If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
IBM is developing a processor to improve system efficiency by combining compute and memory in a single device overcoming what is known as the Von Neumann bottleneck. IBM this week at an IEEE CAS/EDS AI Compute Symposium advanced an effort to improve the efficiency of systems by a factor of a thousand by 2029. It aims to accomplish this by giving developers access to an open-source Analog Hardware Acceleration Kit written in Python. The kit enables them to begin testing an approach to in-memory computing that will run neural networking algorithms much faster than any existing processor. The processor IBM is developing achieves that goal by combining compute and memory in a single device to overcome what is known as the Von Neumann bottleneck.
SDAIA and Alibaba Cloud announced an MoU to partner in supporting Saudi Arabia's path to develop smart cities through AI, SPA said. "Saudi Arabia's Vision 2030 has clear goals to transform KSA cities into smart ones by unlocking the value of city data as a national asset to realize Vision 2030 aspirations," said Abdullah Bin Sharaf Alghandi, President of SDAIA. SDAIA and Huawei signed an MOU to recognise Arabic language and character using AI technology and with the help of researchers from the kingdom and Huawei, according to SDAIA's twitter account. Saudi Arabia's Vision 2030 reform plan is a package of economic and social policies designed to free the kingdom from dependence on oil exports. SDAIA is seeking IBM's help in developing "real use cases" of AI in areas of health, energy and other sectors, as well as training through a strategic relationship, it said.
Artificial intelligence could soon help screen for Alzheimer's disease by analyzing writing. A team from IBM and Pfizer says it has trained AI models to spot early signs of the notoriously stealthy illness by looking at linguistic patterns in word usage. Other researchers have already trained various models to look for signs of cognitive impairments, including Alzheimer's, by using different types of data, such as brain scans and clinical test results. But the latest work stands out because it used historical information from the multigenerational Framingham Heart Study, which has been tracking the health of more than 14,000 people from three generations since 1948. If the new models' ability to pick up trends in such data holds up in forward-looking studies of bigger and more diverse populations, researchers say they could predict the development of Alzheimer's a number of years before symptoms become severe enough for typical diagnostic methods to pick up.
A large computational build-up is predicted to occur on the edge in the coming years, as organizations look to capture and act upon data as soon after it's generated as possible, when it has the highest value. Today, there are few standards and protocols defined for how all this is going to work. But in the meantime, hardware and software providers, including IBM, are espousing the benefits of an open ecosystem approach. The edge, which includes server rooms, cell towers, and smaller data centers deployed in the field, is set to proliferate over the next five years, according to the IDC. By 2025, 50% of new on-premise infrastructure will be deployed in edge locations, up from 10% today, the company says.
IBM has partnered with pharmaceutical giant Pfizer to design an artificial intelligence (AI) model to predict the eventual onset of the neurological disease seven years before symptoms appear. Alzheimer's is currently incurable and is often diagnosed too late to prevent it from accelerating. Symptoms for the disease include the gradual degradation of memory, confusion, and difficulty in completing once-familiar daily tasks. Published in The Lancet eClinical Medicine, the researchers used small samples of language data from clinical verbal tests provided by the Framingham Heart Study, a long-term study that has been tracking the health of more than 5,000 people and their families since 1948, to train the AI models. The AI model's ability was then verified against data samples from a group of healthy individuals who eventually did and did not develop the disease later in life.
FinnAir, an airline that dominates domestic and international air traffic in Finland, thought it could use AI to manage airport congestion. AI alone was not up to the job so Finland's largest airline instead implemented a hybrid system that uses AI to make predictions about air traffic and allows the humans-in-the-loop to make better decisions, explains Tero Ojanpera, CEO of Silo.ai, a Finnish AI lab that specializes in bringing cutting-edge AI talent to corporations around the world. Getting the FinnAir project to that point was not a question of plug and play. It required a complex multi-step modeling process to help the organization become more AI literate. Finnair's experience neatly illustrates the current state of play. AI is not fully ready to make the kind of decision-making corporates expect it to make and even if it were corporate teams and networks are not fully ready to implement and reap the full benefits of AI.
IBM has announced that it will be splitting the company into two in order to increase its revenue margins. According to a statement issued by CEO Arvind Krishna, the company is diversifying away from its traditional portfolio and growing its cloud computing service. A new company codenamed NewCo will be handling the spun-off business. IBM said the split will allow it to focus on areas with immense potential for growth. It has divulged that NewCo will be a new market leader in cloud IT-managed services right from the get-go.
Two new open source AI projects will look to take advantage of space tech in a bid to solve challenges around cube satellite comms and space junk. IBM is no stranger to innovations in space, with a space flight chronology dating all the way back to 1944, when it helped to first design and build the automatic sequence Controlled Calculator for Harvard University which was used by Navy scientists to prepare ballistic tables. Almost 76 years later, IBM looks to be ready to join the space race with its latest foray into artificial intelligence (AI). According to the latest announcements from Big Blue, two new open source AI projects will look to take advantage of space technology in a bid to solve technical challenges around cube satellite communication and the growing problem of space junk.