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Explore AI Careers in the United States: Apply Today – Analytics Insight

Learn about and apply for artificial intelligence careers in the United States

Artificial intelligence (AI) is one of the most rapidly growing and in-demand fields in the United States, with job openings expected to grow 33% by 2030, much faster than the average for all occupations. AI careers offer competitive salaries, exciting opportunities to work on cutting-edge technologies, and the chance to make a real impact on the world. In this article lets explore the available AI careers in the United States.

Role: AI/ML Developer

Qualifications: Expertise in Python libraries for machine learning, natural language processing, image preprocessing, and databases, as well as experience with machine learning toolkits and frameworks, deep learning concepts, and applying ML algorithms effectively.

Responsibilities: Design, develop, and train machine learning systems to optimize performance and build self-learning applications. Stay up-to-date with the latest developments in the field and use GPU, pyspark, and parallel compute libraries in Python. Understand how components and processes work together using library calls, REST APIs, queueing/messaging systems, and database queries. Design systems to avoid bottlenecks and scale well with increasing volumes of data.

Link to apply

Role: AI/ML EngineerQualifications: Data science, statistics, or machine learning education, with strong programming skills in Python, R, or Java. Experience with machine learning frameworks and setting up machine learning problem spaces and solutions. Ability to evaluate the performance and efficacy of machine learning solutions and interest in advanced machine learning concepts.

Responsibilities: Collaborate with data scientists, machine learning engineers, software engineers, and QA engineers to explore and prototype data and machine learning opportunities. Design, develop, test, and support services to deploy resulting models and cognitive solutions in production.

Link to apply

Role: Machine Learning Researcher

Qualifications: 3+ years of experience in machine learning for computer vision applications, with a strong understanding of machine learning algorithms and a proven track record of developing and deploying high-quality computer vision algorithms. Excellent software design, problem-solving, and debugging skills. Fluency in Python and another language (C/C++, Go, Rust), as well as experience with relevant deep learning software packages. Great technical skills, a drive for high-quality software, and the ability to innovate creative solutions. Excellent communication and the flexibility to learn new technologies.

Responsibilities: Youll be involved in all stages of model development, from data analysis and prototyping to testing and deployment.

Link to apply

Role: AI Research Scientist

Qualifications: Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, with 3+ years of experience in neural architecture search (NAS) and machine learning for training deep neural networks.

Responsibilities: This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on their business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances, the work model may change to accommodate business needs.

Link to apply

Role: Senior Artificial Intelligence Scientist

Qualifications: Experience in machine learning research, evidenced by at least one first-author publication in a scientific journal, or equivalent, and experience with search and/or optimization-based sequence design algorithms.

Responsibilities: You will join a growing team of AI/ML experts and work closely with scientists across gRED to develop and deploy machine learning methods for the analysis of single-cell genomics datasets and biological sequences. You will help build and scale machine learning techniques to handle massive datasets and deploy novel machine learning algorithms.

Link to apply

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Explore AI Careers in the United States: Apply Today - Analytics Insight

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WiMi Announced a Multi-View Hybrid Recommendation Model … – AiThority

WiMi Hologram Cloud Inc.a leading global Hologram Augmented Reality (AR) Technology provider, announced that a deep learning-based multi-view hybrid recommendation model was developed. This model can consider multiple views and information sources simultaneously to capture the relationship between users and items more comprehensively. By fusing features from different views, the multi-view hybrid recommendation model can provide more accurate and personalized recommendation results.

The significance of the multi-view hybrid recommendation model lies in the ability to synthesize information from different views to gain a more comprehensive understanding of the users interests and preferences. For example, user behavior data can reflect the users historical behavior and preferences, social network data can reflect the users social relationships and social influence, and content data can reflect the attributes and characteristics of items. By combining information from these different views, we can more accurately predict users interests, improve the accuracy and personalization of the recommendation system, and at the same time solve the data sparsity and cold-start problems so as to provide better recommendation results.

Recommended AI News:Riding on the Generative AI Hype, CDP Needs a New Definition in 2024Deep learning is utilized in WiMis deep learning-based multi-view hybrid recommendation system for feature learning and recommendation model construction. Feature learning refers to the automatic learning of user and item representations through deep neural networks, so that user interests and item characteristics can be better captured. Recommendation model construction, on the other hand, refers to applying the learned features to specific recommendation tasks, such as user behavior-based recommendation, content-based recommendation, and so on. Commonly used models for the application of deep learning in recommendation systems include matrix decomposition-based models, convolutional neural network-based models, recurrent neural network-based models, and so on. These models make recommendations by learning user and item representations and combining user behavior and item features.

In a multi-view hybrid recommendation model, we need to consider information from multiple views (e.g., user behavior, item attributes, social networks, etc.) to make recommendations. The details of the deep learning-based multi-view hybrid recommendation model developed by WiMi are as follows:

Input layer: Firstly, the feature representation of each view is used as the input to the model, for each view, we use different feature extraction methods, for example, for the user behavior view, we can use the users click record as the feature; for the item attribute view, we can use the items attribute vector as the feature.

