Mon.Aug 26, 2024

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How to Prepare for an AI Job Interview?

Analytics Vidhya

Introduction It could be challenging to prepare for an AI job interview due to the vast nature of the field and the wide variety of knowledge and abilities needed. The expansion of the AI industry corresponds with a growing requirement for qualified workers. Preparing for an AI job interview requires having a thorough understanding of […] The post How to Prepare for an AI Job Interview?

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AI voice assistants evolve, promising deeper interactions

IBM Journey to AI blog

The landscape of generative AI is shifting, with tech giants betting on advanced voice assistants as the next frontier. Google’s recent launch of Gemini Live for Android users marks a significant milestone in this AI arms race, closely following OpenAI’s development of ChatGPT’s Advanced Voice Mode. These next-generation voice assistants represent a leap forward from their predecessors like Apple’s Siri and Amazon’s Alexa. “Google’s Gemini Live focuses o

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Automatic language detection improvements: increased accuracy & expanded language support

AssemblyAI

At AssemblyAI, we're focused on providing the complete speech-to-text API that helps companies build powerful products from voice data. This not only means industry-leading automatic speech recognition (ASR) accuracy , but also means capabilities like speaker diarization , speech understanding via LLMs , and automatic language detection, that are necessary to truly get meaning from voice data.

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Cloud investments soar as AI advances

IBM Journey to AI blog

These days, cloud news often gets overshadowed by anything and everything related to AI. The truth is they go hand-in-hand since many enterprises use cloud computing to deliver AI and generative AI at scale. “Hybrid cloud and AI are two sides of the same coin because it’s all about the data,” said Ric Lewis, IBM’s SVP of Infrastructure, at Think 2024.

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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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David Woollard, CTO at Standard AI – Interview Series

Unite.AI

David Woollard is the Chief Technology Officer (CTO) at Standard AI. He is a tech industry veteran with over 20 years of experience, having worked at companies like Samsung and NASA, and as an entrepreneur at both early and late-stage startups. He holds a PhD in Computer Science, specializing in software architectures for high-performance computing.

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When ‘Chatbot’ Is a Dirty Word: 3 Misconceptions Business Leaders Have About Conversational AI

Unite.AI

The proliferation of LLMs like OpenAI’s ChatGPT, Meta’s Llama, and Anthropic’s Claude have led to a chatbot for every occasion. There are chatbots for career advice , chatbots that allow you to speak to your future self , and even a chicken chatbot that gives cooking advice. But these are not the chatbots of ten years ago – back then, they were limited to narrowly preset, rigid “conversations,” often based on a large flow chart with multiple choice or equivalent responses.

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Tau’s Logical AI-Language Update – A Glimpse into the Future of AI Reasoning

Marktechpost

Tau is a logical AI engine that enables the creation of software and AI capable of fully mechanized reasoning, allowing software built with Tau to logically reason over formalized information, deduce new knowledge, and automatically implement it within the software, allowing AI to accurately act autonomously and evolve based on generic commands, greatly advancing software development and AI safety.

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NVIDIA Launches Array of New CUDA Libraries to Expand Accelerated Computing and Deliver Order-of-Magnitude Speedup to Science and Industrial Applications

NVIDIA

News summary: New libraries in accelerated computing deliver order-of-magnitude speedups and reduce energy consumption and costs in data processing, generative AI, recommender systems, AI data curation, data processing, 6G research, AI-physics and more. They include: LLM applications: NeMo Curator, to create custom datasets, adds image curation and Nemotron-4 340B for high-quality synthetic data generation Data processing: cuVS for vector search to build indexes in minutes instead of days and a

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Top Artificial Intelligence (AI) Hallucination Detection Tools

Marktechpost

Large Language Models (LLMs) have gained significant attention in recent times, but with them comes the problem of hallucinations, in which the models generate information that is fictitious, deceptive, or plain wrong. This is especially problematic in vital industries like healthcare, banking, and law, where inaccurate information can have grave repercussions.

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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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How SAS HBCU+ Fellows are inspiring future analytics professionals

SAS Software

Since its inception in 2023, the SAS HBCU Program has been dedicated to supporting faculty at historically Black colleges and universities (HBCUs) and predominantly Black institutions (PBIs). This initiative was created for educators who are passionate about learning and teaching analytics. The program brings together faculty members at different stages [.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning Blog

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. We envision a future where AI seamlessly integrates into our teams’ workflows, automating repetitive tasks, providing intelligent recommendations, and freeing up time for more strategic, high-value interactions. Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales oper

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NVIDIA Launches NIM Microservices for Generative AI in Japan, Taiwan

NVIDIA

Nations around the world are pursuing sovereign AI to produce artificial intelligence using their own computing infrastructure, data, workforce and business networks to ensure AI systems align with local values, laws and interests. In support of these efforts, NVIDIA today announced the availability of four new NVIDIA NIM microservices that enable developers to more easily build and deploy high-performing generative AI applications.

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Meta presents Transfusion: A Recipe for Training a Multi-Modal Model Over Discrete and Continuous Data

Marktechpost

The rapid advancement of AI has led to the development of powerful models for discrete and continuous data modalities, such as text and images, respectively. However, integrating these distinct modalities into a single model remains a significant challenge. Traditional approaches often require separate architectures or compromise on data fidelity by quantizing continuous data into discrete tokens, leading to inefficiencies and performance limitations.

