Archive for the ‘Predictions’ Category
Wednesday, January 17th, 2024
By Nick Dutton, senior director for product marketing, Atmosic
Nick Dutton
Consumers and businesses alike are prioritizing sustainability in their purchase decisions. We’re all becoming more conscious of the environmental impact of the products we use and discard. Below is a look at some segments where we’re seeing this demand for sustainability in full force.
In 2024, we’ll see consumers double down on sustainable asset trackers. Why? Simply put, people want a more convenient way to keep track of their items, whether it be luggage, keys, or even pets. As consumers are deciding what type of tracker to purchase, battery life is a critical consideration. Replacing batteries costs time and money. Plus, battery waste is bad for the environment, making eco-friendly asset trackers a must-have. One great example is the Samsung SmartTag2, which delivers 700 days of battery life thanks to Atmosic’s ATM3325 Bluetooth 5.3 SoC.
Furthermore, many industries—including healthcare, agriculture, and manufacturing—rely heavily on asset tracking applications. Asset trackers are a great way for businesses to manage the equipment in their facilities and keep tabs on where shipments are going. Since these companies have anywhere from hundreds to thousands or even millions of assets to manage, it’s critical that businesses choose sustainable asset trackers to minimize their maintenance time, costs, and carbon footprint.
We’re seeing a growing demand for other types of sustainable devices as well. Retail stores are adopting eco-friendly electronic shelf labels (ESLs) to display real-time pricing information. Enterprises are adopting sensors and beacons with extended battery life that can be integrated into all sorts of IoT applications. Plus, consumers are looking for eco-friendly keyboards and mice. Targus’ ErgoFlip EcoSmart Mouse, which was selected as a CES 2024 Innovation Award Honoree, stands out in this category; it reduces power consumption by using an Atmosic ATM2 Bluetooth SoC that is four times more energy efficient than other BLE chipsets.
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Tuesday, January 16th, 2024
Here are two predictions by Gary Campbell, EVP Central Engineering and Richard Grisenthwaite, EVP Chief Architect, Arm
The future of AI
By Gary Campbell, EVP Central Engineering, Arm
“AI is fundamentally changing the way we live and work, and this transformation will only accelerate over the next 12 months – and well beyond that. In 2024, the conversation around AI will become more nuanced, focused on the different types of AI, use cases and – crucially – what technological foundation we need to put in place to make the AI-powered world of the future a reality.
Advanced, purpose-built chips will play a critical role in allowing today’s AI technologies to scale and in fueling further advancements in their deployment. The CPU is already vital in all AI systems, whether it is handling the AI workload entirely or in combination with a co-processor, such as a GPU or an NPU. As a result, there will be a heightened emphasis on the low power acceleration of these algorithms and the chips that run AI workloads in areas of intense compute power, like large language models, generative AI, and autonomous driving.
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Monday, January 15th, 2024
By Dr. Larry Williams, Distinguished Engineer at ANSYS Inc.
Dr. Larry Williams
Technological Innovations
There are a number of technological innovations that I predict will turn heads in 2024.
First, continued 3D-IC and heterogeneous integration. The slowing of Dennard Scaling and Moore’s Law can be mitigated in part by 3D-IC integration, but 3D-IC has several multiphysics challenges like thermal integrity, mechanical stress, and warpage. This is due to differential thermal expansion, electromagnetic modeling for signal integrity, and full-system power integrity. These trends drive the industry to add simulation of novel physical effects as part of integrated EDA workflows. Ansys RedHawk-SC Electrothermal offers a gold-standard technology platform to examine and simulate the multiphysics behavior of 2.5D and 3D-IC designs. Designers use it to model and analyze the full-system multiphysics of entire 3D-IC designs, including chip, interposer, package, and system boundary conditions. RedHawk-SC Electrothermal relies on core solver technology from trusted golden signoff tools including RedHawk-SC™, HFSS™, Icepak™, Ansys Mechanical™, and more, to provide a comprehensive workflow for the multiphysics challenges.
From these innovations, it’s clear that 3D-IC technology is driving an inflection point in semiconductor design, which has spurred Ansys and the entire EDA industry to retool with an expanded set of multiphysics capabilities that will still be undergoing rapid advances in 2024.
