Sat.Dec 09, 2023 - Fri.Dec 15, 2023

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AI in the Music Industry: How Will It Shape the Music Metaverse and Sounds of the Future?

Unite.AI

AI has already revolutionized the music industry. AI-generation tools allow creators to generate royalty-free music , and generative AI streaming products offer never-ending mood-based playlists for users to enjoy. AI-generated songs using “soundalikes” and well-known songs of popular artists being sung in the AI voice of another have been a hot topic in the news for two reasons.

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Building an LLM Model using Google Gemini API

Analytics Vidhya

Introduction Since the release of ChatGPT and the GPT models from OpenAI and their partnership with Microsoft, everyone has given up on Google, which brought the Transformer Model to the AI space. More than a year after the GPT models were released, there were no big moves from Google, apart from the PaLM API, which […] The post Building an LLM Model using Google Gemini API appeared first on Analytics Vidhya.

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The advantages and disadvantages of hybrid cloud

IBM Journey to AI blog

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. Enterprise-level businesses rely on hybrid cloud solutions to run critical workloads from anywhere by combining and unifying on-premises, private cloud and public cloud environments.

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Google’s new AI tool ‘MusicFX’ composes music with just a few words

Flipboard

Google has done it again. The search giant announced the launch of MusicFX today, a groundbreaking new experimental tool that enables users to generate their own music using AI.

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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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3 Ways Generative AI Is Revolutionizing Workforce Management

Unite.AI

Generative AI has made headlines for the way it’s disrupting the corporate world, but businesses that employ deskless workers can also reap the technology’s benefits as part of their workforce management (WFM) processes. According to a recent McKinsey & Company report, generative AI has the potential to automate tedious workplace tasks that absorb up to 70% of employees’ time, freeing up their availability for more meaningful and fulfilling functions of their jobs.

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The three main types of cryptography

IBM Journey to AI blog

Derived from the Greek words for “hidden writing,” cryptography is the science of obscuring transmitted information so that it may only be read by the intended recipient. The applications of cryptography are endless. From the quotidian end-to-end message authentication on WhatsApp to the practical digital signatures on legal forms or even the CPU-draining ciphers used for mining cryptocurrency , cryptography has become an essential aspect of our digital world and a critical cybersecu

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When it comes to generative AI in the enterprise, CIOs are taking it slow

Flipboard

To hear the hype from vendors, you would think that enterprise buyers are all in when it comes to generative AI. But like any newer technology, large companies tend to move cautiously. Throughout this year, as vendors feverishly announced new generative AI-fueled products, CIOs took note. Some companies have actually been looking to cut back […] © 2023 TechCrunch.

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Google’s Multimodal AI Gemini – A Technical Deep Dive

Unite.AI

Sundar Pichai, Google's CEO, along with Demis Hassabis from Google DeepMind, have introduced Gemini in December 2023. This new large language model is integrated across Google's vast array of products, offering improvements that ripple through services and tools used by millions. Gemini, Google's advanced multimodal AI, is birthed from the collaborative efforts of the unified DeepMind and Brain AI labs.

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Deci AI Introduces DeciLM-7B: A Super Fast and Super Accurate 7 Billion-Parameter Large Language Model (LLM)

Marktechpost

In the ever-evolving field of technological advancements, language models have become indispensable. These systems, powered by advanced artificial intelligence, enhance our interaction with digital platforms. LLMs are designed to understand and generate human-like text, bridging the gap between human communication and machine understanding. The advancement of technology has ushered in a digital age where language models play an increasingly important role in information processing, communication

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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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Delivering security and scalability in today’s business landscape requires more than setting up a front line of defense

IBM Journey to AI blog

A cybersecurity strategy is not solely about managing risk across a business’ IT infrastructure. The stakes are especially high for organizations in highly regulated industries because they can be exploited through their digital supply chain, giving hackers access to consumers’ valuable and sensitive data. Consequently, these data breaches can rattle customer trust and the confidence of regulators.  When done correctly, cybersecurity can be a strategic initiative that supports

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‘Potentially disastrous’ for innovation: Tech sector says EU AI Act goes too far

Flipboard

The EU AI Act still isn’t set in stone and the European elections could shake things up. But for the moment, the tech industry fears the Act may stifle competition. Meanwhile, artists and authors have proved more welcoming.

