CIO

MARCH 20, 2025

Global competition is heating up among large language models (LLMs), with the major players vying for dominance in AI reasoning capabilities and cost efficiency. OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence.

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CIO

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. That question isn’t set to the LLM right away. And it’s more effective than using simple documents to provide context for LLM queries, she says.

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TechCrunch

SEPTEMBER 22, 2021

technology, machine learning, hardware, software — and yes, lasers! Founded by a team whose backgrounds include physics, stem cell biology, and machine learning, Cellino operates in the regenerative medicine industry. — could eventually democratize access to cell therapies.

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CIO

APRIL 25, 2025

Artificial Intelligence Average salary: $130,277 Expertise premium: $23,525 (15%) AI tops the list as the skill that can earn you the highest pay bump, earning tech professionals nearly an 18% premium over other tech skills. Read on to find out how such expertise can make you stand out in any industry.

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AWS Machine Learning - AI

DECEMBER 2, 2024

In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). You’ll learn about the key benefits of Container Caching, including faster scaling, improved resource utilization, and potential cost savings.

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AWS Machine Learning - AI

APRIL 10, 2025

Distributed training workloads run in a synchronous manner because each training step requires all participating instances to complete their calculations before the model can advance to the next step. As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. days on 440 x A100-40GB.

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CIO

OCTOBER 24, 2024

Device replacement cycle In addition to large percentage increases in the data center and software segments in 2025, Gartner is predicting a 9.5% growth in device spending. Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds. CEO and president there.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. top_p=0.95) # Create an LLM. choices[0].text'

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AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

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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. These models are increasingly being integrated into applications and networks across every sector of the economy.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. Solution overview We can use SMP with both Amazon SageMaker Model training jobs and Amazon SageMaker HyperPod.

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AWS Machine Learning - AI

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). You have the option to quantize the model.

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TechCrunch

DECEMBER 12, 2023

Ensuring that usually entails deploying petri-dish-based microbiological monitoring, hardware and waiting for tests to return from labs. The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. All rights reserved.

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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 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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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 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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TechCrunch

OCTOBER 25, 2022

Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive. Axelera’s test chip for accelerating AI and machine learning workloads.

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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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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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TechCrunch

DECEMBER 14, 2022

EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.

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TechCrunch

AUGUST 30, 2022

Mavenoid , a Swedish company that provides both human- and AI-enabled support and troubleshooting tools for hardware companies, has raised $30 million in a series B round of funding. Hardware issues are repetitive, difficult, and time-consuming to fix. ” Technical support. .”

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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

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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TechCrunch

JANUARY 8, 2024

Improvements to processing power, machine learning and cloud platforms have all played key roles in this development. Personal translation devices have had a hugely transformative decade.

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AWS Machine Learning - AI

APRIL 30, 2025

Experiment results To evaluate model distillation in the function call use case, we used the BFCL v2 dataset and filtered it to specific domains (entertainment, in this case) to match a typical use case of model customization. As the model size increases (Llama 3.1 70B and Llama 3.1 405B), the pricing scales steeply.

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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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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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CIO

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Fortunately, most organizations can build on publicly available proprietary or open-source models.

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TechCrunch

MARCH 27, 2023

But WaveOne’s website was shut down around January, and several former employees , including one of WaveOne’s co-founders , now work within Apple’s various machine learning groups. YouTube servers) while end-users’ machines handle the decompressing. Investors saw the potential, apparently.

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TechCrunch

APRIL 20, 2023

Venturo, a hobbyist Ethereum miner, cheaply acquired GPUs from insolvent cryptocurrency mining farms, choosing Nvidia hardware for the increased memory (hence Nvidia’s investment in CoreWeave, presumably). ” Them’s fighting words, to be sure, especially as AWS launches a dedicated service for serving text-generating models.

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TechCrunch

AUGUST 19, 2023

So until an AI can do it for you, here’s a handy roundup of the last week’s stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own. There is scientific value in thinking about connections between biological hardware and large-scale artificial intelligence networks.

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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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TechCrunch

JUNE 22, 2021

Everyone knows the expression “hardware is hard,” so it’s interesting to see Merlyn addressing its problem with a hardware-forward approach. Nitta was very ready with his defense for this one: “I’ll tell you why we built our own hardware,” he told me.

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CIO

OCTOBER 3, 2024

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

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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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AWS Machine Learning - AI

MARCH 11, 2025

DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. We demonstrate how to deploy these models on SageMaker AI inference endpoints.

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