Unquestionably, AI-powered technology will be pivotal in driving and defining your next generation of services. Because when we create machines that perceive and think for themselves, everything changes.
Winners in the AI race will require specialist expertise to understand, adapt and deploy Artificial Intelligence in products and services that create true commercial and societal value. Beyond that, there is a pressing need to engage with policy makers to ensure widespread responsible governance of AI.
The future of AI is at the edge
Learn how low power and more intelligence can go hand in hand
Discover the future of AI-enhanced products and digital services
Find out what opportunities Edge AI is presenting across diverse markets
The journey to vehicle autonomy
The journey to vehicle autonomy is long and complex. A group of visionary companies are addressing the holistic challenges that will lead to L5.
Today we’re engaged in the big leap from L2 to L3, or in some cases from L2 to L4, in which all safety-critical functions are performed by the vehicle. We expect a gradual roll out of L3/L4 from 2022, where an increasing number of autonomous vehicles (AVs) will exist on our roads or industrial areas.
Critical technology we’re developing includes simulation, sensor development, machine vision and perception, whilst marrying technology decision-making with transparency and ethics.
Earlier diagnosis, treatment & improved patient outcomes
The current global healthcare model is unsustainable. Economic and demographic pressures on care systems are being exacerbated by the challenge of discovering and delivering new medicines. AI will be at the heart of the solution, transforming service delivery with improved efficiency and personalization.
Right now, we’re working to transform the accuracy, relevance and timeliness of information physicians can access across the care pathway, from clinical trials and surgery to medication adherence. It promises earlier diagnosis and treatment, improved outcome prediction and, ultimately, the saving of lives.
We use AI to help clients achieve the seemingly impossible
We’re tracking the hidden developments from academia, research labs and the wider AI sphere. Our intention is to identify and understand those most likely to make the leap to practical, value-creating innovation. Ultimately, this work will enable you to develop the AI-powered products, services and experiences that will transform how we live and the world around us.
Driven by advances in silicon and machine learning algorithms, Edge AI is presenting vast opportunities for businesses across diverse markets.
- 머신 러닝 & AI
- Audio & Video
- 커넥트비티 & 사물인터넷(IoT)
- 전자 & ASICs
- 신호 처리
기술 업계의 인공지능(AI)의 보급화 움직임이 본격화되고 있다. 초기에는 업계 선구자들이 이끈 인공지능의 특정한 적용이 주를 이뤘다면 이제는 점차 AI의 보급화와 폭넓은 적용이 가속화 되는 추세이다.
- 머신 러닝 & AI
Many believe that even Einstein started out with tabula rasa, a clean slate. An absence of innate, preconceived ideas or predetermined goals. Just like machines in fact...
- 머신 러닝 & AI
Commercial teams, technologists and policy makers will need to work together to ensure efficient and responsible AI delivery and to both earn and build public trust. Today, we’re working with policy makers and business leaders to do just that.
Is your AI responsible? Five questions to ask yourself
As the debate moves on – and as we continue to learn from real-world deployments rather than abstract research – it seems like a good time to revisit our core principles for responsible AI. What should we be considering when we develop and deploy AI?
Ofcom: use of AI online content moderation
A key theme to the debate about harmful internet material is how automated approaches driven by AI can enhance content moderation. These approaches may have implications for our future use, and attitudes towards, online communication.
By examining online use and attitudes, our Ofcom-commissioned report helps widen the debate on the risks we all face.
Meet our AI experts
Director of Artificial Intelligence
Dr Sally Epstein
Head of Strategic Technology
Head of AI Research
Senior Vice President, US Division Head
Vice President of Engineering
Head of Intelligent Healthcare
Head of Transport & Infrastructure
Head of Edge AI
AI & Analytics