View feature integration layer: In this layer, we integrate the features of different views, and can use some integration methods to fuse the information of different views together to get a more comprehensive feature representation.

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Feature encoding layer: The integrated features are encoded using deep learning models (e.g., neural networks). This maps the high-dimensional features to a low-dimensional representation space and extracts more useful features.

Feature interaction layer: The encoded features interact with each other, and some interaction methods can be used, such as dot product and weighted summation, so that the interactions between different features can be captured and the expressive power of the model can be improved.

Output layer: Using some output layer methods such as a fully connected layer, softmax, etc., the features are mapped to a probability distribution of the recommendation results, so that a recommendation result can be obtained for each user.

With the above model layers, the information from multiple views can be fully utilized to improve the accuracy and personalization of recommendations. At the same time, the model is also highly scalable and it is easy to add new views or adjust the model structure.

With the popularization of the Internet and mobile Internet, the application scenarios of recommendation systems are becoming more and more extensive, such as e-commerce, news reading, music recommendation and so on. At the same time, with the continuous development of data collection and storage technology, the available data types and quantities are also increasing, which provides a broader space for the development of recommendation systems.

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The WiMis deep learning-based multi-view hybrid recommendation model utilizes deep learning techniques to combine information from multiple views or perspectives to construct a comprehensive recommendation model approach, which can comprehensively utilize multiple types of data to provide more accurate and personalized recommendation services, and can also adaptively adjust the recommendation strategy so as to improve the recommendation effect and user satisfaction.

[To share your insights with us, please write tosghosh@martechseries.com]

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WiMi Announced a Multi-View Hybrid Recommendation Model ... - AiThority

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FEATURE: MathWorks electrical and software engineering in the … – Automotive Testing Technology International

Andrew Bennett, manager of engineering at MathWorks, discusses electrical and software engineering in the digital age

Please tell us about your role at MathWorks.I lead the electrical simulation development team, focusing on Simscape. In addition to being used in the automotive industry, Simscape is used across industries to provide representations of the real world for designing, developing and testing models of physical components and systems. My team and I bring together model, control and protection systems into an overarching tool by unifying MathWorks capabilities. We then ensure they are easy to use for designing electrical systems.

What is the biggest R&D challenge you currently face?Creating systems that serve multiple purposes is an ongoing challenge, as the models need to be the right level of detail for any given application. While one person may use Simscape to design a single circuit, another could use it to see how multiple circuits interact. To meet various customer needs, Simscape enables more complex multidomain (electrical, fluidic, mechanical, thermal) systems to be represented. These advancements are enabled by symbolic manipulation and symbolic equations that bring physics equations together in an efficient and solvable way that is useful to engineers and technologists.

Whats the general R&D and testing process at MathWorks?In a similar way to how automotive engineers think about software design for vehicles, my team and I must think about software design from the perspective of a desktop user or a vehicle engineer who wants to use desktop software. Around 50% of my team are domain experts and 50% are software experts, so were trying to stand in the middle to reconcile those two areas in a similar way to how auto makers are working as they develop software for vehicles.

Across MathWorks, we have a testing infrastructure that is effectively continuous integration; whenever we write any component, we unit test it, then scale up to system-level tests. When anyone makes any change, all of the tests have to be run for that particular component much in the same way were seeing automotive companies do. We operate as a software developer using continuous integration very rigorously to make sure our software has as few defects as possible. That puts us in a great position to coach, inform and educate auto companies in how they can adopt those processes. I feel like Im an electrical engineer whos now also a software engineer.

In what ways do different companies use Simscape?A lot of companies use our physical modeling tools as a proxy for the real world, such that they can simulate their control systems and protection systems in a desktop environment, to check and test that those algorithms are working correctly before they start putting the algorithms into vehicles.

Some come to MathWorks with an existing process and they realize that they can make their process much more robust and efficient by moving to MathWorks. Then there are the companies that dont have an existing toolset. In other cases, a company might have existing code that they want to integrate. If theyve got a motor controller or a battery controller theyve already written, for example, they can bring that into the Simulink environment and test it against our virtual Simscape models. Or, if they want to design a new algorithm, they can do so.

How can companies cut complexity and increase efficiency when it comes to electronics engineering?Ultimately, moving as much of the de-risking as possible earlier in the development process helps to get rid of any defects and earlier in the process when it is cheaper to fix things. By using the physical models of electrical systems and battery systems, theyre able to fully bottom out sizing calculations, thermal calculations, electrical calculations and transient responses of these different systems as well as make and fully validate what happens when the electrical systems go wrong.

Is it worth decoupling hardware and software?Yes. An issue that many organizations face is potentially late availability of the hardware. By having a desktop simulation model in Simscape, they can do much of the analysis early on to make sure that their systems dont just work but that theyre robust algorithmically. Then when the actual hardware arrives, they can easily transition the algorithms through automatic code generation to do checks on the real hardware.

