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A recent #MITSMRChat suggests three best practices for organizations implementing AI. Our recent Twitter chat exploring AI implementation connected more than 150 people wrestling with tough questions surrounding the technology. What do their organizations use AI for? What are the biggest challenges to implementation? And what lessons can we take away from this conversation?

On August 9, 2019, Illinois Governor J. B. Pritzker signed into law first-of-its-kind legislation regulating the use of artificial intelligence (AI) in Illinois.

This position is for a Deep Learning Compiler Software Engineer in Intel's AI Products Group. Come join our industry award winning team! Intel AI, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI) with the Intel AI products portfolio. Harnessing silicon designed specifically for AI, end to end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel AI is inside AI and leading the next evolution of compute. All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance….

For many years, Apple has shown the world the processor while important can take a backseat to the software integration when it comes to performance. In iPhone performance tests, Apple consistently outperforms Samsung who relies on the Android OS to interface between the apps and CPU. In the early days of WebRTC – it was maddening to developers that Apple's FaceTime was much better at transmitting quality video than their applications because they were at the mercy of the OS. Chome's speed advantage helped it dethrone the browser king. None of this is lost on Intel.

Thirteen years ago, in Silicon Valley, a company was born. One simple goal of this company was to prove that electric cars could be better in every way over the traditional fuel-powered cars. Since then, Tesla led by Elon Musk has become a household name in the automotive industry, especially when it comes to manufacturing electric cars. They are said to be the pioneer in manufacturing electric cars, but they were not the first one to make electric cars. What they did first was to create a large consumer base who would want to try out new technology, and Tesla did not let their car owners down.

You may have heard that, on Monday, Silicon Valley startup Cerebras Systems unveiled the world's biggest chip, called the WSE, or "wafer-scale engine," pronounced "wise." It is going to be built into complete computing systems sold by Cerebras. What you may not know is that the WSE and the systems it makes possible have some fascinating implications for deep learning forms of AI, beyond merely speeding up computations. Cerebras co-founder and chief executive Andrew Feldman talked with ZDNet a bit about what changes become possible in deep learning. There are three immediate implications that can be seen in what we know of the WSE so far.

During The AI Summit London 2019, TechXLR8's own Tech TV team sat down with Anthony Impey, CEO of Optimy and a Board Member of the London Chamber of Commerce and Industry, to discuss the role AI has to play in the future of London's business landscape. With flagship shows in San Francisco, London, New York, Munich, Hong Kong, Singapore, and Cape Town, 2019 will see over 30,000 delegates from businesses globally joining the AI revolution through The AI Summit events. The AI Summit series uniquely has the support of tech's elite, with our 2019 Industry Partners featuring Agorai, AWS, IBM Watson, Microsoft, Oracle, Google, HCL, Publicis Sapient, Genpact, Intel alongside 300 sponsors and partners. Exclusive, inspirational insights from acclaimed speakers are frequently reported by the world's foremost press including official media partners CBS, Reuters, BBC, The Times, Quartz, Tech Radar.

Naspers is looking to invest in machine learning as Africa's largest company seeks to expand following an Amsterdam listing of assets including a stake in Tencent Holdings. The South African Internet and technology group spent about US$3-billion on its various ventures around the world last year, including Indian food-delivery service Swiggy and Russian classifieds site Avito. Machine learning -- a subset of artificial intelligence -- is another area of interest, as is online education, executives said on Friday. "We are interested in investing in machine learning," CEO Bob van Dijk told shareholders at the AGM in Cape Town. "The amount of data is exploding -- last year we collected more data in the world than ever before."

FedEx's robot has a top speed of 10 mph and can carry about 100 pounds. A company spokesman said its typical speed would vary depending on the route. The robot relies on sensors typically used on self-driving cars to identify and avoid pedestrians. The SameDay Bot is capable of climbing steps, but customers will need to be home to accept packages -- it won't leave a package on a doorstep or open a front gate. The robot is being developed by DEKA, the Manchester, New Hampshire engineering company owned by Segway inventor Dean Kamen.