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Uber Technologies Inc.’s gig-economy workforce now includes programmers. The company is expanding beyond its rideshare roots to enter a hot new market: helping other businesses outsource some of their artificial intelligence development to independent contractors.
A team of generative AI researchers created a Swiss Army knife for sound, one that allows users to control the audio output simply using text. While some AI models can compose a song or modify a voice, none have the dexterity of the new offering. Called Fugatto (short for Foundational Generative Audio Transformer Opus 1), it generates or transforms any mix of music, voices and sounds described with prompts using any combination of text and audio files.
Matthew Ikle is the Chief Science Officer at SingularityNET , a company founded with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence. An ‘AGI’ that is not dependent on any central entity, that is open for anyone and not restricted to the narrow goals of a single corporation or even a single country.
Anthropic is proposing a new standard for connecting AI assistants to the systems where data resides. Called the Model Context Protocol, or MCP for short, Anthropic says the standard, which it open sourced today, could help AI models produce better, more relevant responses to queries.
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
NVIDIA and Microsoft today unveiled product integrations designed to advance full-stack NVIDIA AI development on Microsoft platforms and applications. At Microsoft Ignite , Microsoft announced the launch of the first cloud private preview of the Azure ND GB200 V6 VM series , based on the NVIDIA Blackwell platform. The Azure ND GB200 v6 will be a new AI-optimized virtual machine (VM) series and combines the NVIDIA GB200 NVL72 rack design with NVIDIA Quantum InfiniBand networking.
OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. Reportedly led by a dozen AI researchers, scientists, and investors, the new training techniques, which underpin OpenAI’s recent ‘o1’ model (formerly Q* and Strawb
OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. Reportedly led by a dozen AI researchers, scientists, and investors, the new training techniques, which underpin OpenAI’s recent ‘o1’ model (formerly Q* and Strawb
The year 2024 was nothing short of a rollercoaster for OpenAI, a company that has become synonymous with the cutting edge of artificial intelligence. From groundbreaking product launches to leadership shake-ups and even legal disputes, OpenAI navigated a whirlwind of events. These happenings showcased both the promise and the challenges of building advanced AI systems […] The post 2024 for OpenAI: Highs, Lows, and Everything in Between appeared first on Analytics Vidhya.
The integration of voice communication and AI represents a big step forward in human-machine interaction that can potentially transform traditional methods of communication. For instance, in the context of a phone call, you no longer need another human to be present on the other end of the line. Instead, people can engage in natural, conversational interactions with AI systems.
AI has come a long way in visual perception and language processing. However, these abilities are not enough for building systems that can interact with the physical world. Humans handle objects or make controlled movements using the sense of touch. We feel texture, sense temperature, and gauge weight to guide each action with accuracy. This tactile feedback allows us to manipulate fragile items, use tools with control, and perform intricate tasks smoothly.
It’s been nearly 6 months since our research into which AI tools software engineers use, in the mini-series, AI tooling for software engineers: reality check. At the time, the most popular tools were ChatGPT for LLMs, and GitHub copilot for IDE-integrated tooling. Then this summer, I saw the Cursor IDE becoming popular around when Anthropic’s Sonnet 3.5 model was released, which has superior code generation compared to ChatGPT.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Generative AI (Gen AI) is transforming the landscape of artificial intelligence, opening up new opportunities for creativity, problem-solving, and automation. Despite its potential, several challenges arise for developers and businesses when implementing Gen AI solutions. One of the most prominent issues is the lack of interoperability between different large language models (LLMs) from multiple providers.
The combination of artificial intelligence and policymaking can occasionally have unforeseen repercussions, as seen recently in Alaska. In an unusual turn of events, Alaska legislators reportedly used AI-generated citations that were inaccurate to justify a proposed policy banning cellphones in schools. As reported by /The Alaska Beacon/, Alaska’s Department of Education and Early Development (DEED) presented a policy draft containing references to academic studies that simply did not exist.
Introducing Hunyuan3D-1.0, a game-changer in the world of 3D asset creation. Imagine generating high-quality 3D models in under 10 seconds—no more long waits or cumbersome processes. This innovative tool combines cutting-edge AI and a two-stage framework to create realistic, multi-view images before transforming them into precise, high-fidelity 3D assets.
AI burst onto the scene in record speed and hasn’t slowed down since. Initially an experimental leap toward internal efficiency, AI quickly transformed into a core pillar of product strategies across nearly every industry. The mounting pressure on businesses to adopt and integrate AI has never been greater—in fact, more than 90% of organizations already have.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
In recent years, artificial intelligence (AI) has emerged as a key tool in scientific discovery, opening up new avenues for research and accelerating the pace of innovation. Among the various AI technologies, Graph AI and Generative AI are particularly useful for their potential to transform how scientists approach complex problems. Individually, each of these technologies has already made significant contributions across diverse fields such as drug discovery, material science, and genomics.
