AI News
OCTOBER 28, 2024
MIT researchers have developed a robot training method that reduces time and cost while improving adaptability to new tasks and environments. The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process.
Unite.AI
OCTOBER 28, 2024
It’s not exactly breaking news to say that AI has dramatically changed the cybersecurity industry. Both attackers and defenders alike are turning to artificial intelligence to uplevel their capabilities, each striving to stay one step ahead of the other. This cat-and-mouse game is nothing new—attackers have been trying to outsmart security teams for decades, after all—but the emergence of artificial intelligence has introduced a fresh (and often unpredictable) element to the dynamic.
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Analytics Vidhya
OCTOBER 28, 2024
IBM’s latest addition to its Granite series, Granite 3.0, marks a significant leap forward in the field of large language models (LLMs). Granite 3.0 provides enterprise-ready, instruction-tuned models with an emphasis on safety, speed, and cost-efficiency focused on balancing power and practicality. The Granite 3.0 series enhances IBM’s AI offerings, particularly in domains where precision, […] The post IBM Granite-3.0 Model: A Guide to Model Setup and Usage appeared first on Analytics Vid
Unite.AI
OCTOBER 28, 2024
Lightning AI is the creator of PyTorch Lightning , a framework designed for training and fine-tuning AI models, as well as Lightning AI Studio. PyTorch Lightning was initially developed by William Falcon in 2015 while he was at Columbia University. It was later open-sourced in 2019 during his PhD at NYU and Facebook AI Research, under the guidance of Kyunghyun Cho and Yann LeCun.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
Marktechpost
OCTOBER 28, 2024
Curious about the future of AI? Want to witness firsthand how AI can generate creative text, code, or even art? AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. Here is a list of ten free platforms that empower you to shape the future of AI. First, let us understand what is an AI playground.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
ODSC - Open Data Science
OCTOBER 28, 2024
Various technological advancements have made synthetic identity theft easier than ever. At the same time, massive breaches are exposing sensitive personally identifiable information (PII) at an unnerving rate. Can data science techniques protect individuals’ identities? What Is Synthetic Identity Fraud? Synthetic identity fraud is a type of identity theft that occurs when a fraudster uses some combination of real and fake credentials to steal someone’s identity and commit financial fraud.
Marktechpost
OCTOBER 28, 2024
Knowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge representations from expansive, unstructured text data. These structured graphs have pivotal applications in areas requiring information retrieval and reasoning, such as question answering, complex data summarization, and retrieval-augmented generation (RAG).
Analytics Vidhya
OCTOBER 28, 2024
In today’s world of video and image analysis, detector models play a vital role in the technology. They should be ideally accurate, speedy and scalable. Their applications vary from small factory detection tasks to self-driving cars and also help in advanced image processing. The YOLO (You Only Look Once) model has purely pushed the boundaries […] The post A Comprehensive Guide to YOLOv11 Object Detection appeared first on Analytics Vidhya.
Marktechpost
OCTOBER 28, 2024
Datasets and pre-trained models come with intrinsic biases. Most methods rely on spotting them by analyzing misclassified samples in a semi-automated human computer validation. Deep neural networks, typically fine-tuned foundational models, are widely used in sectors like healthcare, finance, and criminal justice, where biased predictions can have serious societal impacts.
Speaker: Matt Sunshine, CEO at The Center for Sales Strategy
AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.
Analytics Vidhya
OCTOBER 28, 2024
This guide dives into building a custom conversational agent with LangChain, a powerful framework that integrates Large Language Models (LLMs) with a range of tools and APIs. Designed for versatility, the agent can tackle tasks like generating random numbers, sharing philosophical insights, and dynamically fetching and extracting content from webpages.
Marktechpost
OCTOBER 28, 2024
In recent years, formal software verification has gained prominence, especially in fields where software reliability is critical, such as aerospace engineering, finance, and healthcare. Proof assistants like Coq have been instrumental in ensuring the correctness of software by enabling developers to create mathematical proofs to verify their code. However, writing such formal proofs is a labor-intensive and time-consuming task, requiring considerable expertise.
TensorFlow
OCTOBER 28, 2024
Posted by the TensorFlow team TensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more. For the full release notes, please click here. Note: Release updates on the new multi-backend Keras will be published on keras.io , starting with Keras 3.0. For more information, please see [link].
Analytics Vidhya
OCTOBER 28, 2024
As large language models (LLMs) continue to grow in scale, so does the need for efficient ways to store, deploy, and run them on low-resource devices. While these models offer powerful capabilities, their size and memory demands can make deployment a challenge, especially on consumer hardware. This is where model quantization and specialized storage formats […] The post How to Convert Models to GGUF Format?