There is an in-between stage whereby developers will test the models on real-time hardware first. From Simscape you can automatically generate those HIL models and the software control algorithms and test them on a production ECU on a HIL rig, for instance. These are extra checks and balances as well as moving and de-risking things as much left in the process.

How would you define the current state of play in automotive software testing?In the world we live in today, a lot of organizations are grappling with software. I dont think its an automotive-specific challenge; everyone needs to improve their processes in handling the level of software engineering thats required today to enable such complicated, highly responsive, automated systems. Using MathWorks tools, people can get to a solution much more quickly and get a head start to meet the challenges they may face.

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FEATURE: MathWorks electrical and software engineering in the ... - Automotive Testing Technology International

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Global Precision Engineering Machines Market Size To Grow USD 23.24 Billion By 2032 | CAGR of 6.4% – Yahoo Finance

SPHERICAL INSIGHTS LLP

The Global Precision Engineering Machines Market Size was valued at USD 12.50 Billion in 2022 and the global precision engineering machines market is expected to reach USD 23.24 Billion by 2032. According to a research report published by Spherical Insights & Consulting, Companies Covered: Amada Machine Tools Co., Ltd., Amera-Seiki, DATRON AG, Dalian Machine Tool Group (DMTG) Corporation, DMG Mori Co., Ltd., FANUC Corporation, Haas Automation, Inc., Hurco Companies, Inc., Okuma Corporation, Shenyang Machine Tool Co., Ltd., Yamazaki Mazak Corporation. And other key Vendors.

New York, United States , Nov. 06, 2023 (GLOBE NEWSWIRE) -- The Global Precision Engineering Machines Market Size is to Grow from USD 12.50 Billion in 2022 to USD 23.24 Billion by 2032, at a Compound Annual Growth Rate (CAGR) of 6.4% during the forecast period.

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Precision engineering machines are advanced mechanical devices used in industries such as aerospace, automotive, electronics, and medical equipment. Equipped with cutting-edge technologies like CNC systems, sensors, and high-precision actuators, these machines offer exceptional accuracy and repeatability. They perform tasks like milling, turning, grinding, and drilling with micron-level precision, ensuring the production of complex components and products with tight tolerances. Engineered to minimize vibrations and thermal effects, precision engineering machines push the boundaries of manufacturing capabilities. They play a crucial role in advancing technology and innovation by enabling the production of intricate parts that are vital for various industries.

Browse key industry insights spread across 210 pages with 126 market data tables and figures & charts from the report on the "Global Precision Engineering Machines Market Size, Share, and COVID-19 Impact Analysis, By Type (CNC Machine Tools, EDM Machine Tools, and Others), By End-Use (Automotive and Non-Automotive), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 2032".

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Both the CNC machine tools and EDM machine tools segment is expected to grow at a CAGR of around 6.5% during the forecast period

Based on the type, the global precision engineering machines market is segmented into CNC machine tools, EDM machine tools, and others. Both the CNC machine tools and EDM machine tools segments in the precision engineering machines market are expected to exhibit substantial growth. The CNC machine tools offer advanced automation, precision, and versatility in manufacturing processes, driving their demand across industries. Similarly, EDM machine tools provide high precision and the ability to work with difficult-to-machine materials, making them essential for industries such as aerospace and medical equipment. The growing emphasis on automation, technological advancements, and increasing demand for precision components are driving the growth of both CNC machine tools and EDM machine tools in the market.

The automotive segment is expected to grow at a CAGR of around 6.2% during the forecast period

Based on end-use, the global precision engineering machines market is segmented into automotive and non-automotive. The automotive segment is expected to witness significant growth during the forecast period in the precision engineering machines market. The automotive industry is constantly evolving, with increasing demands for lightweight and fuel-efficient vehicles. Precision engineering machines play a crucial role in manufacturing complex automotive components, such as engine parts, transmission systems, chassis components, and electronic systems, with high precision and accuracy. The advancements in electric vehicle technology and autonomous driving systems are driving the need for advanced precision engineering machines capable of producing intricate and precise components required for these emerging automotive technologies. Moreover, the automotive sector's focus on automation, process optimization, and cost efficiency is driving the adoption of precision engineering machines to improve manufacturing productivity and quality in the automotive industry.

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Europe is predicted to grow at a significant CAGR of around 6.5% over the projected period

Based on region, Europe is expected to experience significant growth in the precision engineering machines market during the forecast period. Europe has a strong manufacturing base and is known for its high-quality precision engineering products. The region's industries, including automotive, aerospace, and electronics, demand advanced and precise manufacturing solutions. There is a growing focus on automation and industry 4.0 initiatives in Europe, driving the adoption of precision engineering machines. Moreover, the region's emphasis on sustainability and energy efficiency is pushing industries to invest in advanced manufacturing technologies, including precision engineering machines. Additionally, supportive government policies, research and development activities, and collaborations between industry players and academic institutions are expected to drive growth in the precision engineering machines market in Europe.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market. Some of the major players in the global precision engineering machines market include Amada Machine Tools Co., Ltd., Amera-Seiki, DATRON AG, Dalian Machine Tool Group (DMTG) Corporation, DMG Mori Co., Ltd., FANUC Corporation, Haas Automation, Inc., Hurco Companies, Inc., Okuma Corporation, Shenyang Machine Tool Co., Ltd., and Yamazaki Mazak Corporation.

