Unite.AI

MAY 2, 2024

As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy. In response, researchers are delving into a novel integration of two progressive fields: optical neural networks (ONNs) and neuromorphic computing.

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Marktechpost

JULY 2, 2023

Source: [link] Source: [link] Applications of FPGAs FPGAs are utilized in various industries and have diverse areas of implementation. Source: [link] Source: [link] Applications of FPGAs FPGAs are utilized in various industries and have diverse areas of implementation. Some of their primary areas of use include.

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Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. When clustering is applied to personal data (e.g.,

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Algorithm Machine Learning ML Responsible AI 89

TheSequence

JANUARY 10, 2024

To receive new posts and support my work, consider becoming a free or paid subscriber. Quick bio: Arjun is a serial entrepreneur, investor, and co-founder and Chairman at Tribe Capital. Some of its noteworthy investments are Apollo.io, Carta, Docker, Kraken, Relativity Space, and Shiprocket.

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Generative AI Large Language Models AI AI 64

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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Google Research AI blog

FEBRUARY 7, 2023

Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. Getir is the pioneer of ultrafast grocery delivery. This is typically a mixed-integer programming (MIP) problem.

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TheSequence

JULY 12, 2023

I started my career in academia doing particle physics research on the Large Hadron Collider at CERN. We built many critical platform systems that enabled the ML teams to develop and ship models much faster, which contributed to the commercial launch of robotaxis in San Francisco in 2022. TheSequence is a reader-supported publication.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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The MLOps Blog

FEBRUARY 27, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects. I’m joined by my co-host, Stephen, and with us today, we have Michal Tadeusiak , who will be answering questions about managing computer vision projects. I’m Sabine, your host.

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Google Research AI blog

FEBRUARY 10, 2023

Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. You can find other posts in the series here.)

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AWS Machine Learning Blog

MAY 1, 2024

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. Llama2 by Meta is an example of an LLM offered by AWS. It comes in a range of parameter sizes—7 billion, 13 billion, and 70 billion—as well as pre-trained and fine-tuned variations.

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Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. These awards highlight the latest achievements and novel approaches in AI research.

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ODSC - Open Data Science

APRIL 19, 2023

All of this means that deep learning will not only continue to be a critical area of research in development today but will only increasingly become more important in the future. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th. Then this two-part workshop is for you.

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AssemblyAI

NOVEMBER 21, 2022

The method employs AlphaTensor , an AI-based system that operates on Deep Reinforcement Learning. Even beyond the specific context of Neural Networks, matrix multiplication lies at the foundation of much of modern computing, playing a fundamental role in computer graphics, digital communications, and scientific computation.

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Viso.ai

DECEMBER 10, 2023

This article will cover image recognition, an application of Artificial Intelligence (AI), and computer vision. The solution enables organizations worldwide to build, deploy, scale, and secure all their computer vision applications on one infrastructure. Therefore, we will cover the following topics: What is image recognition?

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AWS Machine Learning Blog

JUNE 7, 2023

In addition to designing the model architecture, researchers need to set up state-of-the-art training techniques for distributed training like mixed precision support, gradient accumulation, and checkpointing. The optimizer states were partitioned by DeepSpeed to train large models using the data parallel paradigm.

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deepsense.ai

APRIL 25, 2024

SLMs are compact versions of Language Models, and they excel in two main areas: SLMs are suitable for Edge Devices, offering businesses benefits such as cost reduction, offline usage, or enhanced data privacy. This article focuses on the first area: applying SLMs to Edge Devices for practical purposes. What are Small Language Models?

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The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. The size of large NLP models is increasing | Source Such large natural language processing models require significant computational power and memory, which is often the leading cause of high infrastructure costs.

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AWS Machine Learning Blog

MARCH 6, 2023

SageMaker Training is a managed batch ML compute service that reduces the time and cost to train and tune models at scale without the need to manage infrastructure. Parallelism – Your choice of distributed training library is crucial for appropriate use of the GPUs. Resiliency – At scale, hardware failures can happen.

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The MLOps Blog

APRIL 20, 2023

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems. Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects.

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Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. Many languages in Africa, Asia, and the Americas that are spoken by tens of millions of people have received little research attention [1:1] [4].

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. MLOps landscape One of the defining characteristics of the MLOps landscape in 2023 is the coexistence of both open-source and closed-source solutions.

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Google Research AI blog

FEBRUARY 2, 2023

Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. Great machine learning (ML) research requires great systems.

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AWS Machine Learning Blog

MAY 4, 2023

However, their increasing complexity also comes with high costs for inference and a growing need for powerful compute resources. However, their increasing complexity also comes with high costs for inference and a growing need for powerful compute resources.

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Google Research AI blog

FEBRUARY 9, 2023

Posted by Ted White and Ofer Naaman, Staff Research Scientists, Google Quantum AI The Google Quantum AI team is building quantum computers with superconducting microwave circuits, but much like a classical computer the superconducting processor at the heart of these computers is only part of the story.

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Algorithm AI AI 101

Marktechpost

JULY 14, 2023

These models can include billions or trillions of parameters, meaning that running them requires tremendous memory and computing power. It would take at least five A100 (80GB) GPUs and sophisticated parallelism techniques to fit this model onto GPUs. The memory hierarchy is divided into three tiers in a typical system.

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The MLOps Blog

AUGUST 11, 2023

Many questions regarding building machine learning pipelines and systems have already been answered and come from industry best practices and patterns. However, this efficient system does not just operate independently – it necessitates a comprehensive architectural approach and thoughtful design consideration.

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Topbots

JUNE 15, 2023

Data MASSIVE is a parallel dataset introduced by Amazon consisting of 1 million realistic, parallel short texts translated across 52 languages and 18 domains. This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. Screenshot taken by author.

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Google Research AI blog

JULY 23, 2023

Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more.

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Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. Object detection is a key field in artificial intelligence, allowing computer systems to “see” their environments by detecting objects in visual images or videos.

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AWS Machine Learning Blog

MAY 15, 2023

Getir relies heavily on accurate demand forecasts at a SKU level when making business decisions in a wide range of areas, including marketing, production, inventory, and finance. Step Functions is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows.

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AWS Machine Learning Blog

JUNE 13, 2023

The Falcon has landed on SageMaker TII is the applied research organization within Abu Dhabi’s Advanced Technology Research Council ; its team of scientists, researchers, and engineers is dedicated to the discovery of transformative technologies and development of scientific breakthroughs that will future-proof our society.

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The MLOps Blog

JULY 18, 2023

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production. Hi, Jason, and welcome.

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