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Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.
Marktechpost
OCTOBER 28, 2024
LLMWare.ai , a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the largest collections of SLMs that are optimized for Intel PCs. With over 100 models spanning multiple use cases such as chat, coding, math, function calling, and embedding models, Model Depot aims to provide to the open-source AI community an unprecedented collection of the latest SLMs that are optimized for Intel-based PCs in Intel’s OpenVINO a
Allen AI
OCTOBER 28, 2024
Much of the recent advancements in large language models (LLMs) have been powered by human feedback, usually in the form of preference datasets. Think of preferences as a judgment between two (or more) model outputs given a user prompt. Say for example you’re deciding between two ad copies for a sourdough business you’re starting–which one do you prefer?
Marktechpost
OCTOBER 28, 2024
The efficient training of vision models is still a major challenge in AI because Transformer-based models suffer from computational bottlenecks due to the quadratic complexity of self-attention mechanisms. Also, the ViTs, although extremely promising results on hard vision tasks, require extensive computational and memory resources, making them impossible to use under real-time or resource-constrained conditions.
AWS Machine Learning Blog
OCTOBER 28, 2024
In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. This post presents an architectural approach to extract data from different cloud environments, such as Google Cloud Platform (GCP) BigQuery, without the need for data movement.
Speaker: Beth Sunshine, SVP, Up Your Culture
When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.
Analytics Vidhya
OCTOBER 28, 2024
Are you all set for the upcoming holidays? Or are you bogged down by all the time and effort it’s taking to make all the arrangements? These festivals have become yet another project that we wish to ace, no? Much like any professional project that we take up these days, we can get assistance for […] The post 7 Ways to Celebrate this Festive Season with Generative AI appeared first on Analytics Vidhya.
SAS Software
OCTOBER 28, 2024
Generative AI (GenAI) initiatives should support broader public goals and needs, says global AI and analytics firm SAS’ Ensley Tan. While governments recognize GenAI's potential to improve operational efficiency and citizen experience, there is more to it than setting up projects and expecting them to work. Tan, Asia-Pacific Lead for Public [.
Machine Learning Research at Apple
OCTOBER 28, 2024
The rapid evolution of Large Language Models (LLMs) and conversational assistants necessitates dynamic, scalable, and configurable conversational datasets for training and evaluation. These datasets must accommodate diverse user interaction modes, including text and voice, each presenting unique modeling challenges. Knowledge Graphs (KGs), with their structured and evolving nature, offer an ideal foundation for current and precise knowledge.
Artificial Lawyer
OCTOBER 28, 2024
The questions keep coming up: if genAI will increasingly be able to do process-level work, what happens to the most junior associates? What work will.
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85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.
Extreme Tech
OCTOBER 28, 2024
After an upcoming remaster was said to be compatible with 'Nintendo platforms,' fans began to speculate that the Switch 2 announcement would come before Nintendo's Nov. 5 earnings report.
OCTOBER 28, 2024
To learn more about current AI capabilities and to challenge myself, I decided to see what I could create in just 24 hours. This story is about making a complete music video clip, from start to finish, using AI tools. Everything in this music video is AI-generated, and I mean EVERYTHING: lyrics, music, voice, images, and videos.
NVIDIA
OCTOBER 28, 2024
Financial losses from worldwide credit card transaction fraud are expected to reach $43 billion by 2026. A new NVIDIA AI workflow for fraud detection running on Amazon Web Services (AWS) can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud.
Extreme Tech
OCTOBER 28, 2024
This is just a taste of Apple's long-awaited AI play, which will culminate in early 2025.
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The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.
NVIDIA
OCTOBER 28, 2024
An overwhelming 91% of financial services industry (FSI) companies are either assessing artificial intelligence or already have it in the bag as a tool that’s driving innovation, improving operational efficiency and enhancing customer experiences. Generative AI — powered by NVIDIA NIM microservices and accelerated computing — can help organizations improve portfolio optimization, fraud detection , customer service and risk management.
Extreme Tech
OCTOBER 28, 2024
The system is designed to help people or groups with opposing viewpoints understand each other, but its achievements are fairly weak so far.
Marktechpost
OCTOBER 28, 2024
When applying Reinforcement Learning (RL) to real-world applications, two key challenges are often faced during this process. Firstly, the constant online interaction and update cycle in RL places major engineering demands on large systems designed to work with static ML models needing only occasional offline updates. Secondly, RL algorithms usually start from scratch, relying solely on information gathered during these interactions, limiting both their efficiency and adaptability.
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