Latest news with #dataScience
National Post
4 hours ago
- Business
- National Post
Software Launches for SCIEX OS Ecosystem to Help Scientists Accelerate Discoveries and Streamline Lab Operations
Article content MARLBOROUGH, Mass. — SCIEX, a global leader in life science analytical technologies and operating company of Danaher Corporation (NYSE: DHR), announces three software ecosystem enhancements at ASMS. These developments will present new ways to acquire data, new standards for performance, and new practices to extract elevated insights, all supporting the theme that 'all science is data science now.' Article content This new Microsoft Windows 11 compatible release drives operability enhancements with speed and automation to improve customers' time to results. SCIEX OS 4.0 delivers advanced hardware support for the latest SCIEX innovations, including today's newly launched ZenoTOF 8600 system. In addition, automated workflow improvements and progressive software functionalities establish the benchmark for efficiency, accuracy, and precision. Article content The intuitive interface empowers operators to seamlessly integrate both new and existing workflows into SCIEX OS. This enables faster deployment and improves operational readiness when compared to previous SCIEX software systems. Administrative features within SCIEX OS 4.0 boosts security and compliance to the ecosystem so labs can produce data with the highest integrity and traceability. Article content AI Quantitation software ushers in a new era of artificial intelligence driven data processing automation. Article content AI Quantitation software is a focused solution that eliminates data process operator bias and accelerates actionable decision-making across the absorption, distribution, metabolism, and excretion (ADME) workflows. With the power of artificial intelligence, AI Quantitation software automatically predicts the most suitable fragments for MRM analysis of new compounds or analytes and eliminates the need for time-consuming compound standard infusions and manual fragment optimization. Article content The impact of AI Quantitation software reflects SCIEX and Mass Analytica's continued commitment towards drug discovery laboratories with practical, efficient tools. By integrating AI-driven automation into established workflows, this solution helps reduce manual workload, improve consistency, and support faster decision-making. Scientists can now focus more on research and less on routine data processing. Article content To improve accessibility, SCIEX supports the vibrant open-source software community with SCIEX MS Data Converter 2.0. Article content SCIEX strives to offer integrated SCIEX OS data processing so customers can unlock the full potential of their data, whether using open-source tools or their own data processing capabilities. Knowing the rapid innovation of the scientific community, SCIEX seeks to improve the usability, flexibility, and availability of our data to the entire community. SCIEX MS Data Converter 2.0 keeps pace with the latest software languages and ensures the highest quality of collaboration and service we strive for at SCIEX. Article content 'With these updates, we want to empower customers to take the next step in their LC-MS journey. We know software is a critical component of success for scientists, and the SCIEX OS ecosystem continues to prove its ability to provide the insights needed to make impactful discoveries and decisions,' said Chris Lock Ph.D., Vice president of global research and development at SCIEX. 'Our reoccurring theme this year is 'prove it.' The proof is in the data, and we invite you to come explore it with us.' Article content SCIEX empowers our customers to solve the most impactful analytical challenges in quantitation and characterization. With groundbreaking innovation and outstanding reliability and support, SCIEX has been at the forefront of the field for over 50 years. Article content Since the launch of the first-ever commercially successful triple quadrupole in 1981, we continue to develop technologies and solutions that influence life-changing research and outcomes. That's why thousands of life science experts around the world choose SCIEX to get the answers they can trust. Article content Advances in human wellness depend on the power of precise science. Article content SCIEX is proud to be part of Danaher. Article content Danaher's science and technology leadership puts SCIEX solutions at the forefront of the industry, so they can reach more people. Being part of Danaher means we can offer unparalleled breadth and depth of expertise and solutions to our customers. Together with Danaher's other businesses across Biotechnology, Diagnostics and Life Sciences, we unlock the transformative potential of cutting-edge science and technology to improve billions of lives every day. Article content The SCIEX clinical diagnostic portfolio is for in vitro Diagnostic Use. Rx Only. Product(s) not available in all countries. For information on availability, please contact your local sales representative or refer to All other products are For Research Use Only. Not for use in Diagnostic Procedures. Article content Trademarks and/or registered trademarks mentioned herein, including associated logos, are the property of AB Sciex Pte. Ltd. or their respective owners in the United States and/or certain other countries (see Article content Article content Article content Article content
Forbes
3 days ago
- Business
- Forbes
Dell Taps Qualcomm's AI 100 Chips For Upcoming Pro Max Plus Laptops
