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Microsoft Discloses AI Copilot Development Learnings

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Microsoft Discloses AI Copilot Development Learnings

An extensive investigation of the difficulties, prospects, and requirements related to developing AI-powered product copilots has been carried out by researchers at Microsoft and GitHub Inc. 26 experienced software engineers from different firms that were in charge of creating these cutting-edge solutions were interviewed for the study.

Nearly all computer companies are vying to include advanced AI capabilities into their software, but there are still a lot of issues to be resolved. The probability of failure scenarios can be increased by coordinating various data sources and prompts, and evaluating LLMs is challenging because of their inherent variability. In this quickly changing sector, developers also find it difficult to stay current with best practices; they frequently turn to academic publications or social media for advice. The management of safety, privacy, and compliance are crucial issues that need to be handled carefully to prevent harm or breaches.

“Creating a one-stop shop to incorporate AI into projects is still difficult. According to Austin Henley, “developers are looking for a place where they can jump right in, go from a playground to an MVP, connect all of their data sources to the prompts, and then integrate the AI components into their current codebase with efficiency.” “Quick feedback could be obtained with a prompt linter. A “toolbox” or library of prompt snippets for frequently performed activities was also requested by developers. Furthermore, it would be extremely beneficial to track the impact of timely adjustments,” Henley went on.

Prompt engineering, or the act of developing prompts that start an AI model’s inference process, was one of the major challenges found. “Because these large language models are often very, very fragile in terms of responses, there’s a lot of behavior control and steering that you do through prompting,” stated a participant (P7). Because of this unpredictable nature, it’s more art than science because developers must spend a lot of time on trial-and-error procedures.

Benchmark testing was brought up as another concern. Writing assertions with generative models, such as Large Language Models (LLMs), becomes challenging as each response could be different from the previous one; it’s as if each test case is a test with flaws. As one participant put it, “That’s why we run each test ten times” (P1), and another said, “If you don’t have the right tools, experimentation takes a lot of time” (P12).

Participants also voiced worries about challenges related to compliance, safety, and privacy when integrating AI into goods. As an example: “Do we want actual people to be impacted by this? P11 stated, “This operates in nuclear power plants,” underscoring the possible dangers of utilizing such technologies in the absence of appropriate safeguards. Lastly, stay current or even understand where to concentrate their efforts while picking up new tools or abilities. For us, this is all very new. As we proceed, we are learning. There isn’t a set way to accomplish things correctly! (P1)

The modifications coincide with the introduction of new CoPilot design elements and enhancements by Microsoft. For instance, all Copilot users who speak English in the United States, the United Kingdom, Australia, India, and New Zealand can now edit images while a discussion is in progress. A number of Microsoft Copilot Pro subscribers have reported performance difficulties, which prompted the revisions.

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Biosense Webster Unveils AI-Driven Heart Mapping Technology

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Today, Biosense Webster, a division of Johnson & Johnson MedTech, announced the release of the most recent iteration of its Carto 3 cardiac mapping system.

Heart mapping in three dimensions is available for cardiac ablation procedures with Carto 3 Version 8. It is integrated by Biosense Webster into technology such as the FDA-reviewed Varipulse pulsed field ablation (PFA) system.

Carto Elevate and CartoSound FAM are two new modules that Biosense Webster added to the software. These modules were created by the company to be accurate, efficient, and repeatable when used in catheter ablation procedures for arrhythmias such as AFib.

Biosense Webster’s CartoSound FAM encompasses the first application of artificial intelligence in intracardiac ultrasound. In addition to saving time, the algorithm, according to the company, provides a highly accurate map by automatically generating the left atrial anatomy prior to the catheter being inserted into the left atrium. Through the use of deep learning technology, the module produces 3D shells automatically.

Incorporating multipolar capabilities with the Optrell mapping catheter is one of the new features of the Carto Elevate module. By doing so, far-field potentials are greatly reduced and a more precise activation map for localized unipolar signals is produced. The identification of crucial areas of interest is done effectively and consistently with Elevate’s complex signals identification. An improved Confidense module generates optimal maps, and pattern acquisition automatically monitors arrhythmia burden prior to and following ablation.

Jasmina Brooks, president of Biosense Webster, stated, “We are happy to announce this new version of our Carto 3 system, which reflects our continued focus on harnessing the latest science and technology to advance tools for electrophysiologists to treat cardiac arrhythmias.” For over a decade, the Carto 3 system has served as the mainstay of catheter ablation procedures, assisting electrophysiologists in their decision-making regarding patient care. With the use of ultrasound technology, better substrate characterization, and improved signal analysis, this new version improves the mapping and ablation experience of Carto 3.

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Cloud AI Solution Launched by CGG Accelerated AI and HPC Tasks with NVIDIA’s Support

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Global leader in HPC and technology, CGG, has announced the release of its AI Cloud solution. This solution is intended to address the needs of data-intensive industries, such as digital media, manufacturing, geoscience, and life sciences, which aim to optimize and accelerate their resource-intensive and demanding AI workloads.

The state-of-the-art NVIDIA H100 Tensor Core GPUs, well-suited for AI inference and fine-tuning, are part of CGG’s new AI Cloud solution, which combines the most recent high-performance architecture with a software environment that can be customized for each client. Combine AI cloud with CGG’s results-driven Outcome-as-a-Service (OaaS) offering, and clients can concentrate on their production while CGG experts handle the of cloud computing and infrastructure. This improves decision-making and unlocks further business value.

