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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.
Google Cloud has launched two generative AI models on its Vertex AI platform, Veo and Imagen 3, amid reports of surging revenue growth among enterprises leveraging the technology. According to Google Cloud’s data, 86% of enterprise companies currently using generative AI in production environments have witnessed increased revenue, with an estimated average growth of 6%.
Introduction Software development is on the brink of a transformative shift as artificial intelligence (AI) continues to push the boundaries of what was once deemed impossible. Enter Devin AI, an AI software engineer developed by the innovative minds at Cognition. This groundbreaking creation aims to revolutionize how we approach software development, streamlining the process and […] The post Could AI Replace Software Engineers?
The transition to online communication—from sales calls to internal meetings to educational coursework—has created significant opportunities for new AI-powered tools and platforms that help individuals fully use all this digital data. One predominant AI feature that has risen in popularity is AI-powered transcript summarizers. In addition to providing an immediate transcript of a virtual meeting or lecture (using AI speech-to-text ), AI transcript summarizers can summarize th
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Generative AI has redefined what we believe AI can do. What started as a tool for simple, repetitive tasks is now solving some of the most challenging problems we face. OpenAI has played a big part in this shift, leading the way with its ChatGPT system. Early versions of ChatGPT showed how AI could have human-like conversations. This ability provides a glimpse into what was possible with generative AI.
MIT researchers have developed a robot training method that reduces time and cost while improving adaptability to new tasks and environments. The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process.
MIT researchers have developed a robot training method that reduces time and cost while improving adaptability to new tasks and environments. The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process.
Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.
Today, AssemblyAI is launching Universal-1 , our most capable and highly trained speech recognition model. Trained on over 12.5 million hours of multilingual audio data, Universal-1 achieves best-in-class speech-to-text accuracy, reduces word error rate and hallucinations, improves timestamp estimation, and helps us continue to raise the bar as the industry-leading Speech AI provider.
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.
The Medicines and Healthcare products Regulatory Agency ( MHRA ) has announced the selection of five healthcare technologies for its ‘AI Airlock’ scheme. AI Airlock aims to refine the process of regulating AI-driven medical devices and help fast-track their safe introduction to the UK’s National Health Service (NHS) and patients in need. The technologies chosen for this scheme include solutions targeting cancer and chronic respiratory diseases, as well as advancements in radiology diagnostics.
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.
The 2023 Expert Survey on Progress in AI is out , this time with 2778 participants from six top AI venues (up from about 700 and two in the 2022 ESPAI ), making it probably the biggest ever survey of AI researchers. People answered in October, an eventful fourteen months after the 2022 survey, which had mostly identical questions for comparison. Here is the preprint.
Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.
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.
Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving. However, as technology advances, so do its complexities and ethical considerations.
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
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.
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 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.
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.
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.
Google CEO Sundar Pichai has announced the launch of Gemini 2.0, a model that represents the next step in Googles ambition to revolutionise AI. A year after introducing the Gemini 1.0 model, this major upgrade incorporates enhanced multimodal capabilities, agentic functionality, and innovative user tools designed to push boundaries in AI-driven technology.
In a world where artificial intelligence is becoming omnipresent, it’s fascinating to think about the prospect of AI-powered robots and digital avatars that can experience emotions, similar to humans. AI models lack consciousness and they don’t have the capacity to feel emotions, but what possibilities might arise if that were to change?
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.
In just a few years, the realm of AI has transcended its initial computational boundaries, emerging as one of the transformative forces of the 21st century, permeating virtually every major economic sector. The global AI market was valued at $638.23 billion during Q4 2024, and is projected to reach a valuation of $3.6 trillion by 2034, largely because AI has the potential to gain widespread adoption in multiple industries.
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.
Imagine this: you have built an AI app with an incredible idea, but it struggles to deliver because running large language models (LLMs) feels like trying to host a concert with a cassette player. The potential is there, but the performance? Lacking. This is where inference APIs for open LLMs come in. These services are like supercharged backstage passes for developers, letting you integrate cutting-edge AI models into your apps without worrying about server headaches, hardware setups, or perfor
Anthropic has just released Claude 3.5, a powerful new version of its LLM series. While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” This capability lets developers guide Claude to interact with the computer like a person—navigating screens, moving cursors, clicking, and typing.
The emerging US-China Artificial General Intelligence (AGI) rivalry could face a major policy transformation, as the US-China Economic and Security Review Commission (USCC) recommends a Manhattan Project-style initiative and restrictions on humanoid robots in its latest report to Congress. Released in November 2024, the Commission’s annual report outlined 32 recommendations that could fundamentally alter how the two countries interact, with artificial intelligence taking centre stage in a
The UK Government wants to prove that AI is being deployed responsibly within public services to speed up decision-making, reduce backlogs, and enhance support for citizens. New records, part of the Algorithmic Transparency Recording Standard (ATRS), were published this week to shed light on the AI tools being used and set a benchmark for transparency and accountability in the integration of technology in public service delivery.
The guide for revolutionizing the customer experience and operational efficiency Explore how AI Agents are transforming customer service and delivering innovative solutions for your business now with our latest eBook. 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.
OpenAI is awarding a $1 million grant to a Duke University research team to look at how AI could predict human moral judgments. The initiative highlights the growing focus on the intersection of technology and ethics, and raises critical questions: Can AI handle the complexities of morality, or should ethical decisions remain the domain of humans? Duke Universitys Moral Attitudes and Decisions Lab (MADLAB), led by ethics professor Walter Sinnott-Armstrong and co-investigator Jana Schaich Borg, i
For years, artificial intelligence (AI) has been a tool crafted and refined by human hands, from data preparation to fine-tuning models. While powerful at specific tasks, today’s AIs rely heavily on human guidance and cannot adapt beyond its initial programming. This dependence limits AI’s ability to be flexible and adaptable, the qualities that are central to human cognition and needed to develop artificial general intelligence (AGI).
Did you know that effective asset management practices pose challenges for almost half of small businesses? According to the latest research, 43% of businesses either manually report their inventory or in a few cases, do not record assets in any manner. However, asset management is not immune to the disruptive pressure of artificial intelligence (AI) currently revolutionising numerous industries.
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