Unite.AI
SEPTEMBER 11, 2024
In a notable development in the field of robotics, researchers at ETH Zurich and the Max Planck Institute for Intelligent Systems have unveiled a new robotic leg that mimics biological muscles more closely than ever before. This innovation marks a significant departure from traditional robotics, which has relied on motor-driven systems for nearly seven decades.
AI News
SEPTEMBER 11, 2024
What was supposed to herald a new era of AI for Apple has instead left many underwhelmed when the tech giant unveiled the iPhone 16 series, its first AI-powered smartphone line-up, which happens to be still in beta testing and expected to take months, if not years, to fully roll out globally. To make matters worse for the Cupertino, California-based smartphone maker, Chinese tech giant Huawei launched its new Mate XT smartphone just hours after the former’s event, boasting far more impress
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Unite.AI
SEPTEMBER 11, 2024
Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.
Analytics Vidhya
SEPTEMBER 11, 2024
Introduction Imagine having an AI-powered assistant that not only responds to your queries but also autonomously gathers information, executes tasks, and even handles multiple types of data—text, images, and code. Sounds futuristic? In this article, we dive into the autogen framework, a cutting-edge technology that enables you to build such intelligent, multimodal conversational agents.
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
AssemblyAI
SEPTEMBER 11, 2024
More companies are building with Speech AI than ever before, thanks to the increased accuracy, speed, and availability of Speech AI models. Companies across industries are integrating Speech AI to build next-generation meeting note-takers, digital advertising tools, conversation intelligence tools, and more. The past few months have been no exception.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
NVIDIA
SEPTEMBER 11, 2024
Enterprises are looking for increasingly powerful compute to support their AI workloads and accelerate data processing. The efficiency gained can translate to better returns for their investments in AI training and fine-tuning, and improved user experiences for AI inference. At the Oracle CloudWorld conference today, Oracle Cloud Infrastructure (OCI) announced the first zettascale OCI Supercluster, accelerated by the NVIDIA Blackwell platform, to help enterprises train and deploy next-generation
Unite.AI
SEPTEMBER 11, 2024
In our increasingly interconnected world, efficient and accurate Web search has become critical. Whether students gather information for their academic projects or professionals want to stay updated with the latest industry trends, search engines have become an essential part of our daily routines. However, while helpful, traditional search engines often come with their challenges.
Marktechpost
SEPTEMBER 11, 2024
IBM’s release of PowerLM-3B and PowerMoE-3B signifies a significant leap in effort to improve the efficiency and scalability of language model training. IBM has introduced these models based on innovative methodologies that address some of the key challenges researchers and developers face in training large-scale models. These models, built on top of IBM’s Power scheduler , demonstrate IBM’s commitment to advancing AI capabilities while optimizing computational costs.
Towards AI
SEPTEMBER 11, 2024
Last Updated on September 11, 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 sitting in a doctor’s office. Instead of filling out a cold, static medical form filled with dozens of boxes to tick and questions to answer, you’re having a conversation with a friendly assistant.
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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?
Marktechpost
SEPTEMBER 11, 2024
Large Language Models (LLMs) have revolutionized software engineering, demonstrating remarkable capabilities in various coding tasks. While recent efforts have produced autonomous software agents based on LLMs for end-to-end development tasks, these systems are typically designed for specific Software Engineering (SE) tasks. Researchers from FPT Software AI Center, Viet Nam, introduce HyperAgent, a novel generalist multi-agent system designed to address a wide spectrum of SE tasks across differe
Towards AI
SEPTEMBER 11, 2024
Last Updated on September 11, 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. Ever wanted to turn a video into a text description without manually watching and writing down the details? Well, you’re in luck! Today, we’re going to build a FastAPI application that takes a video URL as input and generates a description using AI.
Marktechpost
SEPTEMBER 11, 2024
End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the number of supported languages increases, particularly those with large character sets like Chinese, Japanese, and Korean (CJK), the output layer size grows substantially. This expansion negatively impacts compute resources, memory usage, and asset size.
AWS Machine Learning Blog
SEPTEMBER 11, 2024
Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series data include sales revenue, system performance data (such as CPU utilization and memory usage), credit card transactions, sensor readings, and user activity analytics.
