AI News
JULY 12, 2024
SoftBank has announced its acquisition of Graphcore , a leading British AI chipmaker. The deal will see Graphcore becoming a wholly-owned subsidiary of SoftBank. This acquisition, reportedly valued at about $600 million, is not SoftBank’s first foray into the UK tech scene. In 2016, SoftBank controversially acquired British chip designer Arm in a much larger deal.
Analytics Vidhya
JULY 12, 2024
Introduction The recent decade has witnessed a massive surge in the application of Machine learning techniques. There is a continuous rise of application of machine learning techniques in nearly all domains, including research, education, environment, social science, businesses, service providers, production, manufacturing, supply chain, healthcare, biochemistry, biotechnology, and many more.
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Unite.AI
JULY 12, 2024
The way we approach education, particularly in mathematics, has changed a lot over the past few years. As students face increasingly complex math problems, AI-powered tools have emerged as invaluable resources for learning, problem-solving, and skill development. These innovative applications offer features ranging from instant problem recognition to step-by-step explanations, catering to learners at all levels.
Analytics Vidhya
JULY 12, 2024
Introduction Imagine you’re at a bookstore looking for the perfect book. You want recommendations that are not only on your favorite genre but also varied enough to introduce you to new authors. Retrieval-Augmented Generation systems work similarly by combining the strengths of finding relevant information and generating creative responses. To measure how well these systems […] The post Understanding Hit Rate, MRR, and MMR Metrics appeared first on Analytics Vidhya.
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
AI News
JULY 12, 2024
Samsung’s latest flagship smartphones and wearables have been made lighter and slimmer, while incorporating enhanced AI features to appeal to high-end consumers. Samsung, which pioneered the foldable smartphone segment in 2019, faces increasing competition in this niche market. Data from Canalys shows that Samsung’s share of foldable phone shipments dropped from 81% in 2022 to 63% in 2023, highlighting the importance of this latest launch.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
AI News
JULY 12, 2024
Samsung’s latest flagship smartphones and wearables have been made lighter and slimmer, while incorporating enhanced AI features to appeal to high-end consumers. Samsung, which pioneered the foldable smartphone segment in 2019, faces increasing competition in this niche market. Data from Canalys shows that Samsung’s share of foldable phone shipments dropped from 81% in 2022 to 63% in 2023, highlighting the importance of this latest launch.
Analytics Vidhya
JULY 12, 2024
Introduction LangChain has become a potent toolset for creating complex AI applications in the rapidly developing field of artificial intelligence. One of its most intriguing aspects is the agent architecture, which enables programmers to design intelligent systems that can reason, make decisions, and take independent action. As we look closer into this exciting realm, discover […] The post AI Agents: A Deep Dive into LangChain’s Agent Framework appeared first on Analytics Vidhya.
Unite.AI
JULY 12, 2024
Generative AI is making incredible strides, transforming areas like medicine, education, finance, art, sports, etc. This progress mainly comes from AI's improved ability to learn from larger datasets and build more complex models with billions of parameters. Although these advancements have driven significant scientific discoveries, created new business opportunities, and led to industrial growth, they come at a high cost, especially considering the financial and environmental impacts of trainin
Analytics Vidhya
JULY 12, 2024
Introduction Artificial intelligence (AI) is a rapidly developing field. As a result, language models have advanced to a point where AI agents are able to perform complex tasks and make complex decisions. However, as these agents’ skills have grown, the infrastructure that supports them has found it difficult to keep up. Presenting LangGraph, a revolutionary […] The post LangGraph: Revolutionizing AI Agent Development and Execution appeared first on Analytics Vidhya.
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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?
Unite.AI
JULY 12, 2024
Since some times, banks and other fintech companies have stood at the top across all companies in implementing the most modern technologies. And the use of AI isn’t an exception here. It promises enhanced security measures, efficient transaction processing, and personalized customer service. However, is it so perfect when it comes to reality? While AI can bolster cybersecurity defenses , it also poses certain risks, particularly due to its involvement with sensitive data.
Analytics Vidhya
JULY 12, 2024
Introduction Have you ever wondered what it takes to communicate effectively with today’s most advanced AI models? As Large Language Models (LLMs) like Claude, GPT-3, and GPT-4 become more sophisticated, how we interact with them has evolved into a precise science. No longer just an art, creating effective prompts has become essential to harnessing the […] The post What is Self-Consistency in Prompt Engineering?
AI News
JULY 12, 2024
SoftBank has announced its acquisition of Graphcore , a leading British AI chipmaker. The deal will see Graphcore becoming a wholly-owned subsidiary of SoftBank. This acquisition, reportedly valued at about $600 million, is not SoftBank’s first foray into the UK tech scene. In 2016, SoftBank controversially acquired British chip designer Arm in a much larger deal.