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Friday, January 12th, 2024
By Ken Butler, Business Development Senior Director, Advantest Cloud Solutions (ACS)
Ken Butler
Most semiconductor market sectors saw a softening of business in 2023. However, 2024 should herald a rebound in demand. One driver will be the U.S. CHIPS and Science Act, which has already awarded its first contract as of this writing, and the similar efforts in other countries, each intended to minimize reliance on foreign sources within their respective semiconductor supply chains. Another part of that increase will be attributed to recent significant growth in the use of artificial intelligence (AI). In day-to-day life, there are many examples, such as AI-powered text and image generation, large language model (LLM)-enabled search engines from all the major providers, and AI productivity enhancers for many endeavors in STEM fields and others.
AI in Semiconductor Test
Semiconductor test is no exception to the infusion of AI technology into workflows and will also benefit from these new advances. In late 2023, Advantest announced the availability of the ACS Real-Time Data Infrastructure (RTDI), fueled by customer demand for adding complex AI/ML analytics to their test solutions. For all modern semiconductor products, but particularly for highly integrated “More than Moore” chiplet-based designs, product teams will continue to look for ways to incorporate advanced inferencing into the test process to optimize this valuable resource. Test optimization will be a frequent goal – every device should see “the right” test content – no more and no less than it needs. But today’s neural network-based techniques will also be used to detect devices that are quality or reliability risks, and should either be scrapped or have additional screening applied to ensure they will meet the demands of the end application and do so throughout the expected lifetime. Yield improvement will be another target, and AI will be applied to maximize product learning during the initial product ramp and into high-volume manufacturing. These inferences will increasingly be written in the languages favored by data scientists, such as Python, and made to run in concert with a test program written in a more traditional programming language.
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Tuesday, January 9th, 2024
By Andreas Kuehlmann, CEO, Cycuity
Andreas Kuehlmann
Regulations and Vulnerabilities Make 2024 a Pivotal Year for Semiconductor Chip Security
What 2024 Holds for Semiconductor Chip Security
Conversations around semiconductor chip security took place with greater frequency and prominence in 2023. Government legislation and newly discovered hardware vulnerabilities thrust the issue under the spotlight, and these developments will ensure hardware security remains a priority throughout 2024 and beyond.
The good news is that with so much at stake, the semiconductor industry is recognizing the need for more investments, accountability, and transparency. In 2024, we expect security will become a greater part of the design process, with higher priority given to adapting a comprehensive security design lifecycle ranging from developing verifiable security requirements, comprehensive security verification to documentation of security signoff.
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Monday, January 8th, 2024
By Tora Fridholm, Corporate Marketing Manager at Codasip
In 2024, the tech scene is in for a shake-up and it’s all about customization and Custom Compute.
Technological Innovations / AI
AI’s shift to the edge is driving demand for custom accelerators, and RISC-V processors are stealing the spotlight. Companies designing AI platforms will be looking for differentiation as industry consolidation accelerates. Differentiation with unique algorithms will be augmented with customized processors for the specific software workloads. Meta openly talked about this at the RISC-V Summit (Nov. 2023) and more companies will make their plans public.
Codasip is investing in Custom Compute and using this technology to drive advances in AI for IP verification and design as well as technologies to drive end-user AI applications.
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Thursday, January 4th, 2024
By Pat Brockett, CEO, Celera Inc
Pat Brockett
Time for the Innovation Floodgates to Finally Open
Product innovation has accelerated over the past decade. Thanks to the widespread deployment if AI, there is now intelligence in just about every product we touch. These changes have improved our lives and saved some in the process. The trend seems to be unstoppable. But there is another side of what is happening all around us. It has to do with what is creating innovation, and what is enabling that innovation.
For many decades the chip industry led the way for innovation. A new processor from Intel or new cell phone platform from Qualcomm would define new markets and spur innovation. Over the past decade or so that’s changed. Now, software leads the way for innovation. New business models, new user experiences and all that intelligence we see in everything is defined by software.
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Wednesday, December 6th, 2023
NVIDIA AI experts predict rapid transformations across industries as companies accelerate AI rollouts and begin to build best practices for adopting generative AI.
by CLIFF EDWARDS
Move over, Merriam-Webster: Enterprises this year found plenty of candidates to add for word of the year. “Generative AI” and “generative pretrained transformer” were followed by terms such as “large language models” and “retrieval-augmented generation” (RAG) as whole industries turned their attention to transformative new technologies.
