Wed.May 29, 2024

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What Future Awaits with Multimodal AI?

Analytics Vidhya

Introduction AI is growing quickly, and multimodal AI is among its best achievements. Unlike traditional AI systems that can only process a single type of data at a time, e.g., text, images, or audio, multimodal AI can simultaneously process multiple input forms. This allows the AI system to understand the input data more comprehensively, leading […] The post What Future Awaits with Multimodal AI?

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Elon Musk’s xAI secures $6B to challenge OpenAI in AI race

AI News

Elon Musk founded xAI last summer, and The Verge just reported that it’s already making waves by announcing a massive $6 billion funding round. According to the company, this money will help bring xAI’s first products to market, build advanced infrastructure, and accelerate research and development efforts into future technologies. Musk has some history in the AI space.

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Finetune and Deploy Custom PaLiGemma Model for your Image Tasks

Analytics Vidhya

Introduction PaLiGemma is an open-source state-of-the-art model released alongside other products at Google I/O 2024 and combines two other models developed by Google. Based on open components like the SigLIP vision model and the Gemma language model, PaliGemma is a flexible and lightweight vision-language model (VLM) that draws inspiration from PaLI-3.

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Ben Ball, IBM: Revolutionising technology operations with IBM Concert

AI News

In an interview ahead of the Intelligent Automation Conference , Ben Ball, Senior Director of Product Marketing at IBM , shed light on the tech giant’s latest AI endeavours and its groundbreaking new Concert product. IBM’s current focal point in AI research and development lies in applying it to technology operations. As Ball explained, “As people try to build applications out in the world, it’s an increasingly complex situation.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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How to Summarize Text with Transformer-based Models?

Analytics Vidhya

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information. This subject has been transformed by Transformers, which are sophisticated deep learning models that provide unmatched performance in extractive and abstractive summarization techniques.

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Difference Between ANN, CNN and RNN

Analytics Vidhya

Introduction Neural networks are systems designed to mimic the human brain. They consist of interconnected neurons or nodes. These nodes work together to interpret data and find patterns. Many artificial intelligence applications rely on neural networks. It’s important to know about the different types of neural networks because each one has unique strengths and weaknesses. […] The post Difference Between ANN, CNN and RNN appeared first on Analytics Vidhya.

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Empower developers to focus on innovation with IBM watsonx

IBM Journey to AI blog

In the realm of software development, efficiency and innovation are of paramount importance. As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI.

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Node.js Speech-to-Text with Punctuation, Casing, and Formatting

AssemblyAI

Automatically-generated transcripts from audio and video files are a lot more useful and readable when punctuation, casing, and formatting are added to the transcription result. Take this short segment for example. The text on top has no punctuation, casing, or formatting, and doesn't filter out disfluencies. Meanwhile, the text at the bottom does have punctuation, casing, formatting, and no disfluencies.

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How AI Allows Us to Play Ancient Board Games

Unite.AI

Imagine delving into the mysteries of ancient civilizations through their board games, such as Senet and Patolli. They offer a glimpse into the past, but their rules have been lost, leaving people wondering how they were played. Artificial intelligence shines in this scenario, and it's the key to unlocking these ancient secrets. AI revolutionizes how people understand these old games, using complex algorithms to hypothesize rules from fragments of historical texts and artifacts.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

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 risks before they become problems.

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Genie 2: Transforming Protein Design with Advanced Multi-Motif Scaffolding and Enhanced Structural Diversity

Marktechpost

Protein design is a rapidly advancing field leveraging computational models to create proteins with novel structures and functions. This technology has significant applications in therapeutics and industrial processes, revolutionizing how proteins are engineered for specific tasks. Researchers in this field aim to develop methods that accurately predict and generate protein structures that perform desired functions efficiently.

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Intel Is Manufacturing an Arm-based Mobile CPU for Nvidia: Rumor

Extreme Tech

It will also reportedly feature integrated graphics based on its Blackwell architecture.

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Beyond High-Level Features: Dense Connector Boosts Multimodal Large Language Models MLLMs with Multi-Layer Visual Integration

Marktechpost

Multimodal Large Language Models (MLLMs) represent an advanced field in artificial intelligence where models integrate visual and textual information to understand and generate responses. These models have evolved from large language models (LLMs) that excelled in text comprehension and generation to now also processing and understanding visual data, enhancing their overall capabilities significantly.

