Adopting a digital transformation strategy in the face of tight budgets and cuts could save the NHS from becoming increasingly burdened and possibly collapsing as the healthcare service we know. Health secretary Jeremy Hunt has committed 4bn to invest in technology for the NHS, but the level of digital transformation and its maturity across 239 trusts is mixed at best. Achieving a data-sharing, paper-free NHS appears a little way off. Solid projects have been undertaken recently to adopt more digital services over traditional on-premise IT systems in public healthcare. These projects are not as comprehensive as the IT overhaul undertaken by the Cambridge University NHS Hospitals Trust in partnership with HP, but they do show how the NHS is beginning to use more digital technology that yields results.

This morning I found myself looking all over my apartment for an interesting news article I wasn't able to finish yesterday. The search eventually took me to the living room, which was littered with 3-D models. Thankfully, it took me only a couple of hand gestures to tidy up. Then I found the article I was looking for, floating in midair just behind the spot where a life-size model of an astronaut had been only moments before. That narrative sounds like something out of a Harry Potter book.

Recently, the social media giant Facebook has also jumped on the bot development bandwagon. There is no exaggeration in saying that bots will be an integral part of apps interface and revolutionize the way of using both web and mobile apps in the future. At this point, it is interesting to link bots with Artificial Intelligence (AI), as bot development is the first step toward this groundbreaking technology. We can imagine new apps economy as a combination of bots, automation, and cross-platform frameworks. In a way, machine learning and connectivity concepts are going to take center stage.

At one of the recent conferences we've discusses the possibility to apply artificial intelligence to agriculture and the great benefits of it. Through numerous investigations it was found out that economics can make a significant improvement after moving from theoretical artificial intelligence concept to its practical application in the agriculture niche. Actually, what an artificial intelligence is? The machine learning involves computers' ability to learn from a great variety of calculations and data in order to finally provide an appropriate decision. One of our experts specified a number of agricultural applications that can be used for technology purposes.

As news organizations scramble for ways to cut costs, robot video conferencing is one tool that could dramatically expand reporters' access to events and previously unaccommodating government agencies. There's nothing new about using video conferencing -- the business is booming and is expected to reach 2.9 billion in revenue by 2020. But robots, used in video conferencing mode as a journalism tool, could dramatically alter the industry at large. Imagine a bureau of robots in Afghanistan, or in a highly secured building like the Pentagon, stationed at the White House -- or, locally, the State House. Reporters could, functionally, be present for hearings, briefings and interviews -- and multi-tasking -- when they are not able to be physically present.

"We become what we behold. We shape our tools and then our tools shape us." - John Culkin (based on Marshall McLuhan's ideas) Something big is happening in design and engineering. For all of human history, we have created tools that help us do what we want to do -- faster, better, cheaper. But we have always had to direct those tools; tell them exactly what to do for us to achieve our goals. This hasn't changed from the time of stone tools (which we had to wield with our hands) to modern digital design tools (which we wield with the click of the mouse).

Google has designed its very own custom chip for deep neural networks, the technology behind its artificial intelligence based internet services. At Google I/O, CEO Sundar Pichai spoke about company's self-designed ASIC or application-specific integrated circuit to drive deep neural networks. Google is using AI to identify objects and faces inside photos and same AI processes'Google Now' voice queries. Google is in fact using the same technology to deliver smart home speaker with Google Assistant built-in. Google calls the chip as Tensor processing unit, based on company's TensorFlow software engine.

The World Economic Forum's recent The Future of Jobs Report went further in saying that '65% of children entering primary school today will ultimately end up working in completely new job types that don't yet exist'. In putting ThisWay forward to the pitch competition at Venturefest, Stewart McTavish, founding Director of the accelerator ideaspace, at University of Cambridge, said: "We look for founders with big ideas and the business acumen to leverage our support. Ultimately we are looking for companies that will positively affect millions in three to five years' time. ThisWay's traction in hiring for large and small companies has demonstrated an ability to exceed these expectations." Founder/CEO,Angela Hood left the world of engineering and architecture to lead research with PhDs in the areas of machine learning, artificial intelligence and data modeling.

IBM Corp. announced on Thursday (May 19) Nvidia power on IBM cloud. Cloud computing is becoming an increasingly powerful option for enterprises looking for data analytics, storage, and application hosting. By adopting Nvidia's Tesla solution, IBM is making inroads in supporting AI and cognitive across a variety of enterprises. HPC (high performance computing) need powerful GPUs to do data analytics, AI, and graphical computations. In the energy sector, Haliburton and Repsol both use GPUs to analyze seismic data.

Google has announced Google Assistant, a cloud-powered artificially intelligent personal assistant. Unlike Google Now, you interact with it in the form of a conversation - either in Google's new mobile chat apps or at home using an Amazon Echo-like mic-equipped speaker. Allo is a competitor to WhatsApp and Facebook Messenger, with the benefit of Google Assistant. It can automatically suggest replies to messages in your conversations, even if it takes the form of a photo. So, if someone sends you a photo of a cat then Allo will suggest a reply of'that's a cute British short hair' using its image recognition algorithms. Allo will link your conversations to the wider web too.