October, 2023

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From Internet of Things to Internet of Everything: The Convergence of AI & 6G for Connected Intelligence

Unite.AI

Internet of Things (IoT) establishes a network for connecting physical objects, such as devices, machines, sensors, or any equipment with processing abilities that can connect to the Internet. It refers to a digitally connected universe built on smart devices like fitness trackers, home voice assistants, smart thermostats, etc. IoT market is growing rapidly.

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Reflections on AI Engineer Summit 2023

Eugene Yan

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

professionals

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Biden issues sweeping executive order on AI

Flipboard

President Biden issued a highly anticipated, sweeping executive order on artificial intelligence (AI) on Monday, focused on seizing on the emerging technology and managing its risks. The order includes several new actions, which focus on areas like safety, privacy, protecting workers, and protecting innovation.

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Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning

NVIDIA

A new AI agent developed by NVIDIA Research that can teach robots complex skills has trained a robotic hand to perform rapid pen-spinning tricks — for the first time as well as a human can. The stunning prestidigitation, showcased in the video above, is one of nearly 30 tasks that robots have learned to expertly accomplish thanks to Eureka, which autonomously writes reward algorithms to train bots.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Llemma: An Open Language Model For Mathematics

Eleuther.ai

ArXiv | Models | Data | Code | Blog | Sample Explorer Today we release Llemma: 7 billion and 34 billion parameter language models for mathematics. The Llemma models were initialized with Code Llama weights, then trained on the Proof-Pile II, a 55 billion token dataset of mathematical and scientific documents. The resulting models show improved mathematical capabilities, and can be adapted to various tasks through prompting or additional fine-tuning.

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More Trending

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Midjourney vs Stable Diffusion: The Battle of AI Image Generators

Unite.AI

AI image-generation tools are improving rapidly. Every week, there is a new tool on the market. According to Global Market Insights , the AI image generator market will reach approximately $944 million by 2032, compared to $213.8 million in 2022, growing at a compound annual growth rate of 16.5%. These tools are capable of creating photo-realistic and creative images.

AI 334
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Can Language Models Replace Programmers? Researchers from Princeton and the University of Chicago Introduce SWE-bench: An Evaluation Framework that Tests Machine Learning Models on Solving Real Issues from GitHub

Marktechpost

Evaluating the proficiency of language models in addressing real-world software engineering challenges is essential for their progress. Enter SWE-bench, an innovative evaluation framework that employs Python repositories’ GitHub issues and pull requests to gauge these models’ ability to tackle coding tasks and problem-solving. Surprisingly, the findings reveal that even the most advanced models can only handle straightforward issues.

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White House drops an AI regulation bombshell: 10 new mandates that'll shake up the industry

Flipboard

Open AI, Google, Microsoft, and other prominent AI players must answer to the new AI legislation. The White House just announced a thunderous executive order tackling AI regulation.

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A glimpse of the next generation of AlphaFold

DeepMind

Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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NVIDIA Expands Robotics Platform to Meet the Rise of Generative AI

NVIDIA

Powerful generative AI models and cloud-native APIs and microservices are coming to the edge. Generative AI is bringing the power of transformer models and large language models to virtually every industry. That reach now includes areas that touch edge, robotics and logistics systems: defect detection, real-time asset tracking, autonomous planning and navigation, human-robot interactions and more.

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K-Means Clustering for Image Classification Using OpenCV

Machine Learning Mastery

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple two-dimensional dataset containing distinct clusters, […] The post K-Means Clustering for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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Mistral AI: Setting New Benchmarks Beyond Llama2 in the Open-Source Space

Unite.AI

Large Language Models (LLMs) have recently taken center stage, thanks to standout performers like ChatGPT. When Meta introduced their Llama models, it sparked a renewed interest in open-source LLMs. The aim? To create affordable, open-source LLMs that are as good as top-tier models such as GPT-4, but without the hefty price tag or complexity. This mix of affordability and efficiency not only opened up new avenues for researchers and developers but also set the stage for a new era of technologica

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A New AI Study from MIT Shows How Deep Neural Networks Don’t See the World the Way We Do

Marktechpost

In the pursuit of replicating the complex workings of the human sensory systems, researchers in neuroscience and artificial intelligence face a persistent challenge: the disparity in invariances between computational models and human perception. As highlighted in recent studies, including one conducted by a team of scientists, artificial neural networks designed to mimic the various functions of the human visual and auditory systems often exhibit invariances that do not align with those found in

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Sweeping new Biden order aims to alter the AI landscape

Flipboard

The White House is poised to make an all-hands effort to impose national rules on a fast-moving technology, according to a draft executive order President Joe Biden will deploy numerous federal agencies to monitor the risks of artificial intelligence and develop new uses for the technology while …

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New Portable Water Treatment System Vaporizes 99% of ‘Forever Chemicals’

Extreme Tech

Aquagga’s ‘PFAS Destruction Unit’ fits within a small freight container and uses common ingredients to dismantle persistent toxic chemicals.

