AI News and Stocks on the Move (NASDAQ: $AMZN), (NASDAQ: $ALTR) (NYSE: $EPAM)
Delta, Kelowna, BC, December 5th, 2024 (Investorideas.com Newswire), investorideas.com, a global news source covering leading sectors including Artificial Intelligence (AI) releases today’s podcast edition of the AI Eye podcast -news and stocks to watch plus insight from thought leaders and experts.
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Read this in full at https://www.investorideas.com/news/2024/artificial-intelligence/12051AMZN-ALTR-EPAM.asp
Today’s podcast overview/transcript:
In today’s podcast we look at a few public company announcements and how the AI sector is impacting aviation and medical technology as well as some great new potential in advertising.
Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN) and poolside, the frontier artificial intelligence (AI) unicorn valued at $3 billion in an October funding round, announced a multi-year agreement to make poolside's generative AI Assistant and foundation models (FMs) available in Amazon Bedrock. Amazon Bedrock is a fully-managed service that offers developers access to high-performing models from leading AI companies through a single API. As a result, enterprise customers will soon be able to customize poolside's generative AI Assistant for software development with their own data, leveraging the security, privacy, and performance of AWS.
As part of the agreement, poolside will also leverage AWS Trainium chips to power inference for its malibu and point foundation models, enabling optimal price performance for customers. AWS Trainium is a high-performance machine learning chip designed to reduce the time and cost of running generative AI models. AWS customers are now able to deploy poolside securely on Amazon Elastic Cloud Compute (EC2) and will soon be able to so through Amazon Bedrock, relying on Amazon EC2 Trainium instances for inference.
Solving for the generative AI needs of enterprise organizations
Bringing poolside's models to Amazon Bedrock and EC2 provides enterprise customers of both companies with a unique advantage to solving complex software engineering tasks and driving development productivity for their organizations through generative AI. poolside FMs are designed to be fine-tuned with each business's code and data, producing a proprietary generative AI model and software engineering assistant for that specific business. poolside in Amazon Bedrock and EC2 will enable enterprise organizations to meet security, privacy and compliance concerns and quickly deploy their custom generative AI models. AWS customers will be able to deploy poolside models where their data is stored, within their firewalls, on the world's most secure cloud, and with no data shared back with poolside.
poolside's Reinforcement Learning From Code Execution Feedback (RLCEF) technique runs on AWS today, powering approximately one million container images, while allowing for 10,000 code executions per minute. RLCEF allows poolside to generate synthetic training data at scale by exposing models to realistic coding tasks in real-world code bases, providing feedback based on code execution, and employing a large-scale Reinforcement Learning approach for training. Proving RLCEF at scale is what allows poolside models to train on increasingly more data without relying on any of their customers' data – enabling enterprise customers to deploy models securely and privately.
"We've been incredibly impressed with the AWS team and are excited to partner on this journey to unlock more of the potential of AI for software development," said poolside CEO Jason Warner. "Today, the majority of developers sit within an enterprise environment where access to these tools is scarce and their full potential is not yet realized. Companies of this scale need a tailored model that can both capture their proprietary knowledge and learn from their interactions over time. That is what we've built, and AWS's reputation and depth within the enterprise is key to accelerating adoption and impact."
"Giving AWS customers the flexibility to run poolside in Amazon Bedrock or on their own EC2 instances will further enhance their ability to innovate with generative AI," said Dave Brown, Vice President, AWS Compute & Networking Services. "poolside offers a unique solution for software engineering teams of large enterprise customers looking to build and scale generative AI applications through foundation models without sacrificing privacy and security. It's yet another way for enterprise organizations to leverage their internal knowledge base to build proprietary, tailored solutions."
Streamlined procurement, contracting, and budgeting through their relationship with AWS makes it even easier for AWS customers to experiment securely with poolside.