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Recent Developments

In January 2022, The Precision Machining section of the Mercedes Benz Truck Factory was bought by Balu Forge Industries Ltd (BFIL) of Mannheim, Germany. The acquisition will be incorporated into BFIL's brand-new machining facilities in Belgaum, Karnataka, and will cement the company's position as a global leader in precision manufacturing. Because of the extension, BFIL will be able to produce crankshafts and other precision machined parts for original equipment manufacturers of class 7 and class 8 trucks and heavy-duty vehicles.

Market Segment

This study forecasts revenue at global, regional, and country levels from 2019 to 2032. Spherical Insights has segmented the global precision engineering machines market based on the below-mentioned segments

Precision Engineering Machines Market, By Type

CNC Machine Tools

EDM Machine Tools

Others

Precision Engineering Machines Market, By End-Use

Precision Engineering Machines Market, Regional Analysis

North America

Europe

Germany

UK

France

Italy

Spain

Russia

Rest of Europe

Asia Pacific

China

Japan

India

South Korea

Australia

Rest of Asia Pacific

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

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Global Precision Engineering Machines Market Size To Grow USD 23.24 Billion By 2032 | CAGR of 6.4% - Yahoo Finance

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AtkinsRalis-led consortium receives award letter for engineering, technology and procurement in support of CANDU reactor life extension in Romania -…

MONTREAL, Nov. 7, 2023 /CNW/ -Candu Energy Inc., an AtkinsRalis company[SNC-Lavalin Group Inc.] (TSX: ATRL) and the Canadian Commercial Corporation ("CCC"), a federal Crown corporation, have received an award letter from Nuclearelectrica S.A. (SNN) to provide engineering, technology and procurement of tooling and reactor components in support of the life extension of SNN's Unit 1 CANDU reactor at the Cernavoda Nuclear Power Plant in Romania. Valued at approximately $750 million, the contract will build on a series of earlier pre-project contracts for AtkinsRalis in Romania.

"As the original equipment manufacturer (OEM) of CANDU nuclear technology, we are proud that this tried and tested Canadian-developed solutionthat has been so effective domestically and abroad has also provided Romanians with emissions-free, cost-efficient and uninterrupted power for generations, securing its continued energy independence and also serving as an excellent blueprint for the rest of Eastern Europe," said Ian L. Edwards, President and Chief Executive Officer, AtkinsRalis. "Not only is this award perfectly aligned with our Net Zero philosophy, but it also operationalizes our commitment to engineer a better future for our planet and its people."

As the exclusive licensee of CANDU intellectual property portfolio and contributing its unique experience and know-how in respect of all aspects of CANDU technology, AtkinsRalis is the only organization which has taken a leading role in all CANDU reactor life extension projects to date globally, including those successfully executed or underway in Asia, North America, and South America. Work currently being performed by AtkinsRalis for CANDU reactor life extension projects in Ontario, spanning 10 reactors at Darlington and Bruce Power, is running on time and on budget.

"We are happy to extend our collaboration for the Retubing and Refurbishment Project of Cernavoda Unit 1 NPP with AtkinsRalis, which already proved its experience and capabilities. As Unit 1 is a strategic pillar for Romania's energy stability, we are proud to conduct this project at excellent standards and continue to offer clean energy for the following 30 years after its refurbishment. Moreover, the extension of the lifetime of Unit 1 will continue to bring multiple benefits to Romania: preserving high quality jobs, as well as creating new ones, investments in the community, an important contribution to local and national budget, as well as projects for the local supply chain, as part of our vision to create a sustainable future for the next generations," said Cosmin Ghi, CEO of Nuclearelectrica SA.

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"We're honoured and privileged to continue our decades-long relationship with SNN and this award letter is a sign of their continued confidence in our longstanding work and proven capabilities at Cernavoda," said Joe St. Julian, President, Nuclear, AtkinsRalis. "It is an important step toward the work that needs to be undertaken to extend the life of their CANDU reactor and to continue the legacy of CANDU technology's exemplary operating and safety record, which is a source of pride in Romania. It's why they're also progressing plans for the build of two more CANDU reactors on the Cernavoda site."

Contract signing is scheduled to take place in the coming weeksand its entry in force will be subject to the approval of SNN's General Meeting of Shareholders and the completion of Government of Canada formal approval processes.

About AtkinsRalis

Created by the integration of long-standing organizations dating back to 1911, AtkinsRalis is a world-leading professional services and project management company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data and technology to transform the world's infrastructure and energy systems. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors such as Engineering Services, Nuclear, Operations & Maintenance and Capital. News and information are available at http://www.atkinsrealis.comor follow us on LinkedIn.

