The field of artificial intelligence (AI) started in the 1950's in the defense industry, and has evolved over the years. In the 2010s, new computer-based "deep-learning" methods were introduced that significantly accelerated the field. Physician-scientists are using this technology in the medical field to improve diagnostic methods. One such researcher is PCF-funded investigator Dr. Beatrice Knudsen, a Professor of Biomedical Sciences and Pathology and Director of Translational Pathology at Cedars-Sinai Medical Center in Los Angeles. She is one of the world's leading research pathologists, and is an expert on diagnosis of prostate cancer and other diseases from tissue specimens.

The survey shows that 64% of businesses expanded the areas of their business touched by AI in the last year. Over half (56%) of businesses increased their data scientist and technologist headcount to support their AI tech expansion while 54% created new roles focused on emerging technology. With the increase in hiring, 54% of organizations were able to implement additional AI strategies. AI is a key differentiator in the business landscape as 93% of respondents say that emerging technologies, including deep learning, machine learning and artificial intelligence, help their businesses be more competitive. Among these respondents, 57% report that AI tech is helping to improve and develop products while 54% report these technologies are optimizing control and collaboration.

As an architect with a focus on urban design, Legg Yeung realized the limitations of her impact-driven work given the traditionally creative way of framing solutions. This inspired her to make a leap towards a more data driven career, going back to school at UC Berkeley's School of Information to gain new skills with the vision of bringing more quantitative science and deep learning to the field of architecture and urban design. After working hard at developing new skills, she recently landed a resident position at Microsoft Research AI.

If you read the first article in this series, you're already on your way to upping your math game. Maybe some of those funny little symbols are starting to make sense. Also be sure to check out parts 3, 4, 5, 6 and 7. But here's another dirty little secret nobody tells you about AI: If you're a developer or sys-admin you probably already use a lot of libraries and frameworks that you know little about. You don't have to understand the inner workings of web-scraping to use curl.

Just as every handwritten signature is unique, so is every cancerous tumor. Researchers at the Technion-Israel Institute of Technology have now used artificial intelligence and big datato decode the unique signatures of certain cancer cells. The resulting technology – dubbed a "computerized pathologist" –could significantly boost development of personalized cancer treatments. The researchers worked with digital images from breast-cancer biopsy samples. The new technology, described earlier this summer in the medical journal JAMA, extracts molecular information from the cell shape (morphology) and its environment.

Artificial intelligence research organization OpenAI has achieved a new milestone in its quest to build general purpose, self-learning robots. The group's robotics division says that Dactyl, its humanoid robotic hand first developed last year, has learned to solve a Rubik's cube one-handed. In a demonstration video showcasing Dactyl's new talent, we can see the robotic hand fumble its way toward a complete cube solve with clumsy yet accurate maneuvers. It takes many minutes, but Dactyl is eventually able to solve the puzzle. It's somewhat unsettling to see in action, if only because the movements look noticeably less fluid than human ones and especially disjointed when compared to the blinding speed and raw dexterity on display when a human speedcuber solves the cube in a matter of seconds.

This projected was originally was for one of my clients on up-work. You can find the code on my Github repo. Unfortunately, It does not contain the data-set(corpus) on which I've trained the model due to some privacy reasons. But you can train it on any text corpus which you want. Let's begin with the problem statement, so there is some XYZ company which deals with all sorts of repairing works related to electricity, plumbing everything that comes in a household.

We are co-organising the 2nd annual Deep Learning Indaba which will be held at Stellenbosch University from 9-14 September 2018. The Deep Learning Indaba exists to celebrate and strengthen machine learning in Africa through state-of-the-art teaching, networking, policy debate, and through our support programmes, such as the IndabaX and the Kambule and Maathai awards. The Indaba works towards the vision of Africans becoming critical contributors, owners, and shapers of the coming advances in artificial intelligence and machine learning. The report on the outcomes of the first Indaba 2017 can be read here.

Daniel Burrus is considered one of the World's Leading Futurists on Global Trends and Disruptive Innovation. The New York Times has referred to him as one of the top three business gurus in the highest demand as a speaker.

Businesses today continue to be bombarded by an increasing number of cyberthreats, as hackers become adept at identifying and exploiting vulnerabilities in security systems. A survey by the World Economic Forum ranked data theft and large-scale cyberattacks 4th and 5th in a list of the biggest risks facing our world. With cybercrime regularly hitting the headlines, regulators are implementing new security guidelines and costly fines for violations. Adding to the pressure are consumers who are increasingly prepared to abandon business with a company if they've been hit by a data breach. Businesses can't afford to turn a blind eye to cybersecurity, which has now become a top priority for enterprises.