Wed.Sep 11, 2024

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Muscle-Powered Robotics: A New Frontier in Biomimetic Engineering

Unite.AI

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.

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Has Huawei outsmarted Apple in the AI race?

AI News

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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Anais Dotis-Georgiou, Developer Advocate at InfluxData – Interview Series

Unite.AI

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.

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Agentic Frameworks for Generative AI Applications

Analytics Vidhya

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.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Speech AI apps: 8 new Speech AI tools, releases, updates, and more

AssemblyAI

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.

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NVIDIA and Oracle to Accelerate AI and Data Processing for Enterprises

NVIDIA

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

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Search Gets Smarter: How OpenAI’s SearchGPT is Changing the Game

Unite.AI

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.

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PowerLM-3B and PowerMoE-3B Released by IBM: Revolutionizing Language Models with 3 Billion Parameters and Advanced Power Scheduler for Efficient Large-Scale AI Training

Marktechpost

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.

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Building a Conversational Medical Form with GPT-4, Langchain, and SQLite

Towards AI

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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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FPT Software AI Center Introduces HyperAgent: A Groundbreaking Generalist Agent System to Resolve Various Software Engineering Tasks at Scale, Achieving SOTA Performance on SWE-Bench and Defects4J

Marktechpost

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

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Building & Deploying a FastAPI Video Description App: From Code to Cloud with GPT, Docker and Azure

Towards AI

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.

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Apple Researchers Propose a Novel AI Algorithm to Optimize a Byte-Level Representation for Automatic Speech Recognition ASR and Compare it with UTF-8 Representation

Marktechpost

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.

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Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

AWS Machine Learning Blog

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.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Understanding the Hidden Layers in Large Language Models LLMs

Marktechpost

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.

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SimpleClosure: A Legal Tech Story of Triumph Over Adversity

Artificial Lawyer

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.

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CMU Researchers Introduce MMMU-Pro: An Advanced Version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) Benchmark for Evaluating Multimodal Understanding in AI Models

Marktechpost

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.

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Optimizing MLOps for Sustainability

AWS Machine Learning Blog

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.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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MiniCPM3-4B Released by OpenBMB: A Versatile and Efficient Language Model with Advanced Functionality, Extended Context Handling, and Code Generation Capabilities

Marktechpost

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.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

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.

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SuRF: An Unsupervised Surface-Centric Framework for High-Fidelity 3D Reconstruction with Region Sparsification

Marktechpost

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.

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PS5 Pro's $700 Price Tag Reflects 'Lack of Competition,' Analyst Says

Extreme Tech

Translation: No one else is releasing a mid-cycle console upgrade this powerful, so Sony can do as it pleases.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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Stanford Researchers Explore Inference Compute Scaling in Language Models: Achieving Enhanced Performance and Cost Efficiency through Repeated Sampling

Marktechpost

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.

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Rare Footage of a Satellite Reentering Earth's Atmosphere Captured

Extreme Tech

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.

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MAPF-GPT: A Decentralized and Scalable AI Approach to Multi-Agent Pathfinding

Marktechpost

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.

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8 free resources to start your SAS journey

SAS Software

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 [.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Strategic Chain-of-Thought (SCoT): An Unique AI Method Designed to Refine Large Language Model (LLM) Performance and Reasoning Through Strategy Elicitation

Marktechpost

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.

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Enabling complex generative AI applications with Amazon Bedrock Agents

AWS Machine Learning Blog

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,

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PS5 Disc Drive Accessory Sold Out Online Following PS5 Pro Reveal

Extreme Tech

Major retailers like Amazon, Best Buy, and Target are fresh out of the $79 drive.

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