About AtkinsRalis'Nuclear Business

AtkinsRalis has over 70 years' of global nuclear expertise, delivering nuclear technology products and full-service solutions to nuclear utilities around the world. AtkinsRalis is the steward of CANDU nuclear technology, operating on four continents, and provides advisory and engineering services to other nuclear developers. With an innovative technology portfolio, including access to over 500 patented solutions, AtkinsRalis solves technically complex challenges across the whole nuclear lifecycle from design and new build through asset management and from life extension and late life management through decommissioning and waste management. AtkinsRalis operates and manages government nuclear research sites, transforming ageing infrastructure and safely managing legacy nuclear waste. AtkinsRalis is also involved in developing medical radioisotopes for cancer research through its partnership with TerraPower. Read more on our Nuclear market page.

CANDU is a registered trademark of Atomic Energy of Canada Limited, used under exclusive license by Candu Energy Inc., a subsidiary of SNC-Lavalin Group Inc. doing business as AtkinsRalis.

Forward-Looking Statements

Reference in this press release to the "Company" or to "SNC-Lavalin" means, as the context may require, SNC-Lavalin Group Inc. doing business as AtkinsRalis or all or some of its subsidiaries or joint arrangements or associates. Statements made in this press release that describe the Company's or management's expectations or strategies may be "forward-looking statements", which can be identified by the use of the conditional or forward-looking terminology such as "expects", "forecasts", "intends", "may", "objective", "plans", "projects", "should", "will", "likely", or the negative thereof or other variations thereon. Forward-looking statements also include any other statements that do not refer to historical facts. All such forward-looking statements are made pursuant to the "safe-harbour" provisions of applicable Canadian securities laws. The Company cautions that, by their nature, forward-looking statements involve risks and uncertainties, and that its actual actions and/or results could differ materially from those expressed or implied in such forward-looking statements, or could affect the extent to which a particular projection materializes. Forward-looking statements are presented for the purpose of assisting investors and others in understanding certain key elements of the Company's current objectives, strategic priorities, expectations and plans, and in obtaining a better understanding of the Company's business and anticipated operating environment. Readers are cautioned that such information may not be appropriate for other purposes. Forward-looking statements made in this press release are based on a number of assumptions believed by the Company to be reasonable as at the date hereof. The assumptions are set out throughout the Company's 2022 Annual MD&A (particularly in the sections entitled "Critical Accounting Judgments and Key Sources of Estimation Uncertainty" and "How We Analyze and Report our Results") and as updated in the first and second quarters of 2023 MD&A each filed with the securities regulatory authorities in Canada, available on SEDAR+ and on the Company's website at under the "Investors" section. If these assumptions are inaccurate, the Company's actual results could differ materially from those expressed or implied in such forward looking statements. In addition, important risk factors could cause the Company's assumptions and estimates to be inaccurate and actual results or events to differ materially from those expressed in or implied by these forward-looking statements. Those risks are identified in the Company's 2022 Annual MD&A (particularly in the sections entitled "Risk and Un certainties") and as updated in the first and second quarters of 2023 MD&A and are not exhaustive. The forward-looking statements herein reflect the Company's expectations as at the date of this press release and are subject to change after this date. The Company does not undertake to update publicly or to revise any such forward-looking statements whether as a result of new information, future events or otherwise, unless required by applicable legislation or regulation.

SOURCE AtkinsRalis Canada Inc.

Cision

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We need more women, says only female winner of Millennium Technology prize – The Guardian

Science prizes

Women form just 16% of the nominees for next years award, but Nobel laureate Prof Frances Arnold says gender balance will come through girls working in science from a young age

As a Nobel laureate, Prof Frances Arnold is not short of accolades. Yet being the only woman to so far win the Millennium Technology Prize the Nobel equivalent for engineers is one of the least appealing.

Nominations for the 1m 2024 prize closed last week, and the organisers have revealed that women formed just 16.3% of nominees, the highest of any year since the biennial awards launch in 2004, apart from the 28.1% put forward in 2022.

Wed love to see more diversity in the winners of these prizes because we know that diverse people contribute to technology, Arnold, an American chemical engineer, told the Observer.

The award organiser, Technology Academy Finland (TAF), has pushed the scientific and engineering community to think about women when they consider innovations towards creating a better life.

Tim Berners-Lee was the inaugural winner in 2004 for inventing the world wide web, while others have been recognised for DNA fingerprinting, fibre optic networks and stem cell research. But Arnold said it would take time for more women to join her.

Its important to remember that these prizes are often recognising work that was started 20, maybe even 30 years ago, when women were not as numerous in the technology community as they are today, she said. So my prediction is that there will be more nominations for women because marvellous women are joining the technology community.

Also, its possible women are not recognised as much because they work in teams. And these kinds of prize often try to pinpoint a contribution of one or a few very few individuals.

Arnold said she was thrilled to have received the prize in 2016 for her work on directed evolution of enzymes. Im an engineer by training, and its a huge prize for engineers you can think of it as the Nobel prize for engineers. Two years later, I won the Nobel prize [in chemistry] I dont know how those are connected, but it was for basically the same sets of ideas.

