, highlighting the technology's importance over the next decade.

Of the 30 emerging technologies featured in Gartner’s latest Hype Cycle, nine are directly related to artificial intelligence:

Generative adversarial networksAdaptive machine learningComposite AIGenerative AIResponsible AIAI-augmented developmentEmbedded AIExplainable AIAI-augmented design

Most of the AI technologies are currently in the initial...

DeepCode provides AI code reviews for over four million developers

AI-powered code reviewer DeepCode has announced it’s checked the code of over four million developers.

DeepCode’s machine learning-based bot is fluent in JavaScript, TypeScript, Java, C/C++, and Python.

“Our data shows that over 50% of repositories have critical issues and every second pull-request has warnings about issues that need to be fixed,” said Boris Paskalev, CEO and co-founder of DeepCode.

“By using DeepCode, these issues are automatically...

MIT has removed a dataset which leads to misogynistic, racist AI models

MIT has apologised for, and taken offline, a dataset which trains AI models with misogynistic and racist tendencies.

The dataset in question is called 80 Million Tiny Images and was created in 2008. Designed for training AIs to detect objects, the dataset is a huge collection of pictures which are individually labelled based on what they feature.

Machine-learning models are trained using these images and their labels. An image of a street – when fed into an AI trained...