O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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AWS Machine Learning - AI

APRIL 10, 2025

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

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Training Artificial Inteligence Hardware Systems Review 113

TechCrunch

OCTOBER 7, 2022

Matthew Horton is a senior counsel and IP lawyer at law firm Foley & Lardner LLP where he focuses his practice on patent law and IP protections in cybersecurity, AI, machine learning and more. Artificial intelligence innovations are patentable. In 2000, the U.S.

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CIO

MARCH 20, 2025

OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence. The application lists various hardware such as AI-powered smart devices, augmented and virtual reality headsets, and even humanoid robots. The company plans to deliver 100,000 robots over the next four years.

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TechCrunch

FEBRUARY 22, 2021

These are companies like hardware maker Native Instruments, which launched the Sounds.com marketplace last year, and there’s also Arcade by Output that’s pitching a similar service. . Meanwhile, Splice continues to invest in new technology to make producers’ lives easier.

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TechCrunch

OCTOBER 27, 2020

The company was co-founded by deep learning scientist Yonatan Geifman, technology entrepreneur Jonathan Elial and professor Ran El-Yaniv, a computer scientist and machine learning expert at the Technion – Israel Institute of Technology. Image Credits: Deci. Image Credits: Deci. ”

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TechCrunch

MAY 17, 2021

And the transaction itself, in conjunction with the previously announced Desktop Metal blank-check deal, implies that there is space in the market for hardware startup liquidity via SPACs. Perhaps that will unlock more late-stage capital for hardware-focused upstarts. What’s Bright Machines?

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TechCrunch

OCTOBER 26, 2020

The company said it would use the funding to develop new capabilities for its combined hardware and software service that provides information into water quality and the existence of potential damage to water pipes for distribution and disposal of water. Silicon Valley Bank provided the company with $3 million in debt financing.

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Artificial Inteligence Software Machine Learning Artificial Intelligence 232

TechCrunch

NOVEMBER 22, 2021

San Diego-based startup LifeVoxel has raised $5 million in a seed round to bolster data intelligence of its AI diagnostic visualization platform for faster and precise prognosis. Kovalan, who was born and raised in Malaysia, studied computer science in Ohio State University, and on completion, went on to specialize in artificial intelligence.

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Artificial Inteligence Artificial Intelligence Technical Review Healthcare 242

TechCrunch

AUGUST 25, 2021

Bodo.ai , a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms. I joined Intel Labs to work on the problem, and we think we have the first solution that will democratize machine learning for developers and data scientists.

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O'Reilly Media - Ideas

APRIL 17, 2019

Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more. People from across the AI world are coming together in New York for the O'Reilly Artificial Intelligence Conference. Machine learning for personalization. Watch " Machine learning for personalization.".

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Artificial Inteligence Artificial Intelligence Conference Machine Learning 108

TechCrunch

MAY 25, 2022

began demoing an accelerator chipset that combines “traditional compute IP” from Arm with a custom machine learning accelerator and dedicated vision accelerator, linked via a proprietary interconnect, To lay the groundwork for future growth, Sima.ai by the gap he saw in the machine learning market for edge devices. .

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Artificial Inteligence Machine Learning Hardware Architecture 238

Ooda Loop

APRIL 16, 2025

Far from science fiction, these intelligent machines are automating tasks, boosting efficiency, and sparking debates about their impact on jobs.

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Artificial Inteligence Artificial Intelligence ChatGPT Generative AI 59

O'Reilly Media - Ideas

JULY 8, 2019

Experts explore the future of hiring, AI breakthroughs, embedded machine learning, and more. Experts from across the AI world came together for the O'Reilly Artificial Intelligence Conference in Beijing. The future of machine learning is tiny. Watch " The future of machine learning is tiny.".

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Artificial Inteligence Artificial Intelligence Conference Machine Learning 19

CIO

JUNE 6, 2023

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. So what does it take on the hardware side?

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Hardware Artificial Inteligence Applications Wireless 147

O'Reilly Media - Ideas

APRIL 30, 2019

At the start of O'Reilly's Artificial Intelligence Conference in New York this year, Intel's Gadi Singer made a point that resonated through the conference: "Machine learning and deep learning are being put to work now." An AI system has three components: a model, training data, and hardware.

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Artificial Inteligence Artificial Intelligence Conference Machine Learning 108

CIO

OCTOBER 16, 2023

Predictive AI can help break down the generational gaps in IT departments and address the most significant challenge for mainframe customers and users: operating hardware, software, and applications all on the mainframe. Predictive AI utilizes machine learning algorithms to learn from historical data and identify patterns and relationships.

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Artificial Inteligence Artificial Intelligence Machine Learning Hardware 206

CIO

MARCH 31, 2025

Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. Talent shortages AI development requires specialized knowledge in machine learning, data science, and engineering.