Generative AI started the year as a blip on the radar but ended with a splash. Many companies are sprinting to harness its ability to ingest text, voice and video to churn out new content that can revolutionize productivity, innovation and creativity.
Enterprises are riding the trend. Deep learning algorithms like OpenAI’s ChatGPT, further trained with corporate data, could add the equivalent of $2.6 trillion to $4.4 trillion annually across 63 business use cases, according to McKinsey & Company.
Yet managing massive amounts of internal data often has been cited as the biggest obstacle to scaling AI. Some NVIDIA experts in AI predict that 2024 will be all about phoning a friend — creating partnerships and collaborations with cloud service providers, data storage and analytical companies, and others with the know-how to handle, fine-tune and deploy big data efficiently.
Large language models are at the center of it all. NVIDIA experts say advancements in LLM research will increasingly be applied in business and enterprise applications. AI capabilities like RAG, autonomous intelligent agents and multimodal interactions will become more accessible and more easily deployed via virtually any platform.
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Tags: Artificial Intelligence, Cloud Services, Digital Twin, Embedded Computing, Energy, Financial Services, Generative AI, Healthcare and Life Sciences, High Performance Computing, Media and Entertainment, Retail, Supercomputing, Synthetic Data Generation, Telecommunications, Trustworthy AI Comments Off on 2024 Nvidia Outlook: The AI Revolution in Business, from Generative Models to Quantum Leaps
Wednesday, February 1st, 2023
By Pim Tuyls, CEO, Intrinsic ID
Pim Tuyls
Looking Ahead: Security Trends for 2023
The world is becoming ever more connected through the internet of things (IoT) and reliant on these connections to drive communication, commerce, healthcare, and defense systems. At the same time, cyberattacks are on the rise. This drives the need for secure authentication, trusted communication, and data protection. Each device in the connected world must be safe and trustworthy; each data communication must be protected from eavesdropping; each embedded software program must be protected from reverse-engineering; the privacy of each piece of personal data must be preserved. This is a very complex problem that is only becoming more so as connected devices have begun to comprise numerous components from multiple manufacturers.
Happily, there is rapidly growing awareness that security is vital to keep the connected world that we all depend on safe and trustworthy. Here I will identify several trends that I believe will be driving the wider adoption of security solutions for the semiconductor market in 2023.
System-in-Package
Moore’s Law is reaching its limits, and with chip designs growing ever more complex, it is becoming increasingly difficult for many designs to fit onto a single die. This is either because of limitations to the reticle size for chip manufacturing or because it’s getting more complex and very expensive to scale a monolithic system-on-chip (SoC) down to a new technology node. The solution for these limitations in the production process is the system-in-package (SiP), where one package contains multiple individual chiplets, each with their own functionality. This approach results in lower cost and faster time-to-market, while enabling specific functions to be implemented at their optimal technology nodes. Because of these benefits, Gartner predicts that by 2026, 20% of all semiconductor devices shipped will incorporate advanced 3D packaging technology, up from less than 1% in 2021.
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Tuesday, January 31st, 2023
By Jim Garstka, VP Sales & Business Development, Plasma-Therm
Jim Garstka
Global Digitalization Will Drive Market Demand
The coming year will prove to be another exciting period of technological advances in the semiconductor industry, as our daily lives continue to become more digitized. Consumer applications that will continue to grow in 2023 include electric and autonomous vehicles, augmented reality, virtual reality, artificial intelligence and hyperscale data centers – all of which have driven growth the past few years and are expected to accelerate in the coming year as market demand rises.
So, what is driving the advances that are making these consumer applications more affordable, effective and power-efficient? Wide-bandgap compound semiconductors such as silicon carbide (SiC), gallium nitride (GaN) and gallium oxide (Ga2O3) are some of the critical materials behind these emerging technologies. These materials are essential to the growing power device market – which is forecasted to grow at a rapid compound annual growth rate (CAGR) of nearly 34% between now and 2027, according to the Yole Group’s Power SiC 2022 report. This bodes well for Plasma-Therm and other equipment providers with proven expertise in providing solutions for these materials, including our broad offering of etch, thin-film deposition and rapid thermal processing products. Chip manufacturers will increasingly need to work with suppliers who have the tool and material expertise to optimize processes that produce high-performance, energy-efficient chips, and we expect 2023 to be another banner year in these high-growth specialty markets.
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