Winning took a lot of hard work, she said. And taking the blows and standing back up again. You have to be willing to take the criticism and do the hard work. I never shied away from that. I certainly wasnt going to let someone else have all the fun. I love research, I love invention. Why would I let the men have all the fun?

In addition to her research, Arnold also co-chairs President Joe Bidens Council of Advisors on Science and Technology and teaches at the California Institute of Technology.

Half of our undergraduates are women. So the pipeline is there. Whether they stay to compete in academic research is another question.

Women often choose to look more widely than men and often go into leadership positions in industry, Arnold said, where maybe their potential for making these big discoveries is not as great.

Her own big discovery was that she could breed enzymes like others breed sheep or yeast. In directed evolution, unlike natural selection, enzymes are encouraged to mutate then selected by engineers for specific properties that are useful, such as for creating fuels, medicines, chemicals and consumer goods. Until then, most scientists had attempted to understand how each part of the enzyme worked so they could design enzymes.

It is similar to the black box approach of artificial intelligence, she said. There are a lot of parallels with AI and not just generative AI, but with artificial intelligence. Because these are navigating complex problems. Engineering an enzyme is a tremendously complex problem where we cant sit down and specify all the interactions that are important in the design nobodys been able to do that.

So machine learning and AI are very good at seeing the important patterns. We may not perceive it in the same way that the machine does it. But the machine catches those patterns and can greatly speed up the process of enzyme engineering. I do a lot of AI work myself.

Theyre both methodologies for traversing complex landscapes, wed say. And you can meld them. Evolutionary search is a very simple search process on a complex landscape. Machine learning can do it in a different way. And there are many opportunities for melding these processes.

TAF is keen for more people to nominate women for its prize. Dr Markku Ellil, the academys chief executive, said: The problem is structural and requires that women are encouraged to work in science at a young age. We aim to participate in this work through cooperation with universities and, for instance, by organising pitching contests for doctoral students and nominating candidates for Singapores Global Young Scientists Summit.

The chair of the academys board, Minna Palmroth, professor in computational space physics, said that progress was being made. Within this nominations round we pilot-tested purely women-targeted content in our nominations campaign, which gained promising results. However, there is still a lot to do, and that is why the prize will continue to encourage an increasing number of women to be nominated in the coming years.

The headline of this article was amended on 7 November 2023 to include the formal name of the prize.

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Roofe inducted into engineer alumni association | News … – The Batesville Daily Guard

JONESBORO Alex Roofe, district maintenance engineer for the Arkansas Dept. of Transportation in Batesville, was recently inducted into the College of Engineering and Computer Science (CoECS) Alumni Academy. The third cohort of members was inducted during its recent annual meeting, which was held at Woodard McAlister Family Club inside Centennial Bank Stadium.

The 23 new members were are added by invitation. Qualifications for membership include being in the workforce for at least a decade and being credited with significant professional accomplishments. Those considered for membership are either graduates of one of the colleges degree programs or are a friend of the college.

It is exciting to see the growth and momentum of the academy in such a short time, said Jim Chidester, president and charter member of the academy. In addition to his role with the academy, Chidester is also an instructor of construction management in CoECS.

The potential impact of what its members will be able to accomplish is limitless, as we strive to achieve the Alumni Academys mission goals of helping to bring visibility to the College of Engineering and Computer Science, acting as mentors to students and recent graduates, and providing a means of networking for all alumni of the College.

Jessie Jones, a charter member of the academy, works as assistant chief engineer of planning for the Arkansas Department of Transportation. She is the president-elect of the Academy for 2024.

Dr. Abhijit Bhattacharyya, dean of the CoECS, said that it is wonderful to see the growth of the Academy entering its third year of operation.

This brings the membership to a total of 70 members. The Academy provides these accomplished alumni an opportunity to reconnect with their peers as well as the university and the college, continued Bhattacharyya. It is a privilege to be part of this effort that will have a transformative impact on the college for years and decades to come.

Other new inductees and their current professional positions are:

Bradley Clark, geotechnical branch chief, Southwestern Division Dam Safety Production Center, U.S. Army Corps of Engineers, Little Rock

Aaron Benzing, chief financial officer, Hawkins Weir, Little Rock

Rose Garrett, mechanical engineer and medical program manager, U.S. Army Corps of Engineers, Little Rock

Lee Morgan, president and CEO, The Systems Group, Little Rock

Cody Hardin, research engineer, Mississippi State University, Starkville, Miss.

Pedtra Wilson Flournoy, senior systems engineer, Trinity Industries, Dallas

Gabe Knight, White River systems engineer, U.S. Army Corps of Engineers, Little Rock

Christopher Crowley, chief information officer, Big River Steel, Osceola

Shaun Roberson, project manager, Garver, North Little Rock

Thomas Kennett, retired military and FedEx pilot, Memphis

David Sales, retired military, executive vice president, JANUS Research Group, Evans, Ga.

David Williamson, president, Automation Outfitters, Jonesboro

Zachery Hill, manager of region engineering, Entergy, Little Rock

Ryan Essington, signal application engineer, Alstom Transportation, Jacksonville, Fla.