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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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10 Must-Know Python Libraries for Machine Learning in 2024

Machine Learning Mastery

As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development. In this post, we’ll explore the top 10 Python libraries dominating the ML scene in 2024, how the field has changed since 2020, and the key […] The post 10 Must-Know Python Libraries for Machine Learning in 2024 appeared first on MachineLearningMastery.com.

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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning Blog

In today’s world, effective communication is essential for fostering inclusivity and breaking down barriers. However, for individuals who rely on visual communication methods like American Sign Language (ASL), traditional communication tools often fall short. That’s where GenASL comes in. GenASL is a generative artificial intelligence (AI) -powered solution that translates speech or text into expressive ASL avatar animations, bridging the gap between spoken and written language and sign language

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Solar Coating Could Generate Power for Smartphones, EVs

Extreme Tech

On-the-spot energy harvesting could reduce the world's reliance on massive solar farms, according to scientists at the University of Oxford.

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StructuredRAG Released by Weaviate: A Comprehensive Benchmark to Evaluate Large Language Models’ Ability to Generate Reliable JSON Outputs for Complex AI Systems

Marktechpost

Large Language Models (LLMs) have become increasingly vital in artificial intelligence, particularly in tasks requiring no prior specific training data, known as Zero-Shot Learning. These models are evaluated on their ability to perform novel tasks and how well they generate outputs in a structured format, such as JSON. Structured outputs are critical for developing Compound AI Systems involving multiple LLM inferences or interactions with external tools.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Announcing Hybrid Search General Availability in Mosaic AI Vector Search

databricks

We're excited to announce the general availability of hybrid search in Mosaic AI Vector Search. Hybrid search is a powerful feature that combines.

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Benchmarking Large Language Models in Biomedical Classification and Named Entity Recognition: Evaluating the Impact of Prompting Techniques and Domain Knowledge

Marktechpost

LLMs are increasingly used in healthcare for tasks like question answering and document summarization, performing on par with domain experts. However, their effectiveness in traditional biomedical tasks, such as structured information extraction, remains to be seen. While LLMs have successfully generated free-text outputs, current approaches mainly focus on enhancing the models’ internal knowledge through methods like fine-tuning and in-context learning.

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How to perform change data capture (CDC) from full database snapshots using Delta Live Tables

databricks

Learn more about processing snapshots using Delta Live Tables and how you can use the new Apply changes from Snapshshot statement in DLT to build SCD Type 1 or SCD Type 2 target tables delivering incremental data and insights that would typically take months of effort on legacy platforms.

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uMedSum: A Novel AI Framework for Accurate and Informative Medical Summarization

Marktechpost

Medical abstractive summarization faces challenges in balancing faithfulness and informativeness, often compromising one for the other. While recent techniques like in-context learning (ICL) and fine-tuning have enhanced summarization, they frequently overlook key aspects such as model reasoning and self-improvement. The lack of a unified benchmark complicates systematic evaluation due to inconsistent metrics and datasets.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

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!

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Man Receives World's First Lung Cancer Vaccine

Extreme Tech

This 67-year-old cancer patient is the first human to receive BioNTech's experimental mRNA immunotherapy.

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The Challenges of Implementing GPT-4: Common Pitfalls and How to Avoid Them

Marktechpost

The rapid advancement of artificial intelligence has seen the emergence of sophisticated language models like OpenAI’s GPT-4. As organizations look to leverage this powerful technology, they face several challenges in its implementation. While GPT-4 offers unprecedented capabilities in natural language understanding and generation, it presents a unique set of pitfalls that can hinder successful deployment.

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Microsoft Seemingly Backtracks on Removal of Control Panel from Windows

Extreme Tech

The company is leaving the question of the Control Panel's removal largely unanswered for now.

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Pyramid Attention Broadcast: The Breakthrough Making Real-Time AI Videos Possible

Marktechpost

The field of video generation has seen remarkable progress with the advent of diffusion transformer (DiT) models, which have demonstrated superior quality compared to traditional convolutional neural network approaches. However, this improved quality comes at a significant cost in terms of computational resources and inference time, limiting the practical applications of these models.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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GenAI Is Helping Office & Dragons to Democratise Automation

Artificial Lawyer

Office & Dragons is a legal tech startup focused on eliminating repetitive legal tasks, such as bulk edits to tens, and even thousands, of documents.

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AutoToS: An Automated Feedback System for Generating Sound and Complete Search Components in AI Planning

Marktechpost

Artificial intelligence (AI) planning involves creating a sequence of actions to achieve a specific goal in the development of autonomous systems that perform complex tasks, such as robotics and logistics. Furthermore, large language models (LLMs) have shown great promise in several areas focused on natural language processing and code generation. Nevertheless, if one has to generate a complete plan, applying LLMs for AI planning raises some challenges—one case arises when one has to create not

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How to perform change data capture (CDC) from full table snapshots using Delta Live Tables

databricks

Learn more about processing snapshots using Delta Live Tables and how you can use the new Apply changes from Snapshshot statement in DLT to build SCD Type 1 or SCD Type 2 target tables delivering incremental data and insights that would typically take months of effort on legacy platforms.

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