Hippocampal formation (HF) can rapidly adapt to varied environments and build flexible working memory (WM). To mirror the HF's mechanism on generalization and WM, we propose a model named Generalization and Associative Temporary Encoding (GATE), which deploys a 3-D multi-lamellar dorsoventral (DV) architecture, and learns to build up internally representation from externally driven information layer-wisely. In each lamella, regions of HF: EC3-CA1-EC5-EC3 forms a re-entrant loop that discriminately maintains information by EC3 persistent activity, and selectively readouts the retained information by CA1 neurons. CA3 and EC5 further provides gating function that controls these processes. After learning complex WM tasks, GATE forms neuron representations that align with experimental records, including splitter, lap, evidence, trace, delay-active cells, as well as conventional place cells. Crucially, DV architecture in GATE also captures information, range from detailed to abstract, which enables a rapid generalization ability when cue, environment or task changes, with learned representations inherited. GATE promises a viable framework for understanding the HF's flexible memory mechanisms and for progressively developing brain-inspired intelligent systems.

Bill Gates has claimed that artificial intelligence will be more of a help than a hindrance in achieving climate goals, despite growing concern that a surge in new datacentres could drain green energy supplies. The philanthropist and Microsoft co-founder told journalists that AI would enable countries to use less energy, even as they require more data centres, by making technology and electricity grids more efficient. Gates downplayed fears over AI's climate impact after mounting concerns that the tech breakthrough could lead to a surge in energy demand and require more fossil fuels as a result. "Let's not go overboard on this," Gates said. "Datacentres are, in the most extreme case, a 6% addition [in energy demand] but probably only 2 to 2.5%. The question is, will AI accelerate a more than 6% reduction? And the answer is: certainly," he said.

Bill Gates has called for greater investment in engineered crops that can adapt to climate change and resist agricultural pests, in an effort to solve world hunger. In the latest annual Goalkeepers Report from the Bill & Melinda Gates Foundation, Gates says the global hunger crisis is so immense that food aid cannot fully address the problem. What's also needed, he argues, are innovations in farming technology that can help to reverse the crisis. Gates points in particular to a breakthrough he calls'magic seeds' - including maize that has been bred to be more resistant to hotter, drier climates, and rice that requires three fewer weeks in the field. These innovations will allow agricultural productivity to increase despite the changing climate, he argues.

AI & PANDEMICS - Workshop & Lecture Series on Information Law with Frank Pasquale Time: 2020/09/28 09:00 2020/09/28 11:30 09:00-10:00 Speech "What is the Future of Automation Post-COVID-19?", based on Frank Pasquale's new book - "New Laws of Robotics: Defending Human Expertise in an Age of AI" * The official language of the event is English. Interpretation to Mandarin will not be available.

More than 3 billion people–around 50 percent of the world's population–engage with and post content online. Some of that content is misleading and potentially harmful, whether by design or as a side effect of its spread and manipulation. With the billions of daily active users on social media platforms, even if a mere 0.1 percent of total content contains mis or disinformation, there is a vast volume of content to review. In response to this challenge, automated content review technologies have emerged as an enticing and scalable solution to help triage mis/disinformation online. Yet, while many technology companies and social media platforms have promoted artificial intelligence (AI) as an omnipotent tactic to address mis/disinformation, AI is not a panacea for information challenges.

In today's competitive business environment, managers rely heavily on insight from their analytics software. Current performance, feedback from product releases, rate of new customers – these are just a few of countless questions that analytics applications answer for us. But using these analytics programs – to their fullest extent – is still an emerging discipline. As critical as their insights are, actually gleaning those insights requires surmounting myriad challenges. These include everything from lack of training to inability to formulate an effective query.

After creating waves across startups, artificial intelligence (AI) seems to have now entered the doors of justice. The Chief Justice of India, SA Bobde, has recently said that the Supreme Court has proposed to introduce a system of AI which would help in better administration of justice delivery and constitution. The CJI also made it clear that the automation would not replace humans. He said that the judiciary would continue to rely on the knowledge and wisdom of judges and the deployment of an AI integration would help reduce the number of pending cases and improve the efficiency of the judicial system. "We propose to introduce, if possible, a system of artificial intelligence. There are many things which we need to look at before we introduce ourselves. We do not want to give the impression that this is ever going to substitute the judges," said the CJI at the Constitution Day function organised by the Supreme Court Bar Association.

"Overall what we are excited about is that the training method we use is very general. We are focused on learning Dota, but we are hoping that this will give us more and more insight about how AI can solve complex problems of any kind," Dennison says. Gates is supportive of the aim of OpenAI to develop artificial intelligence for good. "This is just one of many amazing projects I had a chance to see at OpenAI, where they're working to ensure as many people benefit from AI as possible. This is an incredibly important mission, and I'm excited to see more of their work," says Gates on Twitter.

Amazon is making a home robot, according to Bloomberg. Robots are already starting to invade our houses, vacuuming and setting alarms. Could you be talking to one soon? Amazon is reported to be ramping up efforts to build and test a domestic robot named "Vesta," named after the Roman goddess of domestic life. The supposedly top-secret, years-long project was detailed by Bloomberg Monday.

JEEVES's success depended crucially on JEEVES's visual range was extremely JEEVES as successful as it was? JEEVES's success was that its software JEEVES's hardware was designed and built by JEEVES can reverse the direction of the brush. It is equipped with seven ultrasonic proximity sensors (only five were used in the competition), a wide-angle color camera, and a high-speed colorbased vision system manufactured by Newton Research Labs. Prior to the competition, the vision system was trained to recognize yellow tennis balls, pink squiggle balls, and cyan markers that marked the gate. The vision system proved extremely reliable during the competition, benefiting from clear color cues provided by the objects.