AWS is the first cloud provider to offer fully-managed models from poolside. The poolside Assistant is powered by models ideal for software development and coding-related use cases: poolside's malibu and point generative AI models. poolside's FMs are trained on the world's largest pool of code execution data and fine-tuned on how large enterprises write software. malibu is highly versatile and excels at tackling complex engineering challenges, delivering intricate code generation and test and documentation generation. point is engineered for rapid code completion, leveraging advanced context awareness to accurately predict developers' needs. point offers real-time suggestions for algorithm optimization and design patterns. With poolside, Amazon Bedrock customers will soon have their own proprietary models, fine-tuned on their own data, that continuously learn how their developers write code.
Altair (Nasdaq: ALTR), announced that it will work together with Auburn University's Samuel Ginn College of Engineering on a $1.25 million AFWERX Phase II STTR contract. The two organizations will develop analytical models for cyclonic flows, construct computational models, and study the stability of different vortex engines to address the challenges facing public and private sector aerospace organizations.
Within the contract, Altair is assuming the previous role of Research in Flight, which was founded in 2013 and won a series of development contracts and grants over a 10-year span. Altair acquired Research in Flight in April 2024 and its technology is now known as Altair® FlightStream™, part of the Altair® HyperWorks® platform.
"This opportunity continues Altair's legacy of innovation in the aerospace industry and demonstrates the power of our technology as we work closely with a prestigious institution such as Auburn University," said Pietro Cervellera, senior vice president of aerospace and defense, Altair. "FlightStream empowers users in unique ways, bridging the gap between high-fidelity CFD simulations and engineering demands to set industry standards for efficiency, accuracy, and speed."
Within the project, the Auburn University team – led by Dr. Joe Majdalani, the university's Hugh and Loeda Francis Chair of Excellence in the department of aerospace engineering – will use FlightStream to identify optimal conditions within vortex engines. FlightStream will help the team predict cyclonic flow performance and acoustic signature characteristics at a fraction of the time compared to previous methods. These models will enable users to rapidly predict the stability performance of thrust engines earlier in the design cycle over a range of operating conditions.
"This contract allows us to develop next-generation solutions for vortex engines and collaborate with Altair, whose decades of experience and technology now includes the tool from Research in Flight," Majdalani said. "Previously, each test seeking to study vortex engine capabilities and stability limitations took about two weeks. With FlightStream, these same predictions take just a few minutes. We are thrilled to see how these tools will transform this space."
The contract is awarded by AFWERX. AFWERX is the innovation arm of the United States Department of the Air Force (DAF) that harnesses cutting-edge American ingenuity from small businesses and startups to address the most pressing challenges of the DAF. Since 2019, AFWERX has executed over 6,200 new contracts worth more than $4.7 billion to strengthen the U.S. defense industrial base and drive faster technology transition to operational capability.
EPAM Systems, Inc. (NYSE: EPAM), a leading digital transformation services and product engineering company, announced the successful completion of its acquisition of First Derivative, a Northern Ireland-headquartered managed services and consulting business for the capital markets industry with more than 1,800 employees worldwide and major delivery capability in the U.K., Ireland, North America and APAC.
First Derivative has one of the largest, fully dedicated capital markets consulting teams in the world. The Company deploys a range of technology capabilities to assist clients in meeting their technology challenges, including application development and modernization, real-time data platforms, robotic process automation, machine learning and artificial intelligence.
"As we complete this acquisition, we are excited to welcome First Derivative's talented team and client base to EPAM," said Balazs Fejes, President of Global Business and Chief Revenue Officer, EPAM. "This partnership brings together EPAM's digital, AI, cloud and engineering capabilities with First Derivative's expertise in financial services. Whilst First Derivative has historically been a key player in financial services and capital markets, we see significant opportunity to apply First Derivative's specializations in regulated industries and implementations of specialized commercial software solutions to our wider customer base."
EPAM will leverage First Derivative's strong industry experience and brand to deliver a comprehensive set of AI-enabled capabilities to clients in banking, capital markets and other financially regulated businesses across North America, Europe and APAC.
