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On Tuesday at Nvidia's GTC 2025 conference in San Jose, California, CEO Jensen Huang revealed several new AI-accelerating GPUs the company plans to release over the coming months and years. He also revealed more specifications about previously announced chips. Read full article Comments
I recently came across a fascinating research paper (Achieving Human-Level Competitive Robot Table Tennis) by Google DeepMind that […] The post Will this Google Deepmind Robot Play Table Tennis in the 2028 Olympics? appeared first on Analytics Vidhya.
South Korea is preparing to host the worlds largest AI data centre by capacity, setting its sights on global technological leadership. Upon completion in 2028, the centre will boast a 3-gigawatt capacity, making it the largest AI data facility in the world. billion. .
Telecom companies are expected to increase their spending on AI for automating network management to $20 billion by 2028, a new report from Juniper Research found. Telcos that fail to incorporate AI may ultimately struggle to keep pace with customer demands for performance and security.
Hugging Face has called on the US government to prioritise open-source development in its forthcoming AI Action Plan. million public models across various sectors and serves seven million users, proposes an AI Action Plan centred on three interconnected pillars: Hugging Face stresses the importance of strengthening open-source AI ecosystems.
For companies, balancing AI adoption and environmental impact is an imperative. According to the World Economic Forum (WEF), the power needed to support AI's growth is doubling every 100 days. By 2028, AIs energy consumption could exceed the total power used by Iceland in 2021. That mindset wont work here.
ServiceNow has launched its Yokohama platform which introduces AI agents across various sectors to boost workflows and maximise end-to-end business impact. The Yokohama platform release features teams of preconfigured AI agents designed to deliver immediate productivity gains.
In a major step toward safeguarding the future of AI, SplxAI , a trailblazer in offensive security for Agentic AI, has raised $7 million in seed funding. The new capital will accelerate the development of the SplxAI Platform , designed to protect organizations deploying advanced AI agents and applications.
The global AI market is expected to hit a valuation of $267 billion by 2028. This widespread adoption is a sign that AI can revolutionize not just entire industries, but also individual workflows. This […] The post 5 Low-Cost AI Strategies for Your Businesses appeared first on Analytics Vidhya. trillion by 2030!
AI is evolving at such dramatic pace that any step forward is a step into the unknown. Analysts are already making predictions about how the future of AI will at least in part be shaped by risk. Walking the AI tightrope isnt about moving fast; its about moving smart.
signals growing confidence in a technology that could reshape the AI compute landscape as we know it. Why AI Needs a Radical Overhaul With AI systems like ChatGPT, Claude, and Gemini becoming increasingly sophisticated, the underlying hardware is being pushed to its breaking point. And theyre doing it using light.
Deutsche Telekom has announced a collaboration with UK-based AI startup Fetch.ai to promote cutting-edge AI and blockchain solutions. in supporting an open AI and blockchain platform aimed at widespread adoption. Check out AI & Big Data Expo taking place in Amsterdam, California, and London. blockchain.
Another year, another investment in artificial intelligence (AI). According to most analysts, the answer is an overwhelming yes with global investment expected to surge by around a third in the coming 12 months and continue on the same trajectory until 2028. This is why a data driven approach is essential.
While today’s AI excels in specific areas – think GPT-4 composing poetry or DeepMind’s AlphaFold predicting protein structures – it’s still miles away from genuine human-like intelligence. With experts like DeepMind’s Shane Legg predicting human-level AI by 2028, the race is on.
Powered by global.ntt In the News AI Is Game Changer for Election Interference, FBI Warns U.S. Powered by global.ntt In the News AI Is Game Changer for Election Interference, FBI Warns U.S. We explore how AI can transform roles and boost performance across business functions, customer operations and software development.
These new facilities will provide the UK with increased computing power and data storage capabilities, essential for training and deploying next-generation AI technologies. ServiceNow’s AI platform is already utilised by 85% of Fortune 500 companies and more than half of the FTSE100. ServiceNow has pledged £1.15
Many things remain uncertain about AIs future impact on our lives. Already, 25% of Googles code is generated by AI, CEO Sundar Pichai said last October. By 2028, projects research firm Gartner, 75% of enterprise developers will use AI tools in their work. They will be pairing with AI on others.