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Fine-tune large multimodal models using Amazon SageMaker

AWS Machine Learning Blog

Large multimodal models (LMMs) integrate multiple data types into a single model. By combining text data with images and other modalities during training, multimodal models such as Claude3, GPT-4V, and Gemini Pro Vision gain more comprehensive understanding and improved ability to process diverse data types. The multimodal approach allows models to handle a wider range of real-world tasks that involve both text and non-text inputs.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Google AI Introduce AGREE: A Machine Learning Framework that Enables LLMs to Self-Ground the Claims in their Responses and to Provide Precise Citations

Marktechpost

Maintaining the accuracy of Large Language Models (LLMs), such as GPT, is crucial, particularly in cases requiring factual accuracy, like news reporting or educational content creation. Despite their impressive capabilities, LLMs are prone to generating plausible but nonfactual information, known as “hallucinations,” usually when faced with open-ended queries that require broad world knowledge.

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ASML's High-NA Lithography Machine Sets New Density Record

Extreme Tech

The company also wants to double the production speed of existing EUV machines.

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Newton Informed Neural Operator: A Novel Machine Learning Approach for Computing Multiple Solutions of Nonlinear Partials Differential Equations

Marktechpost

Neural networks have been widely used to solve partial differential equations (PDEs) in different fields, such as biology, physics, and materials science. Although current research focuses on PDEs with a singular solution, nonlinear PDEs with multiple solutions create a major problem. Different neural network methods including PINN, the Deep Ritz method, and DeepONet, are developed to handle PDEs but they can learn only one solution for a learning process.

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Over 90 Malicious Google Play Apps Are Actively Spreading Malware

Extreme Tech

Researchers at a cloud security firm say the apps have been downloaded more than 5.5 million times.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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vLex + iManage Form Partnership to Support Integrations

Artificial Lawyer

iManage and fast-expanding legal research company vLex, which merged with Fastcase last year, have formed a partnership to support a number of close integrations that.

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Google’s Advanced AI Models: Gemini, PaLM, and Bard

Marktechpost

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology. Gemini: Google’s Multimodal Marvel Gemini represents the pinnacle of Google’s AI research, developed by Google DeepMind.

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Nvidia May Downsize RTX 5090 Founders Edition Graphics Card to Dual-Slot, Dual-Fan

Extreme Tech

A return to normalcy in the GPU world?

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Legal Innovators California – Our Law Firm + ALSP Speakers, June 4 + 5

Artificial Lawyer

Wilson Sonsini, Latham & Watkins, Orrick, Gravity Stack, ClearyX, DWF, the Flatiron Law Group, Mayer Brown, and Gunderson Dettmer are just some of the pioneering.

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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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What are AI Agents? How do you make one? Understand the Basics

Marktechpost

What are AI Agents? Artificial intelligence (AI) agents are intelligent beings with the capacity to sense their surroundings, analyze information, and act independently to accomplish predetermined objectives. These agents use AI approaches to perform their functions and can be either software-based or physical beings. An AI agent is essentially a system that can interact with its environment, collect data, make judgments based on that data, and take action to change its environment or complete t

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Enhance Service Delivery + Surface Support Staff Value by Harnessing Data

Artificial Lawyer

By Ben Jennings, Global Director, Workflow Management at BigHand. Over the last four years, BigHand has carried out annual surveys to gain insights into trends.

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Mistral AI Releases Codestral: An Open-Weight Generative AI Model for Code Generation Tasks and Trained on 80+ Programming Languages, Including Python

Marktechpost

The Mistral AI Team has announced the release of its groundbreaking code generation model, Codestral-22B. This contributes toward a new direction and benchmark of AI for software development. Codestral empowers developers by enhancing their coding capabilities and streamlining the development process. Codestral is an open-weight generative AI model explicitly crafted for code generation tasks.

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Active Volcanoes on Venus Identified in 30-Year-Old Magellan Data

Extreme Tech

This is the second detection of active geology on the surface of Venus.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Legal Innovators California is Next Week – Final 24-Hour Flash Sale!

Artificial Lawyer

We are one week away from the Legal Innovators California conference on June 4 and 5. Don’t miss out on our final 24-hour flash sale for tickets to the pioneering two-day event!

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Zotac Teases Yet Another Gaming Handheld

Extreme Tech

The Steam Deck really started something.

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AI-Powered Genomic Analysis: Transforming Precision Medicine through Advanced Data Interpretation

Marktechpost

The rapid advancements in sequencing technologies have unlocked unprecedented potential in genomic research and precision medicine. However, the challenge of accurately identifying genetic variants from billions of short, error-prone sequence reads remains significant. A promising solution to this challenge has emerged in DeepVariant, a deep CNN designed to call genetic variants by learning statistical relationships between images of read pileups and true genotype calls.