For its customers, the AI Cloud solution maximizes energy-efficient, industrial-scale production by utilizing CGG’s seventy years of experience in pioneering scientific computing. CGG will continuously enhance its AI Cloud environment with optimized hardware and cutting-edge software in partnership with its partners to keep up with the incredibly rapid evolution of AI technology and guarantee that customer productivity and efficiency is never jeopardized.

“Demand for AI, data science, and HPC workloads is growing exponentially as forward-looking companies seek to harness the power of deep learning, large language models, and large-scale intelligent data processing to automate and revolutionize their complex business tasks to drive innovation and stay competitive,” stated Agnès Boudot, EVP, HPC & Cloud Solutions, CGG. As a result, CGG introduced its AI Cloud to give them the comprehensive AI solutions they require to effectively reduce these workloads and fulfill their sustainability obligations.

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Revolutionizing Music Creation: Logic Pro’s Latest AI Enhancements

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Presenting cutting-edge professional experiences for songwriting, beat-making, producing, and mixing, Apple today unveiled the all-new Logic Pro for iPad 2 and Logic Pro for Mac 11. With its amazing studio assistant features, which are powered by artificial intelligence, the new Logic Pro enhances the creative process and helps musicians when they need it, all while preserving their complete creative control.

These features include Session Players, which give Logic Pro’s well-liked Drummer capabilities a new dimension by adding a Bass Player and Keyboard Player; Stem Splitter, which allows you to separate and manipulate different portions of a single audio recording; and ChromaGlow, which instantly adds warmth to tracks. On Monday, May 13, Logic Pro for Mac 11 and Logic Pro for iPad 2 will be made available through the App Store.

According to Brent Chiu-Watson, senior director of Apps Worldwide Product Marketing at Apple, “Logic Pro gives creatives everything they need to write, produce, and mix a great song, and our latest features take that creativity to a whole new level.” “The greatest music creation experience in the industry is offered to creative pros by Logic Pro’s new AI-backed updates and the unmatched performance of iPad, Mac, and M-series Apple silicon.”

AI-Powered Customized Backing Band for Session Players

By giving artists access to a personalized, AI-powered backing band that reacts to their input, Session Players provide ground-breaking experiences.More than ten years ago, Drummer made his debut as one of the world’s first generative musicians, and it quickly took the music creation industry by storm. A new virtual keyboard and bass player, along with other significant improvements, make it even better today. While guaranteeing that musicians have complete control over every stage of the song-writing process, session players enhance the live performance experience.

Bass Player was trained using cutting-edge AI and sampling technologies in conjunction with some of the greatest bass players working today. Eight distinct bass players are available for users to select from, and they can use advanced parameters for slides, mutes, dead notes, and pickup hits in addition to controls for complexity and intensity to steer their performance. Users can choose from 100 Bass Player loops to get fresh ideas, or they can jam along with chord progressions. The virtual bass player will precisely follow along when users define and modify the chord progressions to a song using Chord Track. Users can also access six newly recorded instruments, ranging from electric to acoustic, with the Studio Bass plug-in. These instruments are inspired by the sounds of the most well-liked bass tones and genres of today.

Keyboard Player offers four distinct styles that are specifically tailored to complement a broad range of musical genres and were created in collaboration with professional studio musicians. With almost infinite variations, a keyboard player can play anything from basic block chords to chord voicing with extended harmony. Similar to the Bass Player, the Keyboard Player follows along as the Chord Track adds and modifies the song’s chord progression. Users can choose from a variety of additional sound-shaping options by using the Studio Piano plug-in. These options include adjusting three mic positions, pedal noise, key noise, release samples, and sympathetic resonance.

Stem Splitter: Retrieve Excellent Tapes

Without the pressure of an official studio session, most musicians give their best performances. These moments are frequently found on old demo cassette tapes, Voice Memos recordings, or live show footage. When these recordings are listened to again, they can be seen to have been lost to time—magical performances that are almost impossible to recreate. With Stem Splitter, an artist can now extract inspiration from any audio file and divide almost any mixed audio file into four separate sections, directly on the device: drums, bass, vocals, and other instruments.2. It’s simple to add new sections, alter the mix, or apply effects when these tracks are divided. Stem Splitter operates incredibly quickly thanks to AI and M-series Apple silicon.

ChromaGlow: Set the Ideal Hue

ChromaGlow uses AI and the capability of M-series Apple silicon to simulate the sounds made by a combination of the most renowned studio hardware available.3. With five distinct saturation styles, users can fine-tune the sound to add ultrarealistic warmth, punch, and presence to any track. In addition, they have the option of selecting from more extreme styles that can be tailored to their preferences, nostalgic vintage warmth, or contemporary, clean sounds.

iPad and Mac-Powered

Creatives have embraced Logic Pro for iPad quickly since its launch last year. Logic Pro, which was created from the ground up to fully utilize touch, turns the iPad into practically any instrument that can be imagined. Because of the iPad’s portability, it also becomes a fully functional studio on the go. Musicians can finish intricate multitrack projects, design unique software instrument sounds, use a fully functional professional mixer, and experiment with the app’s extensive effects plug-in library thanks to the strength and performance of Apple silicon.

Project round-tripping makes it simple to work between an iPad and a Mac, enabling users to continue refining their project when they return to the studio and continue making music while on the go.

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