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Technical Review Artificial Inteligence Compliance Open Source 117

Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down. Take retail, for instance.

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Artificial Inteligence Machine Learning Technical Review Artificial Intelligence 98

AWS Machine Learning - AI

NOVEMBER 26, 2024

max-num-seqs 32 : This is set to the hardware batch size or a desired level of concurrency that the model server needs to handle. nGen AI is a new type of artificial intelligence that is designed to learn and adapt to new situations and environments. choices[0].text'

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CIO

JANUARY 22, 2025

Cyberthreats, hardware failures, and human errors are constant risks that can disrupt business continuity. Predictive analytics allows systems to anticipate hardware failures, optimize storage management, and identify potential threats before they cause damage.

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Apiumhub

MAY 15, 2024

Artificial Intelligence 101 has become a transformative force in many areas of our society, redefining our lives, jobs, and perception of the world. AI involves the use of systems or machines designed to emulate human cognitive ability, including problem-solving and learning from previous experiences.

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Artificial Inteligence Artificial Intelligence Technical Review Generative AI 83

Dell EMC

SEPTEMBER 23, 2020

When it comes to training and inference workloads for machine learning models, performance is king. MLPerf is a machine learning benchmark suite from the open source community that sets a new industry standard for benchmarking the performance of ML hardware, software and services. In a word, look to MLPerf.

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Artificial Inteligence Machine Learning Performance Technology 107

TechCrunch

JANUARY 5, 2021

Over time, it has streamlined what it does to two main platforms that it calls Selenium and Caesium, covering respectively navigation, mapping, perception, machine learning, data export and related technology; and fleet management. Our point is to be agnostic, to make sure it works on any hardware platform.”

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TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. Feast instead reuses existing cloud or on-premises hardware, spinning up new resources when needed.

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Artificial Inteligence Machine Learning Marketing Data Engineering 249

DevOps.com

JULY 14, 2021

Technologies like machine learning (ML) and artificial intelligence (AI) benefit infrastructure monitoring by more quickly collecting and analyzing data from all of the hardware and software components that comprise the IT stack. Infrastructure changes are occurring faster than ever […].

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Artificial Inteligence Infrastructure Artificial Intelligence Machine Learning 139

TechCrunch

JUNE 8, 2021

Autonomous vehicle startups that exist today use a combination of artificial intelligence algorithms and sensors to handle the tasks of driving that humans do, such as detecting and understanding objects and making decisions based on that information to safely navigate a lonely road or a crowded highway.

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TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. ” .

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

MARCH 26, 2025

AI-ready data is not something CIOs need to produce for just one application theyll need it for all applications that require enterprise-specific intelligence. Unfortunately, many IT leaders are discovering that this goal cant be reached using standard data practices, and traditional IT hardware and software.

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CTO Data Infrastructure Artificial Inteligence 193

TechCrunch

JANUARY 22, 2022

As their businesses grow and digitize, entrepreneurs across industries are embracing the cloud and adopting technologies like machine learning and data analytics to optimize business performance, save time and cut expenses. There are countless benefits to small businesses and startups.

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Palo Alto Networks

OCTOBER 30, 2024

As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. A supply chain attack, targeting a third-party code library, could potentially impact a wide range of downstream entities.

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Security Artificial Inteligence Infrastructure Government 105

TechCrunch

OCTOBER 15, 2021

Clarifai wants to bring artificial intelligence into the lives of developers, business operators and data scientists so they can automate and accelerate their model development. The company plans to unveil even more at its annual deep learning conference, Perceive 2021, on October 20. Clarifai is aimed at solving that problem.”.

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CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Some are relying on outmoded legacy hardware systems. Most have been so drawn to the excitement of AI software tools that they missed out on selecting the right hardware. Just starting out with analytics?

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

AWS Machine Learning - AI

APRIL 16, 2025

Traditional model serving approaches can become unwieldy and resource-intensive, leading to increased infrastructure costs, operational overhead, and potential performance bottlenecks, due to the size and hardware requirements to maintain a high-performing FM. The following diagram represents a traditional approach to serving multiple LLMs.

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TechCrunch

JUNE 30, 2022

Modular’s other co-founder, Tim Davis, is accomplished in his own right, having helped set the vision, strategy and roadmaps for Google machine learning products spanning small research groups to production systems. Image Credits: Modular.

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AWS Machine Learning - AI

MARCH 13, 2025

There are additional optional runtime parameters that are already pre-optimized in TGI containers to maximize performance on host hardware. We didnt try to optimize the performance for each model/hardware/use case combination. All models were run with dtype=bfloat16. Short-length test 512 input tokens, 256 output tokens.

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TechCrunch

APRIL 13, 2021

One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite , a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources.

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