At Dell Technologies World 2025 in Las Vegas earlier this month, as you might expect in this day and age, many of the announcements and releases revolved around AI and AI-driven solutions. The day one and two keynote speeches from Michael Dell and Jeff Clarke, both specifically highlighted advancements in AI, from the cloud to the edge, along with AI factories and modern workplace solutions. As a long-time accelerated computing enthusiast, I thought one particular announcement, regarding an upcoming Dell Pro Max Plus mobile workstation, flew a bit under the radar. The Dell Pro Max Plus is a premium 18' desktop-replacement class laptop designed specifically with AI engineers and data scientists in mind. In fact, it is the first machine of its kind to feature not one, but two enterprise-grade discrete NPUs, namely the Qualcomm AI 100. Each AI 100 features 16 of Qualcomm's 7th-gen AI cores with 144 MB of on-chip memory, and each is capable of delivering up to 400 Int8 TOPs and 200 FP16 TOPs of compute performance. Each AI 100 is also paired to 32GB of LPDDR4X memory (64GB in total) offering up to 136GB/s of peak bandwidth, but the entire complement of AI compute resources and memory are presented to the system as a single resource pool. Qualcomm's AI 100 accelerators in the Dell Pro Max Plus are integrated on a custom PCB, that is attached via PCI Express, and installed in the laptop where a discrete GPU would normally reside. Incorporating the discrete AI accelerators with a relatively large memory capacity in this way allows the system to handle large AI models locally, without relying on the cloud, that are simply too much for most on-processor NPUs and discrete GPUs. This is a key differentiator for the Dell Pro Max Plus; the ability to process AI workloads directly on the device enhances security, reduces latency, and ultimately gives users greater control over their proprietary data. Dell's decision to integrate a discrete AI accelerator card rather than a GPU does have some drawbacks, however. While the Qualcomm AI 100s with 64GB of memory will be capable of running models that are simply too large to fit in the 24GB of memory available in even NVIDIA's current, most powerful laptop GPU, the NVIDIA RTX PRO 5000 Blackwell Generation, these Qualcomm chips don't handle any graphics processing or 3D rendering. That will obviously limit gaming on the system (which likely isn't a concern for the users targeted by the Dell Pro Max Plus), but it will also hinder some creator and pro-vis workloads as a result. The Dell Pro Max Plus is built around Intel's most powerful Core Ultra 200HX series processors and offers up to 96GB of system memory, so it'll have plenty of CPU horsepower and a relatively capable integrated GPU with a modern media engine, but neither can make up for the lack of a discrete GPU in some workloads. There are also products built around AMD's 'Strix Halo' Ryzen AI Max series of processors to consider. Strix Halo has a somewhat unique design that combines up to 16 CPU cores with a powerful GPU, connected to system memory over a 256-bit wide memory interface. In a system with 128GB of memory, the GPU in the Ryzen AI Max series can access up to 96GB of memory, which would technically allow it to process even larger models than the pair of AI 100s in the Dell Pro Max Plus, but without as much compute muscle. All that said, the upcoming Dell Pro Max Plus with Qualcomm AI 100s still represents an interesting value proposition for AI engineers and data scientists that can benefit from a mobile form factor. The AI PC landscape is still taking shape, but there's no denying it's here to stay and the need for AI compute resources isn't going away anytime soon. It's great to see Dell taking a chance on an innovative solution and I suspect the Dell Pro Max Plus has many potential users intrigued.
National Post
21-05-2025
- Business
- National Post
The AI skills gap is growing, but so are affordable paths to catch up
This article was created by StackCommerce. Postmedia may earn an affiliate commission from purchases made through our links on this page. Article content Article content As AI technology continues to weave itself into the core operations of nearly every sector, Canada is feeling the growing pressure of a national skills gap. A recent report from the Vector Institute revealed a 37% increase in demand for AI-related expertise across the country—a trend driven by rising adoption in fields like finance, healthcare and engineering. Unlike broader tech roles, which have faced contraction or stagnation in recent years, AI jobs are multiplying. The problem? In some cases, the workforce isn't prepared to fill them. Article content The rise of generative AI tools like ChatGPT has accelerated the need for professionals who not only understand data science and machine learning but also know how to use modern language models for productivity and innovation. As more Canadian companies explore automation, algorithmic decision-making and natural language tools for business functions, the ability to work effectively with generative AI is quickly becoming a foundational skill, much like Excel or email once were. Article content While many courses and certifications in this space can cost hundreds or even thousands of dollars, there are more accessible options for learners looking to get started. One such opportunity is the 2025 Generative AI & ChatGPT Course Bundle, currently available for $28. Article content Independent AI learning Article content Designed for professionals and aspiring developers alike, the program offers more than 40 hours of instruction across five in-depth courses, covering a range of topics including Python programming, data analysis and real-world projects in generative AI. Article content Article content The value isn't just in learning how to prompt ChatGPT. It's in understanding how these tools connect with code, data pipelines and actual business outcomes. For those navigating a shifting job market, especially as traditional career paths become more automated, investing in AI literacy is more than a technical decision—it's a strategic one. Article content Article content
Yahoo
19-05-2025
- Sport
- Yahoo
Could government data unit learn from elite sport?