Lesley Wright, associate professor in mechanical engineering, Texas A&M University, College Station, Texas

Wade Tate, retired military, supervisor and primary systems engineer, JANUS Research Group, Evans, Ga.

Jason MacDonald, director of water resource, Fisher Arnold, Jonesboro

Ryan Blankenship, resident engineer, Arkansas Dept. of Transportation, Paragould

Michael Busick, senior structural engineer, Arkansas Dept. of Transportation, Little Rock

Timothy Arquitt, Jonesboro

Bob Earwood, managing partner, Inspyre Group, LLC, Memphis

Craig Light, City Water and Light, Jonesboro

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Tech community pleased with Alberta move to change rules around engineer title – Edmonton Journal

Canadas tech community is applauding a proposal by the Alberta government that would allow more workers to use the software engineer title.

Premier Danielle Smiths government introduced a bill on Monday that would allow for broader use of the descriptor, which is common in the tech industry but not recognized by the provinces professional engineers.

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If passed, Bill 7 would carve out an exception in the provinces Engineering and Geoscience Professions Act, granting software engineers and those with similar roles permission to use the title.

This is an important development for the innovation sector in the province and will give companies and their employees the freedom to use titles that have long been universally accepted in the tech industry, said Sam Pillar, chief executive of Edmonton-based tech company Jobber, which has used the software engineer title.

It has become a point of contention in the tech sector, where people working in program development and other technical roles are often called software engineers.

However, use of the title raised the ire of the Association of Professional Engineers and Geoscientists of Alberta, which filed lawsuits against tech companies that use variations of the engineer title.

The association, which did not immediately provide comment Tuesday, has argued the term engineer comes with a licensed and ethical set of responsibilities and accountabilities akin to other regulated professions, such as health and legal roles.

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More than 30 tech companies signed a bill last October, seeking a change that would allow them to more freely use the engineer title. They said the current law hampers their ability to compete for global tech talent, which has long been lured to the U.S. instead with promises of big job titles and even bigger salaries.

Jobber was sued by the engineering association over its use of the engineer title, making Pillar one of the most vocal figures in the fight to change how the term could be used.

He called Albertas proposal an important development.

It is critical that companies like Jobber are able to compete on a level playing field for top talent, he said, in a statement.

This much-needed clarification will go a long way to ensuring we can do that.

Benjamin Bergen, president of the Council of Canadian Innovators, was equally happy with the proposed change because he thinks it will help Canadian tech companies compete more freely for talent.

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He cited data showing postings for software developers received far fewer applicants than software engineers, and the quality of applicants wasnt as high.

If you hinder a companys ability to be able to access the best and brightest from around the world by being stuck on nomenclature, youre actually impeding them, Bergen said.

He feels its important that Alberta is acting now because job titles are constantly evolving in tech. With the dawn of artificial intelligence technology like Chat-GPT, for example, he said prompt engineer is cropping up and could face similar opposition.

But its not just Alberta, which Bergen says has the countrys largest contingent of engineers because of its proximity to the oilsands, where the engineering title could come under fire.

B.C. and Ontario have similar legislation but not enforced it in the software engineering context, Bergen said.

He hopes Albertas new approach sets a precedent.

I think our concern as an organization is that this type of enforcement was going to begin sweeping to other provinces as well.

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Cloud service firms lock customers in while nickel-and-diming them – The Guardian

US small business

Its a companys dream business model the services are too difficult to switch, and small price hikes are often overlooked

Netflix recently announced another price increase. It was just a couple of bucks. No big deal, right? Wrong.

This price increase comes after another announced increase back in 2022 and this time actually ranges from 16% to 20% depending on the service. Why is Netflix doing this? Because it can. Netflix is no dummy. It knows that almost all of its customers will stick with the service even though its costing a little more. And theyre right. I love Netflix, so Im going to pay.

Netflix isnt the only online service provider thats increased prices in the past year or so. Big cloud is upping its prices everywhere. During this period Microsoft raised the prices of its Microsoft 365 office applications in various countries by about 9%. Its closest competitor in this space, Google, increased its Workspace monthly prices by as much as 20%. Salesforce.com, the leading provider of customer relationship management products, bumped up the monthly fees on many of its products by 9%.

Businesses getting internet service from Comcast are now seeing higher monthly charges and consumers getting their music from Spotify are now paying 10% more each month for its premium service. The largest providers of cloud storage and applications Microsoft, IBM, Amazon Web Services and Google Cloud all have increased their hosting and storage fees anywhere from 11% to as much as 50% compared with a year ago.

This is a business model unlike anything weve seen in the past and its awesome for the software providers. But what about users? What about my small business?

Lets say youre a company that has invested significantly in one of these cloud platforms to run your business. Youve got all your data there. Youve built integrations, customizations and specialized applications. Youve spent great amounts of money on consultants, experts and trainers to help your employees get the most from these platforms. Like Netflix and Spotify, youre used to these products and value their familiarity. So when theres a price increase you may grumble, but youre not going to change. You know it would be too costly and too disruptive. So you just accept it.

