The original scan (left) and the areas where information was extracted (in red and green, right) using the technology developed at the Technion. Researchers at Technion-Israel Institute of Technology have developed a deep learning-based method for mapping critical receptors on cancer cells, which is expected to significantly improve personalized cancer treatment, the Office of the Technion Spokesperson reported on Wednesday. According to the report, the new technology extracts molecular information from images of breast cancer biopsies that underwent hematoxylin and eosin (H&E) staining. The staining, made by a common dye used to test biopsy tissue, allows the pathologist to identify the type of cancer and its severity but does not allow the identification of biological characteristics that are crucial for personalized treatment.

ABBOTT PARK, Ill., Sept. 12, 2019 -- Abbott announced that new research, published in the journal Circulation, found its algorithm could help doctors in hospital emergency rooms more accurately determine if someone is having a heart attack or not, so that they can receive faster treatments or be safely discharged.1 In this study, researchers from the U.S., Germany, U.K., Switzerland, Australia and New Zealand looked at more than 11,000 patients to determine if Abbott's technology developed using artificial intelligence (AI) could provide a faster, more accurate determination that someone is having a heart attack or not. The study found that the algorithm provided doctors a more comprehensive analysis of the probability that a patient was having a heart attack or not, particularly for those who entered the hospital within the first three hours of when their symptoms started. "With machine learning technology, you can go from a one-size-fits-all approach for diagnosing heart attacks to an individualized and more precise risk assessment that looks at how all the variables interact at that moment in time," said Fred Apple, Ph.D., Hennepin HealthCare/ Hennepin County Medical Center, professor of Laboratory Medicine and Pathology at the University of Minnesota, and one of the study authors. "This could give doctors in the ER more personalized, timely and accurate information to determine if their patient is having a heart attack or not." A team of physicians and statisticians at Abbott developed the algorithm* using AI tools to analyze extensive data sets and identify the variables most predictive for determining a cardiac event, such as age, sex and a person's specific troponin levels (using a high sensitivity troponin-I blood test**) and blood sample timing.

Artificial Intelligence (AI), one of the most thrilling and transformative opportunities of our time, is the topic de jour lately with every intersection of intellectual discourse and business discussions sounding in on the potential perks, risks and dangers. Africa's tech ecosystem, one of the most exciting in the world right now, has a growing community of African start-ups that are keen on developing solutions for African problems using this emerging technology. The most desired business outcomes from AAI are: to improve/develop new products/ services; to achieve cost efficiencies, streamline business operations; and accelerate decision making. Enterprises that have enabled AI have reported increased operational efficiency, making faster, more informed decisions and innovating new products and services. To date, strong AI has not yet come into existence, it's still hypothetical hence it exists in the dreams of research scientists and imagination of science fiction writers.

It's clear that there's a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the '80s and the '90s. It's clear that hardware is beginning to evolve, and it's also quite clear that the way that we power these hardware systems is going to have to change. GPUs and AI hardware are tremendously power-intensive, and this week we speak with Robert Gendron of Vicor Corporation, a company focused on powering AI systems. Vicor is in partnership with Kisaco Research, which is putting on the 2019 AI Hardware Summit September 17 and 18 in Mountain View, California. Robert speaks about why the way that they are powered needs to be different than traditional manufacturing equipment.

According to analyst CB Insights, Chinese AI company Bytedance is the highest-valued startup – currently private, up-and-coming company – in the world. The venture, which is valued at US$75 billion, is running content platform Toutiao in China, which uses machine learning to tailor a newsfeed for each individual viewer out of traditional and new media sources. The second highest-valued startup according to CB Insights is also from China – ride-hailing service Didi valued at US$56 billion – but U.S companies make up the bulk of the top 10. Juul Labs, WeWork, Airbnb, Space X and Epic Games are all valued at US$15 billion or more. A total of 21 companies in the ranking were valued at US$10 billion or more, making them decacorns.

AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate AI hiring tools, only to realise the technology was learning in the male-dominated industry to favour resumes of men over women. As much as this seems to be a facepalm situation, this happens a lot and seems not so easy to solve in an imperfect world, where even the most intelligent people have biases.

As internet connectivity becomes ubiquitous, everything around us is getting upgraded. We are ditching our old regular devices and getting on-board with the latest smart devices. This is what is happening with our car purchases as well. We are leaning towards smarter cars. These are deployed with many features which increases our safety standards and now they made their way to India.

What could be more exciting than seeing yourself starring alongside your favorite actor in a movie, music video, or TV program? Yes, that's possible--well, kind of, by using a new AI-based deepfake app that has gone viral in China over this weekend, climbing to the top of the free apps list in the Chinese iOS App Store in just three days. Dubbed ZAO, the app is yet another deepfake app for iPhone that lets you superimpose your face onto actors like Leonardo DiCaprio, Kit Harrington from "Game of Thrones," and many others in video clips from their popular movies and TV shows with just a selfie uploaded by you. Developed by Chinese developer MoMo, one of China's most popular dating apps, ZAO was released on Friday (August 30) and rapidly got downloaded millions of times with users being excited about the experience for the app's realistic face-swapping videos that last for as little as 8 seconds. ZAO Deepfake Face Swap App Sparks Privacy Outcry However, ZAO faced a sudden backlash from some users concerned about the potential misuse of deepfake technology.

The federal government plans to spend almost $1 billion in nondefense artificial intelligence research and development in fiscal 2020, according to a supplemental report to the president's budget request. "The U.S. has pushed the boundaries for computational power, we have given our innovators the freedom to thrive, and today we can proudly say America continues to be the leader in artificial intelligence," federal Chief Technology Officer Michael Kratsios said Tuesday at a Center for Data Innovation event. "This new supplement report demonstrates just how diverse and extensive our efforts are." The figure indicates a weighty increase from 2016--when all agencies, including defense, collectively spent about $1 billion on AI. However, immediately after Kratsios' announcement, industry experts and former federal officials weighed in on what more needs to be done to secure and sustain American leadership in AI across the global technological landscape.