The government has recently set up a new data science unit in 10 Downing Street, with the hope of using tools including AI to cut costs across Whitehall departments. But could it benefit from looking at how data is gathered and used in elite sport? That's the suggestion from data experts and academics at the cutting edge of understanding how it can benefit sport. Manager of Premier League side AFC Bournemouth Andoni Iraola has even credited data science with helping his side reach their record points tally in the top flight of English football. "For me, data is vey valuable," the manager said, adding that he uses player performance data to get the maximum from his playing squad. "I like to analyse. And not just one game. We have data on 38 games, all the passes, all the training, there are patterns that you see, there is a reason behind this. "It's something that helps us. It cannot be probably the most important thing, for me but, definitely a big big help, yes." But it's not just football that is using performance data. At Salisbury races, on-course bookmaker Robert Perry explains how a horses' form, or performance data, is used to set the betting odds. "Individual horses respond differently to conditions and different track configurations," he said. "How well a horse runs on a straight track, how it runs on a curved track, on grass, on the all weather, up the hill etc, how it did in previous races, all that data is fed into a computer and used to calculate the odds of it winning." Sports science and the application of performance data is also being taught and used at several universities, including Bournemouth. Lecturer Adam Sewell processes all the data analysis for GB Basketball. "For me it's about transferring from a sport into a political environment," he said. "The way that we collect the data, the way we bring it all together, and that feedback aspect is really important. "It makes sure we can provide that evidence base for whatever we're looking at. "Whether it be government policy or team actions in a sport, to provide that insight to coaches or a minister, so you can make that coach or a minister's life easier." The government's new data science unit hopes to use AI to speed up hospital admissions, to use data from HMRC to track uncollected taxes, even using an AI programme to redact legal documents. Professor Andy Calloway from Bournemouth University said performance data could be used in lots of ways, not just in sport. "The way in which we use data in sport is really well evidenced," he said. "There's lots of really good examples from which government can learn. "You think about what you do every day with wrist monitors, heart-rate monitors, all of that is being recorded by companies to be able to use the data, it's going to make some interesting insights into healthcare. "We can already see that as having leverage in reducing health insurance, and those kind of aspects. "If the government wants to use AI to replace people, we've got to trust that the policymakers are putting in safeguards to protect people and we need to make sure that we don't lose sight of the human component as the end result of all of this use of data." You can follow BBC Dorset on Facebook, X (Twitter), or Instagram. PM plans to 'unleash AI' across UK to boost growth
BBC News
19-05-2025
- Sport
- BBC News
Could Downing Street data science unit learn from elite sport?
The government has recently set up a new data science unit in 10 Downing Street, with the hope of using tools including AI to cut costs across Whitehall could it benefit from looking at how data is gathered and used in elite sport?That's the suggestion from data experts and academics at the cutting edge of understanding how it can benefit of Premier League side AFC Bournemouth Andoni Iraola has even credited data science with helping his side reach their record points tally in the top flight of English football. "For me, data is vey valuable," the manager said, adding that he uses player performance data to get the maximum from his playing squad."I like to analyse. And not just one game. We have data on 38 games, all the passes, all the training, there are patterns that you see, there is a reason behind this."It's something that helps us. It cannot be probably the most important thing, for me but, definitely a big big help, yes." But it's not just football that is using performance Salisbury races, on-course bookmaker Robert Perry explains how a horses' form, or performance data, is used to set the betting odds."Individual horses respond differently to conditions and different track configurations," he said. "How well a horse runs on a straight track, how it runs on a curved track, on grass, on the all weather, up the hill etc, how it did in previous races, all that data is fed into a computer and used to calculate the odds of it winning." Sports science and the application of performance data is also being taught and used at several universities, including Adam Sewell processes all the data analysis for GB Basketball."For me it's about transferring from a sport into a political environment," he said."The way that we collect the data, the way we bring it all together, and that feedback aspect is really important. "It makes sure we can provide that evidence base for whatever we're looking at. "Whether it be government policy or team actions in a sport, to provide that insight to coaches or a minister, so you can make that coach or a minister's life easier." 'The human component' The government's new data science unit hopes to use AI to speed up hospital admissions, to use data from HMRC to track uncollected taxes, even using an AI programme to redact legal Andy Calloway from Bournemouth University said performance data could be used in lots of ways, not just in sport."The way in which we use data in sport is really well evidenced," he said. "There's lots of really good examples from which government can learn."You think about what you do every day with wrist monitors, heart-rate monitors, all of that is being recorded by companies to be able to use the data, it's going to make some interesting insights into healthcare. "We can already see that as having leverage in reducing health insurance, and those kind of aspects."If the government wants to use AI to replace people, we've got to trust that the policymakers are putting in safeguards to protect people and we need to make sure that we don't lose sight of the human component as the end result of all of this use of data." You can follow BBC Dorset on Facebook, X (Twitter), or Instagram.
