GenAI

Dell Unveils New AI-Powered Infrastructure at SC24 Conference

Dell Unveils New AI-Powered Infrastructure at SC24 Conference

Dell announced a suite of new products and services—many intended to address roadblocks to companies adopting generative AI and LLMs—at the International Conference for High Performance Computing, Networking, Storage, and Analysis, held from Nov. 17 to 22 in Atlanta. Varun Chhabra, senior vice president of Infrastructure and Telecom Product Marketing at Dell, said the most pressing issues preventing AI adoption are quality of data, cost, and energy, power demands, and sustainability concerns. “Enterprises are pursuing AI to remain competitive in today’s digital landscape, but they need to harness their proprietary data to differentiate,” Dave Vellante, chief analyst at theCUBE Research,…
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Effortless robot movements

Effortless robot movements

Four-legged animals that start walking and gradually pick up speed will automatically fall into a trot at some point. This is because it would take more energy not to change gait. This correlation was discovered more than 40 years ago. Now, Alin Albu-Schäffer, a professor at the Chair of Sensor-based Robotic Systems and Intelligent Assistance Systems at TUM, has successfully transferred this method to the movement of robots. Experts use the term 'intrinsic dynamics' for the way humans and animals perform energy-efficient movements. For example, they adjust the stiffness of their muscles when they walk on a more rigid surface.…
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NTT Data: CISOs Most Negative About Generative AI

NTT Data: CISOs Most Negative About Generative AI

Security and infrastructure are two of the top concerns for organisations rolling out generative AI, according to a recent report from IT company NTT Data. However, most companies are optimistic about its future potential. The Global GenAI Report, based on responses from 2,307 generative AI decision-makers and influencers, primarily from large organisations globally, found that CISOs are the executives most pessimistic about the technology. Many CISOs (45%) held negative sentiments about generative AI because they were “feeling pressured, threatened and overwhelmed” by it. Only 19% of total respondents from various roles shared the same sentiment as CISOs. “CISOs are uniquely…
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Invisible touch: AI can feel and measure surfaces

Invisible touch: AI can feel and measure surfaces

AI-based technologies are rapidly learning to see, converse, calculate and create. One thing they still don't do well, however, is measure or "feel" surfaces -- a purely mechanical function. "AI has more or less acquired the sense of sight, through advances in computer vision and object recognition," says Stevens physics professor Yong Meng Sua. "It has not, however, yet developed a human-like sense of touch that can discern, for example, a rough sheet of newspaper paper from a smooth and glossy sheet of magazine paper." Until now, that is. Researchers in Stevens' leading-edge Center for Quantum Science and Engineering (CQSE)…
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ANZ CIO Challenges: AI, Cybersecurity & Data Analytics for 2025

ANZ CIO Challenges: AI, Cybersecurity & Data Analytics for 2025

CIOs across Australia and New Zealand’s public sector face a “hard 12 months” managing their technology estates amid cost constraints, according to a leading regional Gartner analyst. However, there is optimism that investments in AI will deliver the productivity gains many anticipate. Gartner recently released the public sector findings from its CIO Technology Executive Survey. The firm found that 94% of ANZ government CIOs named data analytics as their top technology investment for 2025, followed by investments in cyber security (91%) and application modernisation (85%). Dean Lacheca, a Gartner VP analyst, told TechRepublic that an austerity mindset was in play…
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Behavioral analysis in mice: More precise results despite fewer animals

Behavioral analysis in mice: More precise results despite fewer animals

Researchers at ETH Zurich are utilising artificial intelligence to analyse the behaviour of laboratory mice more efficiently and reduce the number of animals in experiments. There is one specific task that stress researchers who conduct animal experiments need to be particularly skilled at. This also applies to researchers who want to improve the conditions in which laboratory animals are kept. They need to be able to assess the wellbeing of their animals based on behavioural observations, because unlike with humans, they cannot simply ask them how they are feeling. Researchers from the group led by Johannes Bohacek, Professor at the…
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AI Market Trends: Key Insights & How Enterprises Should Adapt

AI Market Trends: Key Insights & How Enterprises Should Adapt

Ben Smith, chair of digital and analytics at global consulting firm Kearney, has witnessed several significant enterprise technology changes throughout his career. The first change came with the advent of the PC, followed by the client-server model, the HTTP browser, and the smartphone. As he surveyed the market at the end of 2024, he said the AI boom “is bigger than all of them.” “I think it’s going to lead to a lot of craziness, like we saw between ‘95 to ‘04,” Smith told TechRepublic, referencing the internet boom and the rise of Google. “So, from a vendor perspective, this…
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How to Run LLMs Locally

How to Run LLMs Locally

While many applications rely on LLM APIs, local deployment of LLMs is appealing due to potential cost savings and reduced latency. Privacy requirements or a lack of internet connectivity might even make it the only option. The major obstacle to deploying LLMs on premises is the memory requirements of LLMs, which can be reduced through optimization techniques like quantization and flash attention. If inference latency is not a concern, running LLMs on CPUs can be an attractive low-cost option. Libraries and frameworks like Llama.cpp, Ollama, and Unsloth help set up and manage LLMs. Best practices for building local LLM applications…
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Robot identifies plants by ‘touching’ their leaves

Robot identifies plants by ‘touching’ their leaves

Researchers in China have developed a robot that identifies different plant species at various stages of growth by "touching" their leaves with an electrode. The robot can measure properties such as surface texture and water content that cannot be determined using existing visual approaches, according to the study, published November 13 in the journal Device. The robot identified ten different plant species with an average accuracy of 97.7% and identified leaves of the flowering bauhinia plant with 100% accuracy at various growth stages. Eventually, large-scale farmers and agricultural researchers could use the robot to monitor the health and growth of…
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