The Irish Times
중도 성향
IT/기술
Scrapped €50m Irish Rail IT project could lead to extra costs of up to €800,000 a month
Initial testing has ‘revealed problems’ with latest software delivered by contractor
IT/기술 · "PROBLEMS" · 총 30건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 84,410건을 분석한 결과, 뉴스 심리지수는 50.2(균형)입니다. 긍정 4,225건(5.0%)·중립 78,088건(92.5%)·부정 2,097건(2.5%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 14.8(중도 균형)입니다.
Initial testing has ‘revealed problems’ with latest software delivered by contractor
Comments
AI as we know it has been used for everything from making full-length feature films to solving nearly impossible math problems. But today AI is also, relatively speaking, just a child. That said, AI is a child that has learned languages, how to play games, how to blackmail people, how to power robots and, in […]
AI supporters see the move as the answer to America’s medical woes, but critics warn the technology is not advanced enough yet
Scientists in Finland found bees could solve an insect version of the classic "box-and-banana" problem.
Nine major industry trade groups have warned the Trump administration that the rapid expansion of AI data centers is severely straining global memory chip supplies. This surge in demand is driving up prices and reducing availability for critical sectors like automotive, healthcare, and consumer electronics, posing risks to US supply chains and the broader economy.
Hyperscalers have come under scrutiny for their impact on water quality and availability.
New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the field’s tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need strong fundamentals in: Data structures and algorithms for problem-solving. Operating systems, databases, and networking for system-level understanding. Core programming languages such as C++, Java, and Python. AI can autocomplete syntax, but if you don’t understand how things work under the hood, you’re likely to struggle to debug or optimize. 2. Learn how to work with AI, not against it. The best engineers will not try to out-code AI. Instead, they will learn to: Write clear prompts to generate better code snippets. Review and debug AI-generated code for accuracy, performance, and security. Use AI for productivity boosts while still exercising judgment. Think of AI as a teammate. The real skill is knowing when to trust it and when not to. 3. Build projects that showcase end-to-end thinking. Employers increasingly look for engineers who can design and build systems, not just solve problems. Create projects that show you can: Define requirements clearly. Use AI tools responsibly within the workflow. Deliver a product that scales and is maintainable. 4. Sharpen your system design skills early. Even junior engineers are now asked questions about basic system design with AI. Expect to explain to prospective employers: How you would responsibly integrate AI into a system. How to design fallbacks when AI fails. How to ensure scalability and reliability. 5. Develop strong communication skills. Today’s engineers don’t just code in isolation. You will be expected to: Explain design choices to teammates and stakeholders. Document decisions clearly. Collaborate effectively in cross-functional teams. This is one area where AI cannot replace you. Clear communication is a career accelerant. 6. Stay curious and keep learning. The tech industry moves fast, and AI is accelerating that pace. Cultivate habits such as: Following industry news, blogs, and open-source projects. Experimenting with new AI tools, frameworks, and libraries. Engaging in communities such as GitHub, IEEE Collabratec, LinkedIn, and Medium. Employers value engineers who keep themselves sharp and relevant. 7. Think beyond coding. AI will increasingly handle routine coding tasks. The differentiators for you will be: Problem-framing: Can you take a vague idea and turn it into a solution? Architectural judgment: Can you design systems that scale and last? Ethical awareness: Can you spot risks in AI use and address them responsibly? For more career advice, subscribe to the IEEE Spectrum Career Alert Newsletter. The biweekly newsletter features the latest information on jobs, education, management, and the engineering workplace.
Comments
Bank apologises after IT update caused problems with Lloyds, Halifax and Bank of Scotland apps Lloyds Banking Group has apologised after thousands of its customers were unable to make payments or send money due to another IT glitch. According to Downdetector, a website that lets people track real-time service issues and outages, customers started noticing problems shortly after 11am on Wednesday, with issues affecting many of the group’s brands: Lloyds Bank, Halifax, Bank of Scotland, Scottish Widows and MBNA. Continue reading...
Google, Microsoft, and other hyperscalers have come under scrutiny for their impact on water quality and availability.
Gartner's Supply Chain Symposium highlights the need for a new approach to solve for decades old problems
The tech giant predicts it will have a quantum computer that can solve commercially useful problems by the end of the decade.
The expectations for artificial intelligence (AI) in health and care are disproportionately high for how little societal debate there is on the ethical questions the technology’s use rais
Vibe coders using AI to solve simple problems, contrasting the high-stakes, risky AI investments in Big Tech.
Uncertainty is common in medicine, and AI isn’t very good at navigating it.
AMD CEO Lisa Su advised graduates entering the AI-driven job market to prioritize purpose, judgment, and problem-solving over simply learning AI tools. She emphasized that employers need individuals who can determine AI's application, not just operate the technology. Su highlighted that human judgment remains crucial for deciding which problems are worth solving and taking responsibility for outcomes.
Vibe coders aren't using AI to take over the world. They're just normal people trying to solve daily problems that annoy them.
While AI is helping coders produce code faster, it may not be producing better code, researchers warn. And that could cause problems down the road for them.
A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that.