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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read our disclaimers and disclosures on the Investorideas.com website and that
this podcast is not an endorsement to buy products or services or securities.
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Read and hear other editions of the AI Eye
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