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Cybersecurity AI Trends to Watch in 2024

Unite.AI

AI transforms cybersecurity by boosting defense and offense. It excels in spotting threats, adapting defenses and ensuring robust data backups. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024. Importance of Staying Updated on Trends Staying updated on AI trends is crucial because it keeps you informed about the latest advancements, ensuring you re

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Google DeepMind Introduces AlphaCode 2: An Artificial Intelligence (AI) System that Uses the Power of the Gemini Model for a Remarkable Advance in Competitive Programming Excellence

Marktechpost

The field of Machine learning has seen some incredible advancements in producing and comprehending textual data. However, new innovations in problem-solving are restricted to relatively straightforward arithmetic and programming problems. Competitive programming, which is a tough evaluation of coding skills that requires competitors to write code solutions for complex issues in a limited amount of time, requires a great amount of critical thinking, logical reasoning, and a thorough comprehension

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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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How NVIDIA Fuels the AI Revolution With Investments in Game Changers and Market Makers

NVIDIA

Great companies thrive on stories. Sid Siddeek, who runs NVIDIA’s venture capital arm, knows this well. Siddeek still remembers one of his first jobs, schlepping presentation materials from one investor meeting to another, helping the startup’s CEO and management team get the story out while working from a trailer that “shook when the door opened,” he said.

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Cheating Fears Over Chatbots Were Overblown, New Research Suggests

Flipboard

A.I. tools like ChatGPT did not boost the frequency of cheating in high schools, Stanford researchers say. Last December, as high school and college students began trying out a new A.I.

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Prodigy-Segment for Pixel Segmentation

Explosion

We've recently introduced Prodigy Plugins which extend the features of Prodigy by adding direct support for 3rd party integrations. One of these plugins is P.

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This AI Paper Introduces EdgeSAM: Advancing Machine Learning for High-Speed, Efficient Image Segmentation on Edge Devices

Marktechpost

The Segment Anything Model (SAM) is an AI-powered model that segments images for object detection and recognition. It is an effective solution for various computer vision tasks. However, SAM is not optimized for edge devices, which can lead to retarded performance and high resource consumption. Researchers from S-Lab Nanyang Technological University and Shanghai Artificial Intelligence Laboratory developed EdgeSAM to address this issue.

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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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Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2

AWS Machine Learning Blog

In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2. We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance. We then use a large model inference container powered by Deep Java Library (DJLServing) as our model serving solution.

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We asked GPT-4 and Chinese rival ERNIE the same questions. Here’s how they answered

Flipboard

Hong Kong CNN — ERNIE Bot 4.0, run by Chinese tech giant Baidu, is touted to be in the same league as industry darling chatbot GPT-4. Unveiled in October and launched to paying subscribers in November, ERNIE 4.

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Weak-to-strong generalization

OpenAI

We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?

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Meet NexusRaven-V2: A 13B LLM Outperforming GPT-4 in Zero-Shot Function Calling and has the Capability to Turn Natural Language Instructions into Executable Code

Marktechpost

LLMs can be fine-tuned on code-related datasets to generate code snippets, including function calls. These models can suggest or generate code that involves function calls based on the input provided by providing context or prompts. Language models can be used for natural language understanding of code-related queries or instructions. Developers can input questions or descriptions, and the model can interpret these to provide relevant function calls or code segments as answers.

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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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Inventive ways people are using AI

Microsoft AI

People are reshaping their daily lives with AI, using it to get creative, spend more time with loved ones, make better decisions and ditch mundane tasks.

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Google unveils MedLM, a family of healthcare-focused generative AI models

Flipboard

Google thinks that there’s an opportunity to offload more healthcare tasks to generative AI models — or at least, an opportunity to recruit those models to aid healthcare workers in completing their tasks. Today, the company announced MedLM, a family of models fine-tuned for the medical industries.

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Vodafone advances its machine learning skills with AWS DeepRacer and Accenture

AWS Machine Learning Blog

Vodafone is transitioning from a telecommunications company (telco) to a technology company (TechCo) by 2025, with objectives of innovating faster, reducing costs, improving security, and simplifying operations. Thousands of engineers are being onboarded to contribute to this transition. By 2025, Vodafone plans to have 50% of its global workforce actively involved in software development, with an objective to deliver 60% of digital services in-house.

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Microsoft AI Releases LLMLingua: A Unique Quick Compression Technique that Compresses Prompts for Accelerated Inference of Large Language Models (LLMs)

Marktechpost

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. These models have shown to be remarkably capable and have showcased the capabilities of Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, etc. However, newer developments, including in-context learning (ICL) and chain-of-thought (CoT) prompting, have resulted in the deployment of longer prompts, sometim

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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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Intel Officially Launches Meteor Lake 'Core Ultra' CPUs

Extreme Tech

As the company's first tile-based CPU based on its new Intel 4 process, this is an entirely different CPU from everything that has come before it.

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Mind-reading AI can translate brainwaves into written text

Flipboard

A system that records the brain's electrical activity through the scalp can turn thoughts into words with help from a large language model – but the results are far from perfect

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Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions

AWS Machine Learning Blog

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle.

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