A business model where a company can increase prices almost at will? Thats the cloud. Some say that security of our data is the biggest challenge when hosting in the cloud. But thats not it. For most users, control is the real issue.

Because of the cloud, users get the most recent applications and software fixes in real time. They can easily access their information from anywhere and from just about any device. They can store their data with managed service providers who have more wherewithal and resources to secure and protect it. All of this is an improvement over having a server and a bunch of clunky Windows computers connected to it in your office thats supported by some IT geek down the road.

But having all of these benefits comes with a great variable: what will be your future annual cost? Thats not up to you. Its up to the technology industry. Its not just the monthly fees that consumers and small businesses are paying today, but the monthly fees that we will be forced to pay tomorrow. We dont have control over this.

Like Netflix, the big cloud providers and even smaller cloud-based software platforms can pretty much increase their prices at will. You may say that these companies need to be careful of a public backlash, and to some extent thats true because whenever a well-known brand like Netflix or Microsoft raises prices theres always some short-term media blowback.

But the media doesnt pay much attention to the frequent monthly fee increases levied upon small businesses by unfamiliar, but just as important, vertical applications that control their orders, inventory, billings and payroll. For example Zoho, a lesser-known but popular customer relationship management provider, increased monthly fees by 15% last year. Xero, a cloud-based accounting application, bumped up its monthly fees by about 6%. Zendesk, a leading provider of cloud-based customer support applications, also increased its monthly fees.

How can we protect ourselves from these inevitable cost increases? We cant. Unless youre a huge company, youre not going to be able to persuade your software vendor to lock into a multiyear agreement. And no software company is going to commit to holding prices the same. And unless the price has increased dramatically (which it never does, because these people know that small increments usually fly under the radar), youre not going to endure the pain and suffering of moving to another cloud-based provider, especially when that provider is ultimately going to do the same thing to you.

For small businesses and consumers, thats whats wrong with the cloud. But for the tech industry and companies like Netflix, its a beautiful thing.

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SAIC OutFront: ‘Trust, but Verify’ Cloud SLAs, Experts Say – MeriTalk

As Federal government agencies are fast-tracking their secure multi-cloud journeys, experts this week urged agencies to take a trust, but verify approach to cloud security, which may require a cultural change across organizations.

At the OutFront: Continuous Agility forum hosted by SAIC and MeriTalk in Arlington, Va., on Nov. 2, one government official said that verifying the contracts between Federal agencies and their cloud providers otherwise known as service-level agreements (SLAs) is crucial to a secure cloud strategy.

Jamie Holcombe, chief information officer (CIO) for the U.S. Patent and Trademark Office (USPTO), explained that agencies must ensure their SLAs can be met, and the best way is to take a trust, but verify approach.

I started the journey with a multi, hybrid cloud strategy, Holcombe said, reflecting on his five years at the USPTO. And as we walked through that, it was hard as heck to get everyone culturally thinking about how to move forward, because theyre worried about security.

I always had the attitude [of] buyer beware. Its all about the SLAs. So, youre as secure as your SLAs are, because the cloud providers are providing services that are best effort, he added. Yes, it will have the security that they say it will, but you have to test. And thats a big thing trust, but verify.

The CIO said that while these may seem like simple concepts, procurement and operations are often at odds.

You have to get those two units together to ensure your SLAs can be met and dont accept the base contract, he said. Buyer beware, whatever your services are, make sure they fit your requirements.

Sharon Woods, director for the Defense Information Systems Agency (DISA) J-9 Hosting and Compute Center, noted that part of embracing a trust-but-verify approach involves a mindset shift.

However, she noted that while many SLAs are becoming more routine, one area where SLAs are becoming more challenging for her agency is with edge devices.

For instance, Woods said there are a lot of basic questions that can be tough to answer such as what does shipping out devices look like, what happens when something goes wrong, or what is the cloud provider expecting for patching because the devices are disconnected.

Thats something were still unpacking, Woods said. JWCC [the Joint Warfighting Cloud Capability] has been around for less than a year. So, were still working through that. But I think that thats one of the emergent areas where were encountering some challenges with SLAs.

Nevertheless, embracing these challenges and building trust with a provider is critical to a more secure cloud, according to Alan Halachmi, director of solutions architecture for Worldwide Public Sector at Amazon Web Services (AWS).

A lot of conversations that we have still today start with, Why should I trust the cloud provider? Halachmi said. So, this time that is inevitably spent just to secure the environment itself from us, giving you the confidence that you have the ability to secure your workloads in a way where you have control of who has access to what the content is and so forth, is I think material.

That peace of mind and sense of security allows Federal agencies to more quickly meet their mission outcomes, added SAIC Chief Technology Officer Bob Ritchie.

One of the things that Ive observed is the inheritable cloud security model the ability to go fast as a result of that cloud inheritance, Ritchie said. And so, you mentioned the timely trivia question on how much is FedRAMP and how much is approved by CC SRG [Cloud Computing Security Requirements Guide] at the different impact levels. That very much helps us go fast and really get the mission outcomes.

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