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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.
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
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.
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.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
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.
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
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
Reflection 70B is an open-source large language model (LLM) developed by HyperWrite. This new model introduces an approach to AI cognition that could reshape how we interact with and rely on AI systems in numerous fields, from language processing to advanced problem-solving. Leveraging Reflection-Tuning , a groundbreaking technique that allows the model to self-assess and correct its own mistakes in real-time, Reflection 70B has quickly risen to the top, outclassing proprietary models like GPT-4
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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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.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
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
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
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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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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
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.
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
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.
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.
If you’d told Artificial Lawyer a few years ago that no-code automation pioneer Bryter would be offering AI-driven contract review it would have fallen off.
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