And by 2028, 68 countries will boast renewables as their main source of power. This is crucial to the goal of tripling worldwide renewables as China accounts for almost 60% of all new global renewable energy capacity expected to come online by 2028.)
With the launch of Large Language Models (LLMs) for Generative Artificial Intelligence (GenAI), the world has become both enamored and concerned with the potential for AI. The ability to hold a conversation, pass a test, develop a research paper, or write software code are tremendous feats of AI, …
These days, cloud news often gets overshadowed by anything and everything related to AI. The truth is they go hand-in-hand since many enterprises use cloud computing to deliver AI and generative AI at scale. To function well, generative AI systems need to access the data that feeds its models wherever it resides.
The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset. billion in 2023.
Artificial intelligence (AI) is revolutionizing how professionals approach marketing and sales in every sector. By embracing AI, professionals in the field are enhancing efficiency, boosting outcomes and driving faster, more informed decisions.
In the exponentially evolving world of AI-assisted software development, ensuring the quality and security of AI-generated code is more critical than ever. According to Gartner , it is estimated that 75% of enterprise software engineers will be using AI code assistants by 2028.
With the increased hype and adoption of newer technologies such as generative AI , it has become more critical to understand the implications for processes, people, and technology and the new opportunities for the quality function. This trend is expected to continue as more companies recognize the benefits of AI-driven testing and automation.
Artificial Intelligence (AI) is transforming industries worldwide, and the corporate real estate (CRE) sector is no exception. The “ Colliers Global AI in CRE Report 2024 ” provides an in-depth exploration of how AI is reshaping CRE, offering significant breakthroughs and long-term benefits. billion by 2028.
Successfully leveraging integration, APIs, events and data is essential to the next paradigm shift from digital transformation to AI transformation While there are different ways to approach integration and automation, all roads lead to an integration platform as a service (iPaaS).
According to an IDC white paper sponsored by IBM®, by 2028, 80% of IT buyers will prioritize XaaS consumption for key workloads that require flexibility to help optimize IT spending, augment IT Ops skills and attain key sustainability metrics. IBM’s current as-a-service initiative can help enterprises achieve those benefits today.
AI ASICs: USD 1.5 billion (AI ASICs stands for “application-specific integrated circuits,” specifically those related to artificial intelligence.) billion In its 2028 projections, you can see how Yole’s experts expect certain segments to grow, namely AI and DPUs. Data processing units (DPUs): USD 0.6
Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.
Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods.
And in the period between 2023 to 2028, renewable electricity capacity is expected to grow by 7,300 gigawatts with solar PV and onshore wind usage expected to at least double over current levels in India, Brazil, Europe and the US through 2028.
Manufacturers and service providers in India are adopting NVIDIA Omniverse to tap into simulation, digital twins and generative AI to accelerate their factory planning and drive automation for more efficient operations. 25, from major industrial names like Ola Electric, Reliance Industries, Tech Mahindra, and TCS.
Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. So why is this recently expounded phenomenon surprising industries? Simply put, it is a superior iteration of intelligent automation.
In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by USD 619.08
The opinion edition discusses whether NVIDIA is the best VC in AI. The engineering installement explores a new AI framework. 📝 Editorial: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good NVIDIA’s GTC never disappoints. The research edition explores the amazing Search-R1 model. It’s 1.5x
Breakthroughs in technologies like Artificial Intelligence (AI) are changing how we think about operations management. As organizations move from a reactive approach to a proactive one, they can use technologies like the Industrial Internet of Things ( IIoT ), cloud, AI, and analytics to gain real-time data, actionable insight, etc.,
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The ongoing race between open and closed-source AI has been a key theme of debate for some time, as has the increasing concentration of AI research and investment into transformer-based models such as LLMs.
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