MIT Technology Review June 13, 2019 IBM relies on its research division with 3,000 researchers distributed across 12 locations, to stay on top of trends in emerging technology. For decades now, the company has engaged in an annual global technology outlook (GTO) process to create and adapt business units in light of what’s on the horizon. They decided AI is one of these technologies that’s on an exponential curve. Two years ago, IBM established the MIT-IBM Watson AI Lab. This collaboration has focused IBM research again on solving significant basic-science problems in AI…read more
Category Archives: AI
What you may not understand about China’s AI scene
MIT Technology Review April , 2019 Most Chinese researchers can read English, and nearly all major research developments in the Western world are immediately translated into Chinese, but the reverse is not true. Therefore, the Chinese research community has a much deeper understanding than the English-speaking one of what’s happening on both sides of the aisle. As China’s AI industry continues to grow, this could prove a major disadvantage for people in the West. Westerners have a hyped-up view of China’s AI capabilities. Westerners also lack a genuine understanding of the technical skills and capacity of Chinese companies. A few […]
China’s masses of data give it an edge in AI—but they may not forever
MIT Technology Review March 5, 2019 How can the US outcompete China when the latter has far more people and the former cares more about data privacy? Is it, in other words, just a lost cause for the US to try to “win”? According to the President of MIT, state of the art changes with research. In other words, data may not always be king. Given that our brains themselves do not require a lot of data to learn, the better we come to understand its processes, the more closely we will be able to mimic it in new types […]
China’s Huawei has big ambitions to weaken the US grip on AI leadership
MIT Technology Review March 4, 2019 Huawei plans to increase its investments in AI and integrate it throughout the company to “build a full-stack AI portfolio.” Officials from the company said last year that it planned to more than double annual R&D spending to between $15 billion and $20 billion. This could catapult the company to between fifth and second place in worldwide spending on R&D. According to its website, some 80,000 employees, or 45% of Huawei’s workforce, are involved in R&D. But Huawei is struggling to convince the Western world that it can be trusted. The company faces accusations […]
Global Artificial Intelligence Patent Survey
Inside Big Data February 22, 2019 Corresponding to the rise of 4IR digital technologies, the number of international AI based patent filings has expanded rapidly over the last few years, mostly concentrated in the United States and Asia. According to a 2016 study, approximately 75% of all AI-related patent publications in the world come from three jurisdictions: China, Japan, and the United States. Although the majority of AI-related patents are filed in these countries, Europe is also seeing substantial increases in such patent filings…read more.
Causal disentanglement is the next frontier in AI
Phys.org February 20, 2019 Complex behaviour emerges from interactions between objects produced by different generating mechanisms. Researchers in Sweden introduce a universal, unsupervised and parameter-free model-oriented approach, based on the seminal concept and the first principles of algorithmic probability, to decompose an observation into its most likely algorithmic generative models. They demonstrated its ability to deconvolve interacting mechanisms regardless of whether the resultant objects are bit strings, space–time evolution diagrams, images or networks. Although this is mostly a conceptual contribution and an algorithmic framework, they have provided numerical evidence evaluating the ability of the methods to extract models from data […]
We analyzed 16,625 papers [from Arxiv] to figure out where AI is headed next
MIT Technology Review January 25, 2019 Through their analysis, they found three major trends: a shift toward machine learning during the late 1990s and early 2000s, a rise in the popularity of neural networks beginning in the early 2010s, and growth in reinforcement learning in the past few years. The biggest shift was a transition away from knowledge-based systems by the early 2000s. Through the 1990s and 2000s, there was steady competition between all these methods. Then, in 2012, a pivotal breakthrough led to another sea change, deep learning. In the last few years, however, reinforcement learning, which mimics the […]
Emotion-reading tech fails the racial bias test
Phys.org January 3, 2019 Researchers at Wake Forest University compared the emotional analysis from two different facial recognition services, Face and Microsoft’s Face API. Both services interpreted black players as having more negative emotions than white players. According to the researchers there are two different mechanisms. Face consistently interprets black players as angrier than white players, even controlling for their degree of smiling. Microsoft registers contempt instead of anger, and it interprets black players as more contemptuous when their facial expressions are ambiguous. As the players’ smile widens, the disparity disappears. The finding has implications for individuals, organizations, and society, […]
MIT has just announced a $1 billion plan to create a new college for AI
MIT Technology Review October 15, 2018 The new college of computing is being built with $350 million in funding from Stephen A. Schwarzman, the CEO and cofounder of a private equity firm. The school will open next September. Under the recent initiative, the Quest for Intelligence, it aims to make breakthroughs in AI by bringing together researchers from cognitive science and neuroscience as well as computer science. According to the president of MIT the new approach was necessary because of the way computing, data, and AI are “reshaping the world”…read more.
Invention of ionic decision-maker capable of self-learning
Eurekalert October 15, 2018 Researchers in Japan have developed a decision-making ionic device capable of operating using electrochemical phenomena induced by the movement of protons within a solid electrolyte. When the device makes a correct decision, ions migrate toward the electrode associated with the decision. They applied this mechanism to a congested radio communication network and succeeded in demonstrating that the device can select an optimum communication channel to be assigned for a given transmission to achieve the most effective overall channel utilization in relation to changing congestion situations and more complex decisions. The invention may lead to the development […]