IBM Journey to AI blog

SEPTEMBER 3, 2024

No technology in human history has seen as much interest in such a short time as generative AI (gen AI). Many leading tech companies are pouring billions of dollars into training large language models (LLMs). But can this technology justify the investment? Can it possibly live up to the hype? High hopes Back in the spring of 2023—quite a long time in the artificial intelligence (AI) space—Goldman Sachs released a report estimating that the emergence of generative AI could boost globa

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AI News

SEPTEMBER 3, 2024

Elon Musk’s xAI has unveiled its record-breaking AI training system, dubbed ‘Colossus’ Musk revealed that the xAI team had successfully brought the Colossus 100k H100 training cluster online after a 122-day process. Not content with its existing capabilities, Musk stated, “over the next couple of months, it will double in size, bringing it to 200k (50k H200s).” This weekend, the @xAI team brought our Colossus 100k H100 training cluster online.

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Analytics Vidhya

SEPTEMBER 3, 2024

Introduction How cool would it be if there was a platform where your creative visions come to life with just a few clicks—a world where you can fine-tune cutting-edge AI models to craft stunning images uniquely yours? Welcome to Civitai, a vibrant platform dedicated to empowering creators by providing access to a vast and ever-growing […] The post Why Should You Explore Civitai for Fine-Tuning AI Models?

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AI News

SEPTEMBER 3, 2024

The new UK Government is developing an AI strategy that prioritises public sector adoption over direct industry investment, as part of broader cost-cutting measures ahead of the autumn budget. Since taking office, the government has been reviewing AI-related expenditures and has already cancelled £1.3 billion worth of investments in related technologies proposed by the previous administration—including an £800 million investment for a supercomputer at the University of Edinburgh.

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Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

IBM Journey to AI blog

SEPTEMBER 3, 2024

A new challenge has emerged in the rapidly evolving world of artificial intelligence. “AI whisperers” are probing the boundaries of AI ethics by convincing well-behaved chatbots to break their own rules. Known as prompt injections or “jailbreaks,” these exploits expose vulnerabilities in AI systems and raise concerns about their security.

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Aiiot Talk

SEPTEMBER 3, 2024

The mining industry is undergoing a large transformation with new technologies such as artificial intelligence (AI). As more companies seek to enhance their operations, AI is becoming the top tool for modern mining processes. Managers can use its various capabilities to ensure their future success. How AI Is Revolutionizing the Mining Sector The mining industry positions itself to achieve greater results in cost-efficiency, productivity and safety with the power of innovative technology.

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Unite.AI

SEPTEMBER 3, 2024

Computational power has become a critical factor in pushing the boundaries of what's possible in machine learning. As models grow more complex and datasets expand exponentially, traditional CPU-based computing often falls short of meeting the demands of modern machine learning tasks. This is where CUDA (Compute Unified Device Architecture) comes, an approach to accelerate machine learning workflows.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

A new tool has been developed to catch students cheating with ChatGPT. It’s 99.9% effective. But OpenAI hasn’t released it because it’s mired in ethics concerns. It’s just one example of one of the major challenges facing AI. How can we monitor the technology to make sure it’s used ethically? For the past few years, the biggest names in AI have pushed for their tech to be used responsibly.

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Unite.AI

SEPTEMBER 3, 2024

Six minutes into Apollo 13’s mission to the moon In 1970, its oxygen tank exploded. The event prompted NASA to develop a new approach to predicting possible failures in its spacecraft. The approach relied on continuous sensor data, which then fed deep digital simulations, enabling much more rigorous testing of complex spacefaring systems. It was the very first use of “digital twin” technology.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Marktechpost

SEPTEMBER 3, 2024

The success of ANNs stems from mimicking simplified brain structures. Neuroscience reveals that neurons interact through various connectivity patterns, known as circuit motifs, which are crucial for processing information. However, most ANNs only model one or two such motifs, limiting their performance across different tasks—early ANNs, like multi-layer perceptrons, organized neurons into layers resembling synapses.

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Machine Learning Mastery

SEPTEMBER 3, 2024

When I was in high school and studied complex mathematics problems, I always used to think about why we were studying them or why they were useful. I was unable to understand and find their usage in the real world. Since machine learning is also a trending topic that many people want to explore, the […] The post 10 Machine Learning Algorithms Explained Using Real-World Analogies appeared first on MachineLearningMastery.com.