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Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

NVIDIA

Generative AI is one of the most important trends in the history of personal computing, bringing advancements to gaming, creativity, video, productivity, development and more. And GeForce RTX and NVIDIA RTX GPUs, which are packed with dedicated AI processors called Tensor Cores, are bringing the power of generative AI natively to more than 100 million Windows PCs and workstations.

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Training LLMs at Scale with AMD MI250 GPUs

databricks

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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The Urgent Need for GenAI Skills in Project Management

Unite.AI

Getting ahead of challenges, navigating disruption, and minimizing risks—they are all integral to today’s conversations about the future of generative AI (GenAI). They are also integral to the role that project management professionals have been performing for decades. Despite their daily familiarity with these issues, many project professionals may find themselves unprepared for how their organizations will leverage GenAI or how it will affect their jobs specifically.

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Meta AI Researchers Introduce RA-DIT: A New Artificial Intelligence Approach to Retrofitting Language Models with Enhanced Retrieval Capabilities for Knowledge-Intensive Tasks

Marktechpost

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). RA-DIT is a lightweight fine-tuning methodology designed to equip any LLM with efficient retrieval capabilities.

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The Mega Trends That Will Shape Our Future World

Flipboard

Picture this: The year is 2040. You’ve just disembarked from a hypersonic flight from New York to London, a mere two-hour journey, and then take an air urban mobility “drone” to beat London’s rush hour traffic to be home in 20 minutes.

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Woman’s Experimental Bionic Hand Is Fused to Her Bone and Nervous System

Extreme Tech

The bionic hand has recovered the woman's ability to sense pressure and texture and also reduced the amount of phantom pain she's experienced post-amputation.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Meet the Maker: Robotics Student Rolls Out Autonomous Wheelchair With NVIDIA Jetson

NVIDIA

With the help of AI, robots, tractors and baby strollers — even skate parks — are becoming autonomous. One developer, Kabilan KB, is bringing autonomous-navigation capabilities to wheelchairs, which could help improve mobility for people with disabilities. The undergraduate from the Karunya Institute of Technology and Sciences in Coimbatore, India, is powering his autonomous wheelchair project using the NVIDIA Jetson platform for edge AI and robotics.

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Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2

databricks

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

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Neural Networks Achieve Human-Like Language Generalization

Unite.AI

In the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a significant milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development is not just a step, but a giant leap towards bridging the gap between human cognition and AI capabilities.

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Google DeepMind Researchers Introduce Promptbreeder: A Self-Referential and Self-Improving AI System that can Automatically Evolve Effective Domain-Specific Prompts in a Given Domain

Marktechpost

Large Language Models (LLMs) have gained a lot of attention for their human-imitating properties. These models are capable of answering questions, generating content, summarizing long textual paragraphs, and whatnot. Prompts are essential for improving the performance of LLMs like GPT-3.5 and GPT-4. The way that prompts are created can have a big impact on an LLM’s abilities in a variety of areas, including reasoning, multimodal processing, tool use, and more.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Health providers say AI chatbots could improve care. But research says some are perpetuating racism

Flipboard

SAN FRANCISCO (AP) — As hospitals and health care systems turn to artificial intelligence to help summarize doctors’ notes and analyze health records, a new study led by Stanford School of Medicine researchers cautions that popular chatbots are perpetuating racist, debunked medical ideas, prompting …

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Tesla's Bill to Fix a Rain-Damaged Battery: $21,000

Extreme Tech

The automaker told the incensed couple that water ingress wasn't covered under the battery's eight-year warranty.

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Silicon Volley: Designers Tap Generative AI for a Chip Assist

NVIDIA

A research paper released today describes ways generative AI can assist one of the most complex engineering efforts: designing semiconductors. The work demonstrates how companies in highly specialized fields can train large language models ( LLMs ) on their internal data to build assistants that increase productivity. Few pursuits are as challenging as semiconductor design.