SAS, a specialist in data and AI solutions, has unveiled what it describes as a “game-changing approach” for organisations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual licence, SAS hopes to equip organisations with readily deployable AI technology to productionise real-world use cases with unparalleled efficiency. Chandana Gopal, research director, Future of Intelligence, IDC, said: “SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings, “An area that is ripe for SAS is product ..read more

An AI tool has proven capable of detecting signs of cancer that were overlooked by human radiologists. The AI tool, called Mia, was piloted alongside NHS clinicians in the UK and analysed the mammograms of over 10,000 women.  Most of the participants were cancer-free, but the AI successfully flagged all of those with symptoms of breast cancer—as well as an additional 11 cases that the doctors failed to identify. Of the 10,889 women who participated in the trial, only 81 chose not to have their scans reviewed by the AI system. The AI tool was trained on a dataset of over 6,000 previous bre ..read more

In a bid to accelerate the adoption of AI in the enterprise sector, Wipro has unveiled its latest offering that leverages the capabilities of IBM’s watsonx AI and data platform. The extended partnership between Wipro and IBM combines the former’s extensive industry expertise with IBM’s leading AI innovations. The collaboration seeks to develop joint solutions that facilitate the implementation of robust, reliable, and enterprise-ready AI solutions. The Wipro Enterprise AI-Ready Platform harnesses various components of the IBM watsonx suite, including watsonx.ai, watsonx.data, and watsonx.gover ..read more

In an interview at AI & Big Data Expo, Alessandro Grande, Head of Product at Edge Impulse, discussed issues around developing machine learning models for resource-constrained edge devices and how to overcome them. During the discussion, Grande provided insightful perspectives on the current challenges, how Edge Impulse is helping address these struggles, and the tremendous promise of on-device AI. Key hurdles with edge AI adoption Grande highlighted three primary pain points companies face when attempting to productise edge machine learning models, including difficulties determining optima ..read more

The hype surrounding generative AI and the potential of large language models (LLMs), spearheaded by OpenAI’s ChatGPT, appeared at one stage to be practically insurmountable. It was certainly inescapable. More than one in four dollars invested in US startups this year went to an AI-related company, while OpenAI revealed at its recent developer conference that ChatGPT continues to be one of the fastest-growing services of all time. Yet something continues to be amiss. Or rather, something amiss continues to be added in. One of the biggest issues with LLMs are their ability to hallucinate. In o ..read more

The UK’s potential to harness the benefits of AI in crucial sectors such as healthcare, food safety, and sustainability is under threat due to a significant “confidence gap” among the public. According to a study conducted by BSI, 54 percent of UK respondents expressed excitement about AI’s potential to revolutionise medical diagnoses and 43 percent welcomed AI’s role in reducing food waste. However, there is a prevailing lack of trust. This scepticism could hinder the integration of AI technologies in the NHS, which is currently grappling with challenges like the COVID-19 backlog and an agein ..read more

The UK has announced a £13 million investment in cutting-edge AI research within the healthcare sector. The announcement, made by Technology Secretary Michelle Donelan, marks a major step forward in harnessing the potential of AI in revolutionising healthcare. The investment will empower 22 winning projects across universities and NHS trusts, from Edinburgh to Surrey, to drive innovation and transform patient care. Dr Antonio Espingardeiro, IEEE member and software and robotics expert, comments: “As it becomes more sophisticated, AI can efficiently conduct tasks traditionally undertaken by hu ..read more

In a bid to foster greater digital trust in AI products used for medical diagnoses and treatment, the British Standards Institution (BSI) has released high-level guidance. The guidance, titled ’Validation framework for the use of AI within healthcare – Specification (BS 30440),’ aims to bolster confidence among clinicians, healthcare professionals, and providers regarding the safe, effective, and ethical development of AI tools. As the global debate on the appropriate use of AI continues, this auditable standard targets products primarily designed for healthcare interventions, diagnoses, and h ..read more

NHS staff will soon have access to advanced AI technology to enhance the speed and accuracy of patient diagnosis and treatment, thanks to a new £21 million fund. The AI Diagnostic Fund will allow NHS Trusts to apply for funding to expedite the deployment of AI imaging and decision support tools, particularly for diagnosing conditions such as cancers, strokes, and heart conditions. The Health and Social Care Secretary, Steve Barclay, has also pledged to implement AI stroke-diagnosis technology across all stroke networks by the end of 2023, a significant increase from the current 86 percent. Thi ..read more

NHS Shared Business Services (NHS SBS) has announced a procurement framework for “pioneering” AI software to diagnose strokes. Breakthroughs in medical AIs are helping to reduce patient suffering, the likelihood and/or severity of long-term complications, and even save lives across a number of ailments. Some of the benefits from medical AI breakthroughs are achieved through improved understanding leading to better treatment, while others are due to reducing the amount of time healthcare professionals have to spend on repetitive tasks. Over 100,000 people in the UK suffer from a stroke per year ..read more