Schrödinger CEO Ramy Farid wants you to know that his company isn’t an AI company…but he’ll call it that if you want to. The company, founded in 1990, started out by making software that used the basic laws of physics to laboriously and exactly predict how molecules will interact with each other in space. Those calculations, rooted in the field of computational physics, needed lots of expensive and time-consuming computing power to run, and many people abandoned those t
The next technology revolution is here, and Japan is poised to be a major part of it. At NVIDIA’s AI Summit Japan on Wednesday, NVIDIA founder and CEO Jensen Huang and SoftBank Chairman and CEO Masayoshi Son shared a sweeping vision for Japan’s role in the AI revolution. Speaking in Tokyo, Huang underscored that AI infrastructure is essential to drive global transformation.
The Tony Blair Institute (TBI) has examined AI’s impact on the workforce. The report outlines AI’s potential to reshape work environments, boost productivity, and create opportunities—while warning of potential challenges ahead. “Technology has a long history of profoundly reshaping the world of work,” the report begins. From the agricultural revolution to the digital age, each wave of innovation has redefined labour markets.
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.
In the dynamic world of software development, where innovation is the cornerstone of success, developers constantly seek tools that can enhance their productivity and streamline their workflows. Enter Windsurf Editor by Codeium, a revolutionary platform that redefines the coding experience by integrating the power of artificial intelligence (AI). The tech world is witnessing an extraordinary […] The post Windsurf Editor: Revolutionizing Coding with AI-Powered Intelligence appeared first on
What if you received a raw transcript that looked like this? if you picture a sound meter with a needle that bounces up and down every time there's a sound the tone is supposed to put the needle perfectly at this one spot on the meter with a black numbers end and the red part of the meter begins there's like a zero at that spot marking this is where you want to be and the tone is just supposed to rest there rock solid but this particular day with this particular recording we put it on
In today’s world, as businesses face increasing pressure to adopt sustainable practices, the role of artificial intelligence in environmental monitoring has become paramount. Leveraging AI-powered tools for tracking greenhouse gas emissions, managing resources, and assessing environmental risks allows companies to make data-driven decisions that minimize their ecological footprint.
Jasper, one of the earlier players in generative AI marketing tech, has developed new ways to give marketers more control over AI-created content. Today, the Austin-based startup is adding several new features to give marketers more control and consistency when creating and scaling AI-generated content. One new feature, Brand IQ, uses API-based tooling to let marketers embed brand guidelines into an AI model for consistent text and visual outputs.
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.
My new book Natural Language Generation has just been published. It takes a similar approach to my blog in many ways (indeed blog readers will find content from my blogs in the book). Its a book about NLG in the broad sense, including requirements, evaluation, and use cases, as well as technology; its not a book about how machine learning can be used for NLG (although this is of course discussed).
AI continues to transform industries, and having the right skills can make a significant difference to your career. Professionals wishing to get into this evolving field can take advantage of a variety of specialised courses that teach how to use AI in business, creativity, and data analysis. Artificial Intelligence: Preparing Your Career for AI Artificial Intelligence: Preparing Your Career for AI is an option for those wanting to future-proof their careers in an AI-centric workplace.
In the age of information overload, it’s easy to get lost in the large amount of content available online. YouTube offers billions of videos, and the internet is filled with articles, blogs, and academic papers. With such a large volume of data, it’s often difficult to extract useful insights without spending hours reading and watching. […] The post Build Your Own YT and Web Summarizer with LangChain appeared first on Analytics Vidhya.
Providing subtitles is an excellent way for creators to make their videos accessible to a broader audience, such as non-native speakers and those who are hard of hearing. Unfortunately, creating subtitles yourself is both tedious and time-consuming. In this tutorial, you'll learn how to use AssemblyAI to transcribe videos and automatically generate accurate and high-quality subtitles.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
As AI advances, AI-generated images and text are becoming increasingly indistinguishable from human-created content. Whether in the form of realistic deepfake videos, art or sophisticated chatbots, these creations often leave people wondering if they can tell the difference between what is real and what is AI-made. Explore how accurately people can detect AI-generated content and compare that accuracy to their perceptions of their abilities.
Leaders and companies everywhere recognize the transformative potential that AI holds for their business — but very few of them have a systematic plan for how to experiment with and adopt AI at scale. In this article, John Winsor offers one, based on the successful work that he and Jin Paik have done in recent years helping companies experiment with and adopt digital-talent platforms at scale.
NVIDIA today at SC24 announced two new NVIDIA NIM microservices that can accelerate climate change modeling simulation results by 500x in NVIDIA Earth-2. Earth-2 is a digital twin platform for simulating and visualizing weather and climate conditions. The new NIM microservices offer climate technology application providers advanced generative AI-driven capabilities to assist in forecasting extreme weather events.
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