Unite.AI
JULY 12, 2024
When ChatGPT was introduced in late 2022, it triggered an unprecedented influx of AI tools and solutions into the market. Though AI solutions have existed for some time, their rapid transformation into widely accessible consumer products has significantly changed daily life. Initially, options were limited to models like OpenAI's ChatGPT, but now the market includes a variety of models such as GPT-4, GPT-4o, Anthropic’s Claude, Google’s Gemini, Meta’s LLaMA, and others like Falcon, Mistral, and
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
AssemblyAI
JULY 12, 2024
Translations are vital for communication and accessibility. Imagine a non-English-speaking tourist in an English-speaking country. If they can't translate the words of the locals, they might struggle to communicate. However, the tourist can't manually type the words into a translator since they don't speak English. With AssemblyAI's Streaming Speech-to-Text , the tourist can transcribe the speech in real time and use a translation service like DeepL to translate into their la
Unite.AI
JULY 12, 2024
There's no question businesses have a lot of data to manage. From customer interactions to operational metrics, every click, purchase, and decision leaves a trail of valuable information. Yet, extracting actionable insights can feel like searching for a needle in a haystack amidst this sea of data. I recently came across Echobase AI , a platform designed to simplify and supercharge how your business analyzes data.
Marktechpost
JULY 12, 2024
Text-to-image generation models have gained traction with advanced AI technologies, enabling the generation of detailed and contextually accurate images based on textual prompts. The rapid development in this field has led to numerous models, such as DALLE-3 and Stable Diffusion, designed to translate text into visually coherent images. A significant challenge in text-to-image generation is ensuring the generated images align accurately with the provided text.
IBM Journey to AI blog
JULY 12, 2024
IBM® Event Automation’s event endpoint management capability makes it easy to describe and document your Kafka topics (event sources) according to the open source AsyncAPI Specification. Why is this important? AsyncAPI already fuels clarity, standardization, interoperability, real-time responsiveness and beyond. Event endpoint management brings this to your ecosystem and helps you seamlessly manage the complexities of modern applications and systems.
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
JULY 12, 2024
FlashAttention-3 , the latest release in the FlashAttention series, has been designed to address the inherent bottlenecks of the attention layer in Transformer architectures. These bottlenecks are crucial for the performance of large language models (LLMs) and applications requiring long-context processing. The FlashAttention series, including its predecessors FlashAttention and FlashAttention-2, has revolutionized how attention mechanisms operate on GPUs by minimizing memory reads and writes.
Extreme Tech
JULY 12, 2024
A new study reports that they're nearly 5x brighter than SpaceX's regular satellites, and such a stark increase in brightness could have serious downstream effects for astronomers.
Marktechpost
JULY 12, 2024
Patronus AI has announced the release of Lynx. This cutting-edge hallucination detection model promises to outperform existing solutions such as GPT-4, Claude-3-Sonnet, and other models used as judges in closed and open-source settings. This groundbreaking model, which marks a significant advancement in artificial intelligence, was introduced with the support of key integration partners, including Nvidia, MongoDB, and Nomic.
Towards AI
JULY 12, 2024
Last Updated on July 13, 2024 by Editorial Team Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by David Clode on Unsplash Introduction A stochastic parrot is a metaphor often used to describe Artificial Intelligence, specifically language models. Parrots are known to mimic human language. Parrots learn to speak human language and then try to have conversations with humans, but do parrots understand what they speak?
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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
JULY 12, 2024
Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to learn probabilistic models for such data automatically. To leverage these models for complex tasks, users must seamlessly integrate operations accessing data records and probabilistic models.
Extreme Tech
JULY 12, 2024
Market research firm IDC doesn't think Apple's VR sales will increase until there's a cheaper model.
Marktechpost
JULY 12, 2024
Vision-language models have evolved significantly over the past few years, with two distinct generations emerging. The first generation, exemplified by CLIP and ALIGN, expanded on large-scale classification pretraining by utilizing web-scale data without requiring extensive human labeling. These models used caption embeddings obtained from language encoders to broaden the vocabulary for classification and retrieval tasks.
databricks
JULY 12, 2024
Hallucinations in large language models (LLMs) occur when models produce responses that do not align with factual reality or the provided context. This.
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
JULY 12, 2024
The field of English as a Foreign Language (EFL) focuses on equipping non-native speakers with the skills to communicate effectively in English. One critical aspect of this education is developing students’ oral presentation abilities. These skills are important for academic & professional success, enabling students to convey their ideas clearly & confidently.
Extreme Tech
JULY 12, 2024
An oxygen leak led to a 'rapid unscheduled disassembly' of the second-stage engine.
Marktechpost
JULY 12, 2024
One of the emerging challenges in artificial intelligence is whether next-token prediction can truly model human intelligence, particularly in planning and reasoning. Despite its extensive application in modern language models, this method might be inherently limited when it comes to tasks that require advanced foresight and decision-making capabilities.
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