BrainChip Holdings Ltd., a leading provider of ultra-low power, high-performance AI technology, ended the 2020 calendar year having made significant strides in the development of its technology backed by the launch of its Early Access Program (EAP), availability of Akida evaluation boards, new partnerships, and expansion of its executive leadership and global facilities. "This past year saw significant progress in the development of the Akida technology in terms of both market readiness and the increase in market possibilities that the solution will provide immediate impact in" The Company's EAP was launched in June targeting specific customers in a diverse set of end markets in order to ensure availability of initial devices and evaluation systems for key applications. Multiple customers have committed to the advanced purchase of evaluation systems for a range of strategic Edge applications including Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV), Unmanned Aerial Vehicles (UAV), Edge vision systems and factory automation. Among those joining the EAP include VORAGO Technologies in a collaboration intended to support a Phase I NASA program for a neuromorphic processor that meets spaceflight requirements. BrainChip is also collaborating with Tier-1 Automotive Supplier Valeo Corporation to develop neural network processing solutions for ADAS and AV.

In 2018, William Frederick Keck III pleaded guilty in a court in Manassas, Virginia, to possession with intent to distribute cannabis. He served three months in prison, then began a three-year probation. He was required to wear a GPS ankle monitor before his trial and then to report for random drug tests after his release. Eventually, the state reduced his level of monitoring to scheduled meetings with his parole officer. Finally, after continued good behaviour, Keck's parole officer moved him to Virginia's lowest level of monitoring: an app on his smartphone.

Artificial intelligence (AI) technology can deliver valuable insights for government, but only if it has access to the right data -- and the right tools for using that data appropriately. Data is central to the framework model for AI identified by SAP research. This framework helps a government organization improve data quality, implement a technology platform and gain staff expertise for an internal AI capability, and maintain ongoing AI oversight and assurance. A government can use AI to become more data-driven in multiple ways. AI algorithms perform in-depth data analysis far more quickly than a person, producing faster insights into causes and solutions.

There has been a rapid increase in the adoption and development of artificial intelligence across the globe. Business platforms are depending on AI for better growth, efficiency, and digital transformation. Cutting-edge technologies like 5G will escalate the use cases of AI across industries. According to McKinsey Global Survey 2020, 50% of respondents reported that their companies have adopted AI in at least one business function. The global leaders in AI adoption, research, and development include Asian countries like China, Singapore, and Japan.

WHEN IT COMES to artificial intelligence (AI), spy agencies have been at it longer than most. In the cold war, America's National Security Agency (NSA) and Britain's Government Communications Headquarters (GCHQ) explored early AI to help transcribe and translate the enormous volumes of Soviet phone-intercepts they began hoovering up in the 1960s. Yet the technology was immature. One former European intelligence officer says his service did not use automatic transcription or translation in Afghanistan in the 2000s, relying on native speakers instead. Now the spooks are hoping to do better. The trends that have made AI attractive for business--more data, better algorithms, and more processing power to make it all hum--are giving spy agencies big ideas, too.

The Biden administration has quietly imposed temporary limits on counterterrorism drone strikes and commando raids outside conventional battlefield zones like Afghanistan and Syria, and it has begun a broad review of whether to tighten Trump-era rules for such operations, according to officials. The military and the C.I.A. must now obtain White House permission to attack terrorism suspects in poorly governed places where there are scant American ground troops, like Somalia and Yemen. Under the Trump administration, they had been allowed to decide for themselves whether circumstances on the ground met certain conditions and an attack was justified. Officials characterized the tighter controls as a stopgap while the Biden administration reviewed how targeting worked -- both on paper and in practice -- under former President Donald J. Trump and developed its own policy and procedures for counterterrorism kill-or-capture operations outside war zones, including how to minimize the risk of civilian casualties. The Biden administration did not announce the new limits.

GitHub is arguably the most popular hosting service for Git repositories. A code hosting platform that enables you to version control your software and collaborate with other developers. In their annual conference, the GitHub team demonstrated how they use the product and the new features that will change how you communicate with your team members, open issues, create pull requests, monitor the deployment process, and much more. Let's take it a step at a time. GitHub announced Discussions a few months ago, and it quickly became a great place to ask your questions or chat with the community that maintains your favorite project.

Three years ago, Customs and Border Protection placed an order for self-flying aircraft that could launch on their own, rendezvous, locate and monitor multiple targets on the ground without any human intervention. In its reasoning for the order, CBP said the level of monitoring required to secure America's long land borders from the sky was too cumbersome for people alone. To research and build the drones, CBP handed $500,000 to Mitre Corp., a trusted nonprofit Skunk Works that was already furnishing border police with prototype rapid DNA testing and smartwatch hacking technology. They were "tested but not fielded operationally" as "the gap from simulation to reality turned out to be much larger than the research team originally envisioned," a CBP spokesperson says. This year, America's border police will test automated drones from Skydio, the Redwood City, Calif.-based startup that on Monday announced it had raised an additional $170 million in venture funding at a valuation of $1 billion. That brings the total raised for Skydio to $340 million.

Takeaway: Before AI and the rise of FinTech, very few industry giants had the bandwidth to deal with the inherently quantitative nature of our now tech-savvy world. These AI use cases detail how AI has been a game-changer for FinTech. We've scoped out these real-world AI use cases so we could detail how artificial intelligence has been a game-changer for FinTech. Few verticals are such a perfect match for the improved capabilities brought by the AI revolution like the financial sector. Traditional financial services have always struggled with massive volumes of records that need to be handled with maximum accuracy.

From Hugh Heffner to Donald Trump, many male celebrities are known for their tendency to date younger women. Now, a new study has revealed that as many as one in five British men choose to date women at least five years younger. Researchers trawled through 120,000 dating profiles to understand whether men really do live up to the stereotype of preferring younger women. Their findings indicate that the stereotype is very much true, with men citing good looks and health as the main reasons they prefer ladies their junior. Many male celebrities are known for their tendency to date younger women.