"We are pleased to officially join forces with EPAM, a partner whose commitment to technological innovation aligns perfectly with our vision," said David Collins, CEO, First Derivative. "Together, EPAM and First Derivative offer strengthened financial services to clients, empowering operational insights, driving innovation and more effectively managing risk in an increasingly data-driven landscape."
Neusoft Medical Systems Co., Ltd., a global leader in medical imaging solutions and services, announced its participation in the Radiological Society of North America (RSNA) 2024 Annual Meeting, taking place in Chicago from December 1-5.
RSNA is the world's premier scientific and educational event for the radiological sciences, bringing together leading professionals from around the globe. At this year's meeting, Neusoft Medical Systems is showcasing its cutting-edge portfolio of AI-powered medical imaging technologies designed to enhance diagnostic precision, streamline clinical workflows, and expand access to quality care globally.
"At Neusoft Medical Systems, we empower radiologists to address clinical challenges while enhancing the accessibility and affordability of medical imaging for regions and communities in need," said Patrick Wu, CEO of Neusoft Medical Systems. "By integrating advanced medical imaging, artificial intelligence, and clinical expertise, we aim to provide caregivers with comprehensive tools for accurate diagnoses. We look forward to engaging with industry leaders at RSNA 2024 to further advance healthcare through innovation."
The booth features a variety of groundbreaking innovations, including:
● NeuViz Epoch+ CT: A 512-slice CT capable of freezing cardiac in one beat by 0.235s ultra-fast rotation speed. Its AI-powered ClearInfinity reconstruction delivers ultra-low-dose imaging with superior resolution.
● NeuMR Universal: The industry's first Dual-energy 3.0T MRI, featuring the revolutionary Dual-energy Gradient System. This innovative design provides explosive power in gradient output and remarkable staying power, ensuring a stable gradient waveform.
● NeuAngio-CT Plus: A high-end, wide-coverage Angio-CT system offering a comprehensive one-stop solution for interventional diagnosis and treatment. It streamlines surgical workflows by integrating preoperative planning, intraoperative guidance, and postoperative evaluation into a single platform, significantly improving operational efficiency.
● NeuEra PET/CT: The world's first 180ps grade fully digitized PET/CT, achieving a qualitative leap from 3 minutes for a single bed in the clinical detection process to an extremely fast scan of 15 seconds.
Lastly in the world of online advertising, AdCreative.ai, announced the launch of the world's first AI-powered product-to-product video generation model. Built with AdLLM at its core, the first large language model created exclusively for advertising, this tool is set to transform how businesses create high-impact, conversion-optimized video content.
The Product VideoShoot AI Model redefines video creation by converting static product photos into professional-grade videoshoots designed to maximize engagement and conversions. This cutting-edge technology combines contextual understanding with advertising insights to deliver tailored video content perfectly timed for seasonal promotions and campaigns.
Key Features
● Contextual Understanding: The AI analyzes static product photos and user prompts to create conversion-optimized videos aligned with specific objectives.
● Behavioral and Emotional Insights: Using first-party data from 3 million advertisers across 194 countries, the AI predicts audience responses to produce videos that drive engagement and sales.
● Brand Compliance: Videos adhere to brand guidelines, ensuring consistent visuals, tone, and color schemes while meeting global regulatory standards.
● Respect for Brand Identity: The AI preserves each brand's tone and visual identity, producing content that reflects its messaging and aesthetic.
● AdLLM Integration: Powered by AdLLM, trained on over 840 million high-conversion ads, the model delivers unmatched accuracy in generating videos that convert.
● Technical Excellence: Produces 16-second 1080p HD videos with customizable styles and professional effects like cinematic zoom and motion control.
The Product VideoShoots feature is currently available to Pro and Enterprise customers during its beta phase, with plans for broader rollout. Press and content creators can explore this innovation via the AdCreative.ai Lab for a free trial.
"This innovation marks a new era in advertising," said Tufan Gok, CEO of AdCreative.ai. "Our goal is to make high-quality, conversion-focused video creation accessible to businesses of all sizes."
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