And so, after 17 years of false starts, numerous failed attempts at feature films (including a Peter Jackson venture), more than 265 drafts, a reported budget of $200m and a production schedule in Hungary decimated by the pandemic, we are finally set to see a TV series of the video game Halo. Will it have been worth such perseverance? Since the release of the first video game in Microsoft's crown jewel franchise – 2001's Halo: Combat Evolved – the series has sold more than 81m games, generating in excess of $6bn. If a network sticks the landing, a Halo TV show could be a significant weapon in its arsenal. For the uninitiated: Halo takes place at a time of intergalactic war between humans and a collective of quasi-religious alien species known as the Covenant.

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Moses Namara about the new Black in AI academic program. In this episode, we interview Moses Namara of Black in AI about the new Black in AI academic program, a program that serves as a resource to support black junior researchers as they apply to graduate programs, navigate graduate school, and enter the postgraduate job market. Moses Namara is a Facebook Research Fellow and Ph.D. candidate in Human-Centered Computing (HCC) at Clemson University. He uses interdisciplinary research methods from computer science, psychology, and the social sciences to understand the principles behind users' adoption and use of technology, decision-making, and privacy attitudes and behaviors.

A recent article in the Financial Times argued -- fairly -- that despite the billions of dollars poured into "AI" companies, investors have, on the whole, not seen returns consistent with the hype. There are exceptions of course, but, by and large, the promise(s) appear to have not been met, as of yet. The argument was not simply a lamentation, however, with the author suggesting that the next wave of focused AI solutions might indeed generate better results and returns. Such a sentiment is not uncommon in technology. In order to garner investment, entrepreneurs employ hyperbolic language to excite potential investors and the business press follows this lead in order to ensure that they don't miss out on the appearance of prescience. So, out of the gates, there is much promise and little delivered and when this gap is revealed, negativity enters the scene.

I've written several times about how the "economies of learning" are more powerful than the "economies of scale". Through a continuous learning and refinement process, organizations can simultaneously drive down marginal costs while accelerating time-to-value and de-risking projects via digital asset re-use and refinement (see Figure 1). Think about how us lowly humans learn. Whether trying to hit a golf ball or playing the piano or water skiing, we learn though the "feedback loop of failure". And the more real-time, immediate that feedback loop, the more quickly we can assess what we did wrong, adjust and then try again.

In 2017, the luxury business was marked by technology-driven disruption, a recovering global economy, and the narratives of the consumer "experience" and "transformation" economies. What can we expect in 2018? Automation has impacted numerous areas of the economy and society such as finance and transportation. The luxury business is no exception. With automated commerce, more advanced algorithms in retail business and smarter devices will mean outsourcing some of the fashion experience for the affluent consumer for whom time is the ultimate luxury, or the forward-thinking shopper who wants to be the trendsetter.

On February 9, 2017, two technology market leaders made announcements: SAP unveiled its next-generation intelligent ERP system, and Nvidia announced that demand for artificial intelligence (AI) applications was driving demand for its graphics platform. On the face of it, these announcements were business as usual – routine sound bites that proliferate in the tech news landscape. Look a bit deeper, though, and you realize that this day marked a profound shift in both the way businesses use technology and the implications for the rest of us. For decades, developing a computer that could think has been the Holy Grail of technology. And while we have made tremendous progress in our ability to process vast amount of data, the "thinking" part has remained mostly elusive.

On February 9, 2017, two technology market leaders made announcements: SAP unveiled its next-generation intelligent ERP system, and Nvidia announced that demand for artificial intelligence (AI) applications was driving demand for its graphics platform. On the face of it, these announcements were business as usual – routine sound bites that proliferate in the tech news landscape. Look a bit deeper, though, and you realize that this day marked a profound shift in both the way businesses use technology and the implications for the rest of us. For decades, developing a computer that could think has been the Holy Grail of technology. And while we have made tremendous progress in our ability to process vast amount of data, the "thinking" part has remained mostly elusive. We are still stuck between two diametrically opposed visions of AI – on one side, it's the smart but deeply dystopian world of HAL ("2001: A Space Odyssey") and on the other, it's a simpler world of devices like Alexa or Siri playing songs or ordering items for us.

"Orange is the New Black," is probably most Americans only peek into what life is like behind bars. The Netflix show offers a complicated look at a women's prison, showcasing how relationships develop between inmates, guards interact with prisoners and the often difficult living conditions behind bars. But is everything the action-packed show depicts accurate? Here is a fact-check of eight of Season 4's biggest storylines: In "Orange is the New Black" Season 4, celeb-chef Judy King, played by Blair Brown, gets a private room when she shows up to Litchfield Penitentiary for tax evasion. However, Martha Stewart, the celebrity chef and television personality that inspired King, did not have it so easy. While serving five months for insider trading, Stewart mopped floors and cleaned toilets.