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
Marktechpost
SEPTEMBER 11, 2024
Hebrew University Researchers addressed the challenge of understanding how information flows through different layers of decoder-based large language models (LLMs). Specifically, it investigates whether the hidden states of previous tokens in higher layers are as crucial as believed. Current LLMs, such as transformer-based models, use the attention mechanism to process tokens by attending to all previous tokens in every layer.
Artificial Lawyer
SEPTEMBER 11, 2024
Every startup has a foundation story, but SimpleClosure’s is one of the best. Here’s that story – followed by what this very original company can do.
Marktechpost
SEPTEMBER 11, 2024
Multimodal large language models (MLLMs) are increasingly applied in diverse fields such as medical image analysis, engineering diagnostics, and even education, where understanding diagrams, charts, and other visual data is essential. The complexity of these tasks requires MLLMs to seamlessly switch between different types of information while performing advanced reasoning.
AWS Machine Learning Blog
SEPTEMBER 11, 2024
Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. What is MLOps provides a detailed description of this concept. As ML workloads become increasingly complex and consume more energy and resources, a growing number of companies are looking for ways to manage both the costs and the carbon footprint associated with these workloads.
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.
Marktechpost
SEPTEMBER 11, 2024
OpenBMB recently released the MiniCPM3-4B , the third-generation model in the MiniCPM series. This model marks a great step forward in the capabilities of smaller-scale language models. Designed to deliver powerful performance with relatively modest resources, the MiniCPM3-4B model demonstrates a range of enhancements over its predecessors, particularly in functionality and versatility.
AWS Machine Learning Blog
SEPTEMBER 11, 2024
Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionable insights from it. The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics.
Marktechpost
SEPTEMBER 11, 2024
Reconstructing high-fidelity surfaces from multi-view images, especially with sparse inputs, is a critical challenge in computer vision. This task is essential for various applications, including autonomous driving, robotics, and virtual reality, where accurate 3D models are necessary for effective decision-making and interaction with real-world environments.
Extreme Tech
SEPTEMBER 11, 2024
Translation: No one else is releasing a mid-cycle console upgrade this powerful, so Sony can do as it pleases.
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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!
Marktechpost
SEPTEMBER 11, 2024
AI has seen significant progress in coding, mathematics, and reasoning tasks. These advancements are driven largely by the increased use of large language models (LLMs), essential for automating complex problem-solving tasks. These models are increasingly used to handle highly specialized and structured problems in competitive programming, mathematical proofs, and real-world coding issues.
Extreme Tech
SEPTEMBER 11, 2024
Though not particularly high-fidelity, the ESA footage should give space agencies insight into what happens when a piece of equipment heads back to Earth.
Marktechpost
SEPTEMBER 11, 2024
Multi-agent pathfinding (MAPF), within computer science and robotics, deals with the problem of routing multiple agents, such as robots, to their individual goals within a shared environment. These agents must find collision-free paths while maintaining a high level of efficiency. MAPF is crucial for applications such as automated warehouses, traffic management, and drone fleets.
SAS Software
SEPTEMBER 11, 2024
Data and AI literacy are no longer optional but essential for success in both academic and professional settings. Educators are tasked with equipping students with the skills necessary to analyze and interpret information effectively. However, students and businesses can also learn these essential skills through available resources. SAS education resources [.
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.
Marktechpost
SEPTEMBER 11, 2024
One important tactic for improving large language models’ (LLMs’) capacity for reasoning is the Chain-of-Thought (CoT) paradigm. By encouraging models to divide tasks into intermediate steps, much like humans methodically approach complex problems, CoT improves the problem-solving process. This method has proven to be extremely effective in a number of applications, earning it a key position in the natural language processing (NLP) community.
AWS Machine Learning Blog
SEPTEMBER 11, 2024
In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock , while the second explored building custom generative AI applications with Amazon Bedrock. Now I’d like to take a closer look at Amazon Bedrock Agents , which empowers our customers to build intelligent and context-aware generative AI applications, streamlining complex workflows and delivering natural,
Extreme Tech
SEPTEMBER 11, 2024
Major retailers like Amazon, Best Buy, and Target are fresh out of the $79 drive.
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