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Marktechpost

SEPTEMBER 3, 2024

Artificial intelligence (AI) has witnessed rapid advancements over the past decade, with significant strides in NLP, machine learning, and deep learning. Among the latest and most notable developments is the release of Llama-3.1-Storm-8B by Ashvini Kumar Jindal and team. This new AI model represents a considerable leap forward in language model capabilities, setting new benchmarks in performance, efficiency, and applicability across various industries.

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Artificial Lawyer

SEPTEMBER 3, 2024

Harvey has publicly launched BigLaw Bench, their own methodology for evaluating the accuracy of genAI tools when used on legal tasks, measuring ‘what % of.

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Marktechpost

SEPTEMBER 3, 2024

CausalLM has released miniG , a groundbreaking language model designed to bridge the gap between performance & efficiency. This innovative model stands out for its powerful capabilities and compact design, making advanced AI technology more accessible to a wider audience. As industries increasingly seek cost-effective and scalable AI solutions, miniG emerges as a transformative tool, setting a new standard in developing and deploying AI models.

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Towards AI

SEPTEMBER 3, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re in a busy kitchen, trying to prepare a gourmet meal. You’ve got various ingredients laid out, each needing a different cooking method — some need boiling, others frying, and a few should be baked.

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Marktechpost

SEPTEMBER 3, 2024

One of the core challenges in semilocal density functional theory (DFT) is the consistent underestimation of band gaps, primarily due to self-interaction and delocalization errors. This issue complicates the prediction of electronic properties and charge transfer mechanisms. Hybrid DFT, incorporating a fraction of exact exchange energy, offers improved band gap predictions but often requires system-specific tuning.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Towards AI

SEPTEMBER 3, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Surya Maddula Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Let’s discuss two popular ML algorithms, KNNs and K-Means. Stick around; I’ll make this densely packed. P.S. I’m trying out a new thing: I draw illustrations of graphs, etc., myself, so we’ll also look at some nice illustrations that help us understand the concept.

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Extreme Tech

SEPTEMBER 3, 2024

Researchers claim the hydrogel both cushions joints and delivers antibodies that slow the progression of osteoarthritis.

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Towards AI

SEPTEMBER 3, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re in a busy kitchen, trying to prepare a gourmet meal. You’ve got various ingredients laid out, each needing a different cooking method — some need boiling, others frying, and a few should be baked.

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Extreme Tech

SEPTEMBER 3, 2024

Cupertino's more affordable smartphones will soon offer displays on par with pricier models, if the rumor is to be believed.

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Marktechpost

SEPTEMBER 3, 2024

Large-scale language models have made significant progress in generative tasks involving multiple-speaker speech synthesis, music generation, and audio generation. The integration of speech modality into multimodal unified large models has also become popular, as seen in models like SpeechGPT and AnyGPT. These advancements are largely due to discrete acoustic codec representations used from neural codec models.

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Extreme Tech

SEPTEMBER 3, 2024

Turning plastic into gas allows it to feed a circular plastics economy, according to researchers.

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Machine Learning Mastery

SEPTEMBER 3, 2024

Machine learning projects often require the execution of a sequence of data preprocessing steps followed by a learning algorithm. Managing these steps individually can be cumbersome and error-prone. This is where sklearn pipelines come into play. This post will explore how pipelines automate critical aspects of machine learning workflows, such as data preprocessing, feature engineering, […] The post The Power of Pipelines appeared first on MachineLearningMastery.com.

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Extreme Tech

SEPTEMBER 3, 2024

It's the first Intel CPU made with a TSMC node and the first to include embedded memory.

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Marktechpost

SEPTEMBER 3, 2024

Large Language Models (LLMs) have gained significant prominence in recent years, driving the need for efficient GPU utilization in machine learning tasks. However, researchers face a critical challenge in accurately assessing GPU performance. The commonly used metric, GPU Utilization, accessed through nvidia-smi or integrated observability tools, has proven to be an unreliable indicator of actual computational efficiency.

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Extreme Tech

SEPTEMBER 3, 2024

The sonar-like pinging was due to a glitch in the complex ISS communication system.

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Marktechpost

SEPTEMBER 3, 2024

Artificial intelligence, particularly the development of large language models (LLMs), has been rapidly advancing, focusing on improving these models’ reasoning capabilities. As AI systems are increasingly tasked with complex problem-solving, it is crucial that they not only generate accurate solutions but also possess the ability to evaluate and refine their outputs critically.

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